Earticle

In this paper, we combine the literature review and technique reports to conduct research on the novel non-contact power supply system tuning methodology based on fuzzy neural network theory under the random load condition. Power supply by non-contact way could increase the flexibility of electrical equipment, eliminates the traditional power supply methods of safe hidden trouble and makes up for the traditional power supply methods because of the existence of electrical connections of the lack of divination. The background harmonic separation of qualitative method is detecting system side and user side common connection point for the size of the harmonic distortion effect. The genetic algorithm with adaptive system, cellular automata, chaos theory and artificial intelligence is considered for the next decade computing technology has a significant impact on the key technology which is adopted by our research to optimize the proposed system. Mathematical analysis and dynamic load change can lead to circuit reactance, so system will deviate from the resonance state. The experimental simulation proves the feasibility and robustness of our proposed methodology. In the near future, more related research will be conducted to optimize and modify the current method.

This paper is concerned with the finite-time chaotic synchronization and dynamic errors in finite-time stabilization of master-slave systems. We suggest solving these issues using a virtual recursive adaptive nonlinear controller when different unknown parameters occur. Therefore, a systematic design approach is defined for constructing both virtual adaptive nonlinear feedback control laws and associated Lyapunov functions. The corresponding sufficient conditions to achieve synchronization between two chaotic systems are obtained based on the Lyapunov stability theory. Then, two applications are evaluated using our approach: Genesio-Tesi and Coullet systems which are two topologically dissimilar systems, known as difficult to synchronize. The results presented in this paper demonstrate both effectiveness and feasibility of our control laws.

Particle filter based on particle swarm optimization (PSO-PF) is not precise enough and trapping in local optimum easily, it is not able to meet the requirement of modern navigation system. To solve the problems, a new particle filter based on dynamic clone particle swarm optimization (DPSO-PF) is presented in this paper. This improved filter enables the particles to fit the condition better and then reach the goal of global optimization through orthogonal initialization, clonal selection and local searching of self-learning, accordingly a best balance is achieved between optimal exploring and convergence rate. Finally univariate nonstationary growth model and integrated navigation model are used for simulation experiment and the results indicate that this new filter improves the precision of GPS/INS integrated navigation system.

Based on the serious flank wear process in high speed cutting of nickel-based superalloy, the orthogonal experiment of turning is processed. The purpose is to research the effect of the cutting parameters on the superalloy Inconel 718 tool flank wear by using the ceramic tool on the condition of the high speed cutting. Replace the tool surface every cutting 25s. According to the variation of cutting parameters, observe the tool flank wear. The research results indicate that depth of cut has highly obvious influence on tool flank wear, followed by feed rate and cutting speed.

The need of high performance and high range devices is increasing drastically as rapid growth is accumulating in Information and communication technology (ICT). In Gb/s transmission system high speed optical transmitter requires high power for transmitting information at long distance. The high power transmitters consumes enormous power and exhibits heating effect in devices, leakage power problems as well due to that the device response became slower. In this work, high performance and high range design of 100Gb/s optical DPSK transmitter is designed in 20 nm Field Programming Gate Array (FPGA) using multiple IO standards. The high performance and high range design is achieved using proposed technique by integrating the two IO Standards one is Pseudo Open Drain (POD) and other is Point- to- Point Differential Signaling (PPDS). The POD IO standards is consuming less power feature, while PPDS IO Standard provides the faster response time. It is determined that using proposed technique the 95% power consumption is recorded with 85% improved efficiency in response time for mid-range infrared frequencies such as 200 GHz, 500 GHz, 90 GHz, 5 THz and 20 THz. The designed energy efficient optical transmitter can be assimilate with further optical components in optical communication systems to high performance and high range future generation networks.

In this paper, we focus on the need for enhance the adaptive capability of the voltage source converter (VSC) under unbalanced grid voltage conditions. A new direct power control (DPC) design strategy for VSC under unbalanced grid voltage conditions is proposed. Based on the analysis of power characteristics of a full rated converter, fluctuation mechanism on DC bus voltage of converter are studied, and the mathematic model of the grid side VSC under synchronous reference frame is built. To implement three different control target of constant DC bus voltage and power, or sinusoidal balanced line current, the proportional integral resonant (PIR) regulator is integrated with the traditional DPC to eliminate the ripple of the DC bus voltage and power. The proposed control strategy possesses such advantages without positive and negative sequence decomposition. Finally, the simulations works is developed to validate the proposed method. The simulation results show that the new DPC integrated with PIR can good elimination of the DC bus voltage ripples and power oscillation, enhance the ride through capability of the directly driven with permanent magnet synchronous generator system under unbalanced grid faults conditions, and can provide fast dynamic response.

In this paper, solar energy is a kind of clean energy for environment. Solar energy is rapidly gaining notoriety as an important means of expanding renewable energy resources. The solar servo control system designed for the vertical aquarium and solar tracking allows more energy to be produced because the solar array is able to remain aligned to the Sun. Hence it is the challenge for the present generation to generate maximum electricity by using solar power although many developments were made to collect the solar energy, but unable to utilize the maximum power released from sun. Hence solar tracking system has been implemented that plays a vital role in collecting the solar energy. The one axis solar tracking system produces sufficient energy for the vertical aquarium. The sun radiation falls on the photovoltaic cells and converts into the electrical energy. The main power generated from one axis solar system utilizes the Heat pump in the vertical aquarium. The efficiency of this system can be improved by the 5% to 10%.

The particular interest in Proton Exchange Membrane(PEM) fuel cell is based on the possibility to generate the clean and efficiency power. The safety and high operation issues of system are closely related to the control strategy used for fuel and oxidant supply. In PEM fuel cell the oxygen excess ratio expresses the proportion between oxygen supply and consumption and represents a decisive variable for the safety and normal performance. The main control object in this work is to maintain the oxygen excess ratio at the reference value which is obtained by simulation experiments. This work is focused on the design of the nonlinear generalized predictive control strategy manipulating the air flow rate in order to maintain the oxygen excess ratio. This proposed control strategy is based on GPC, and the sequence of control increments, input increment and output constraints solving is introduced to design proposed stair-like GPC method. The experiment results base on simulation platform of PEM FUEL CELL, is built in MATLAB environment, shows the better control effect comparing with fuzzy-PID switching method.

Aiming at some system of nonlinear, large delay, large inertia control problem, on the analysis of fuzzy control, the feedforward feedback control and PID control performance, this article proposes a fuzzy control in combination with feedforward feedback control method, to solve the shortcomings of conventional feedforward feedback methods. By using the fuzzy control to realize PID parameters adaptive adjustment online, combining with feedforward control and PID feedback control to eliminate the interference of the system, and the simulation is carried out in Matlab/Simulink environment. Simulation results verify the feasibility and effectiveness of this method, in the overshoot of the system and adjusting time and anti-jamming ability and multiple aspects have the advantage compared with the conventional feedforward and feedback approach, with satisfactory control effect.

Using variable speed engine in diesel generator will enhance efficiency of the engine where it will operate continuously at its optimum speed. The high cost of variable speed diesel generator because of using power electronic elements to convert variable frequency voltage to constant frequency voltage (AC/DC-DC/AC)cane be reduced if we use Hybrid System by connecting the PV system to DC Voltage bus directly and using it’s inverter as main inverter of the system studied in this paper is consisted of a Photovoltaic and a Variable Speed Diesel engine driving PMSG .By using FOC we can control the output power of PMSG according to the speed of the engine and vice versa .The change of climatic condition is the main problem of renewable energy specially when the engine–generator operate at it is minimum speed for that SMES which an high power density storage element is used for maintaining the stability of the stability of the system. The simulation of the system was done using Matlab/Simulink and the result of the simulation was discussed.

Life activity is closely related to the dynamic change of protein. Protein Phosphorylation is one of the most important proc GSVM-Based Proteochemometrics Modeling (PCM) for Prediction of Kinase-inhibitor Interaction within the protein modification after translation. It is found that more than 30% proteins can be phosphorylated. Abnormal protein kinases can lead to diverse diseases, such as cancers. Kinase inhibition is an effective method for disease treatment. However, some inhibitors are able to interact with several kinases that hidden but interesting kinase/inhibitor relationships may be included. Use of multi-targeted mining that select inhibitors act on a group of kinases increases the chance to achieve clinical antitumor activity. Proteochemometrics is a novel technology to predict inhibitor-kinase interactions from the chemical properties of kinase inhibitors which can help design more selective treatment and show better curative effect and low toxicity. This article uses a novel machine learning method called granular support vector machines (GSVM) to correlate the descriptors of kinase inhibitors and kinases to the interaction activities. GSVM develops on the basis of statistical learning theory and granular computing theory and thus provides an interesting new mechanism to address complex classification problems. Compared with other algorithms, GSVM gets better predictive abilities whose q2=0.89.

The simulation models of controller and inverter provided by micro-grid simulation software are separate ones. Fewer models develop in monotonous form and are complicated itself, physical meaning of each variable in the model is not clear. Simulation members are connected by a combination of series and parallel way, interaction between elements is not reflected or ignored, so the simulation results are distortion and less credibility which seriously hinder the application of Matlab/Simulink in micro-grid simulation. Considered various operating mode, used different coordinate transformation and the redefined voltage coordinates, an integrated simulation model of controller and inverter is designed which remove the influence of the electromagnetic coupling among the components. Simulation model is simplified so as to accelerate simulation speed. The model can be flexibly set in different operating modes and different modules in Matlab/Simulink which makes the operating mode of each micro-power be designed easier and more clearly. Results of micro-grid composed with integrated model can accurately reflect the variation of voltage, frequency, active power, reactive power etc. according to various disturbances in the various operating modes. Integrated model is demonstrated the effectiveness by results of the simulation ,which can also meet the requirements of micro-grid simulation

This paper gives an overview on the use of thermoelectric materials to generate electricity through the waste heat of the exhaust gases of a vehicle. Various thermoelectric modules will be attached to the end of the exhaust of the vehicle. The exhaust pipe will act as the hot end. Fins will be used to provide a cold end for the module. By using Seebeck effect of thermoelectricity, a voltage difference will be generated which will be used to charge batteries. The batteries will be automatically charged when the vehicle runs and then, that power, generated free of cost, can be utilized further.

Characteristics of pore structure have an important influence on the water flooding development. In order to improve the recovery rate, it is important to have a research on the relationship between pore structure and oil displacement efficiency. The permeability of the artificial cores in this experiment is 189×10-3μm2, 741×10-3μm2and 21417×10-3μm2. We used the CT technology method to scan the pore structure of the three cores, and did oil displacement experiment to research the effect of pore structure on the oil displacement efficiency. The result shows that the pore and throat common affect oil displacement efficiency: the bigger pore and throat radius is, the better effect of water flooding and polymer flooding is; the smaller pore and throat radius is, the worse effect of water flooding and polymer flooding is. The experiment has studied the influence of pore structure on oil displacement efficiency deep into microcosmic without damaging the core skeleton, improved the basis of oil recovery from the micro and the mechanism.

In this work, energy efficient ROM is being designed using Kintex 7 which is able to scale down the circuit to 28 nm. For Testing the ROM compatibility, ROM is operated on operating frequencies (10GHz, 15GHz, 20GHz, 25GHz ) .Whenever capacitance is scaled down from 15pf to 5pf, there is I/O power and total power reduction but it is observed that there is no reduction in Clock power, and a very small reduction in leakage power. FPGA is an Integrated Circuit that comprises of input/output buffer, programmable interconnect structure and an array of configurable logic blocks, which featurisms fast prototyping and consumer configurability which gives the advantage of short turnaround time( i.e. time required from start of process till a functional chip is obtained).10MBits of on chip Memory is being provided on Xilinx FPGA in 36Kbits blocks, which supports dual port operation. Stub Series Terminated Logic (SSTL) is an Input/output standard which is selected because it avoids the transmission lie reflection and overall power dissipation. The purpose of Voltage scaling is to reduce leakage power. When capacitance of output load is scaled from 50pF to 5pF, there are 32-37% saving in I/O Power, 0-0.1% Leakage Power saving, there will be a 1-5% saving in Total Power. This design is implemented on Kintex-7 FPGA using Xilinx ISE & Verilog. The technique of Frequency Scaling has been used to reduce the leakage power consumption within the range of 80% to 44.8%, consumption in total power in range of 45.8% to 21.36% and the reduction in Junction temperature range is from 3.5% to 1.6% for 10GHz frequency.

To explore the analytical solution of electromagnetic scattered field for hybrid impedance plane, we studied a whole-equivalent-source method, and got the analytical solution of scattered field for two-part hybrid impedance plane with arbitrarily polarized plane wave as incident field. According to the corresponding relationship in singularity between mathematics and physics, the diffracted field expression of the impedance boundary line was separated from the reflected field generated by uniform impedance surface, and the diffraction effects was divided into first-order, second-order, third-order and higher-order diffraction effects respectively. By numerical calculation, the amplitude of electric field x-component of scattered field was studied with respect to observation position.

Reducing energy consumption and improving the quality performance of products are the important goals in the precise forming field of gear. Because of the requirement of precision, the traditional gear forging technology needs to be improved. Compared with traditional gear forging technology, the radial rotary forging technique can change the loading mode. Namely, the integral loading method replaces the local loading method. The forming load can be significantly reduced and the strength of the gear can be improved. During the deformation process, the flowing of material turns to be uniform. Therefore, the quality of gear produced by radial rotary forging is significantly improved. In a word, the radial rotary forging could provide a scientific basis for the research of high performance gear with a high efficiency and low consumption.

The renewable energy sources penetration has increased nowadays. Numerous techniques are developed for grid connected photovoltaic system for intensive penetration of photovoltaic (PV) production into the grid from various research papers. Several researches have been carried out in the field of PV design, but few work for grid connected multi-junction solar cell. Cascaded multilevel inverter provides many advantages over conventional inverters to improve the overall efficiency and reduce harmonics with the grid integration of renewable energy sources. The paper proposes a design of multi-junction photovoltaic solar cell with maximum power point tracking and a novel topology of cascaded multilevel inverters to improve power quality delivered to grid in terms of harmonics, by minimizing total harmonic distortion of microgrid (MJSC) interface. A model was developed and the system was tested for performance. The results found were encouraging as compared to the traditional methods. MATLAB/Simulink platform is used to model and simulate the entire system.

Finite element analysis is the most common and effective design and research method used in nuclear power valve products. Due to the high security, shape complexity of valve cavity and the nonlinear of joint surface at sealing position, it is important to establish the finite element model quickly and accurately that could meet engineering accuracy and calculation condition that need urgently solved. In order to master the performances and rules in modeling process, the finite element analysis modeling common method for assembly and key components facing the safety performances analysis for nuclear power valve is deeply studied. On this basis, a new method on simplifying FEA model efficiently is proposed. The integrated platform could be constructed combined with the modeling method, the simplified model and the analysis process reuse method, which integrates design, simulation, and optimization of nuclear power valves together supporting heterogeneous model transfer. The validity of the analysis method above is verified by the valve strength and sealing tests, which is of certain guiding significance for other class of nuclear power valves.

In this paper, optimization of new car engine lubrication system was discussed in our study. It boncluded key analysis of noise pump energy, optimal control strategy of the pump, optimal allocation of real-time detection and sensor pump working parameters. Fuel consumption and operating noise relationship model was built for energy saving and noise reduction as well as energy-saving pump optimization model, which was proposed for solving an effective energy-saving optimization model. Disscussion formed a more perfect pump optimization and energy saving noise control method for automotive engine energy saving. In our study, low-power car motor lubrication system consisted of energy noise vane pump was studied. Advanced optimization control theory was used in automotive motor lubrication system, the study of new energy-saving car pump noise optimal control strategy and oil pump working parameters achieved real-time detection and sensor optimized configuration. We built oil fuel with operating noise and working parameters of the relational model for energy-saving and noise reduction, it proposed an energy smart kinds of effective optimization model for forming a more perfect energy-optimized pump control system.

Coupling strength represents the interaction intensity between individuals, which is likely to affect both the convergence and stability properties of multi-agent system. In this paper, a coupling strength based approach is proposed to study the internal interaction mechanisms of multi-agent system. Inspired by the interaction behaviors of biological flocks, three factors, including position, velocity and number of neighbors, are first proposed to generate its relationship with interaction intensity. Then, coupling strength is analytically constructed by synthesizing these factors. Finally, two different cases, with both fixed and varying coupling strength, are simulated to illustrate the effectiveness of the proposed coupling strength in flocking control applications. Moreover, the effects of each factor on flocking are extensively studied.

The focus of this research article is to model and analyze optimal controllers for a two level, pulse width modulated, grid connected inverter using Matlab. The Proportional Resonant controller and Linear Quadratic Regulator are being investigated. The controllers are designed such that their performance is satisfactory. The simulation results are presented to illustrate the performance of the designed controllers under different grid conditions.

According to the control requirements of miniature precise cutting machine, this paper designs the control system of this cutting machine by the method of combing OMRON CP1H PLC and Eview MT506L touch panel. The control system uses PLC as its core, has completed in receiving the limiting I/O signal and upper computer communication signal and deals with the centralized processing according to the PLC interior design procedure and finally has realized the logic control of a frequency converter and three stepper motors. The touch panel is used for the man-machine intercommunication interface, completes the function of operation and display, and realizes the intellectualization and humanization of the cutting process. The experimental results show that the system is novel in design and has a friendly operation interface and advanced technology, can realize the high precision cutting of the workpiece.

In order to overcome the disadvantage that single-degree-of-freedom PID controller cannot integrate the optimal target tracking performance and anti-interference function, this article puts forward a design of two-degree-of-freedom IMC-PID controller for the time-delay control system according to the Internal Model Control (IMC) principle. It also puts forward a parameter setting method for the two-degree-of-freedom controller based on the maximum sensitivity. First of all, it deduces the relationship between one of the filter parameters with the maximum sensitivity, and determine this parameter according to the maximum sensitivity index, which gives the system strong robustness; then it revises another filter parameter according to the dynamic performance of the system, which gives the system a strong target tracking characteristic. Meanwhile, it conducts the robust stability analysis on the process model mismatch condition, and obtains the conditions for system stability. According to the simulation results, the time-delay control system which is designed based on two-degree-of-freedom IMC-PID controller has good target tracking characteristic, anti-interference performance and robustness, which proves that the parameter setting method which is based on the maximum sensitivity is effective. The negative impact of time delay on the system can be effectively overcome by using the method put forward here.

Through the analysis of the mathematical model of multi induction motor synchronous drive system, a new control method based on neural network is proposed and applied into the system.The neural network controller is composed of self-tuning PID controller based on diagonal recurrent neural network (DRNN) and neuron decoupling compensator. The three self-tuning PID controllers are used in the speed and tension control loops respectively, making the system possess stronger adaptive capability and robustness. The neuron decoupling compensator integrates the effect of the three loops and realizes the adaptive decoupling control between speed and tension by training the weights of network to compensate the coupling relation. The experiment results show that, compared with traditional PID control, the control system can obtain optimal parameters according to online identification of the DRNN network, realizing the better decoupling control of speed and tension, and the system has better dynamic, static characteristics and robustness.

In this paper the identified stochastic model for Twin Rotor MIMO system (TRMS) is used for designing Kalman observer and H infinity observer. The performance of Kalman observer and H infinity observer designed for Twin Rotor MIMO System are compared. In this case the process noise and measurement noise getting impact on the system is assumed to be worst case noise with unknown statistics. The H infinity observer results in better performance than the Kalman observer for TRMS under worst case noise impact on the uncertain system.

In this paper, a novel fault-tolerant control scheme is proposed for a class of uncertain switched systems with time-delay. The mathematical model of actuator which fault is established. Our attention is focused on the design of a sliding mode fault-tolerant controller, which guarantees the system to be asymptotically stable and has a H∞ disturbance attenuation performance in the case of actuator failure. Sufficient conditions for the existence of a desired sliding mode controller are established in terms of linear matrix inequalities (LMIs), and the corresponding sliding mode controller is designed. Simulation results verify the validity and feasibility of the proposed fault-tolerant control strategy.

Reliability is an essential factor for GPS navigation system. Therefore, an integrity monitoring is considered one of the most important parts for a navigation system. GPS receiver autonomous integrity monitoring (RAIM) technique can detect and isolate fault satellite. Based on particle filter, a novel RAIM method was proposed to detect two-satellite faults of the GPS signal by using hierarchical particle filter based probability test. The particle filter is popular filtering methods to estimate states of a general dynamic system. It can deal with any system nonlinear and any noise distributions. Because GNSS measurement noise does not follow the Gaussian distribution perfectly, the particle filter can estimate the posterior distribution more accurately. In order to detect fault, the consistency test statistics is established through cumulative log-likelihood ratio (LLR) between the main and auxiliary particle filters (PFs).Specifically, an approach combining PF with the hierarchical filter is used in the process of two-satellite faults. Through GPS real measurement and the application of the RAIM method, the performance of the proposed GPS two-satellite faults detection algorithm was illustrated. Some simulation and experiment results are given to evaluate integrity monitoring performance of the algorithm. Validated by the real experimental data, the results show that the proposed algorithm can successfully detect and isolate the faulty satellite in the case of non-Gaussian measurement noise.

Voltage source converter based high voltage direct current (VSC-HVDC) system technique has been widely applied in the field of power transmission, system control strategy of VSC-HVDC system based on active disturbance rejection control (ADRC) is proposed aiming at low stability precision and weak anti-jamming capability issues of traditional PI control. The structure diagram of system control is designed according to mathematical model of VSC-HVDC system built, of which ADRC strategy is adopted in sending system and receiving system. The external loop of sending system adopts Fal function control and inner loop adopts PI control; the external loop of receiving system adopts DC voltage control and inner loop adopts current and reactive power control. At last, simulation experiment is conducted on controller designed through Matlab/Simulink, experimental results show that ADRC based controller, which has a better control performance, reaches stable state before 0.2~0.3 second compared with traditional controller.

In this paper, we propose to prevent compressor surge and control rotating speed for UAV turbojet engine. Turbojet engine controller is designed by applying PID control algorithm and it was applied to the linearized turbojet engine model. To prevent any surge or a flame out event during the engine acceleration or deceleration, the PID controller effectively controls the fuel flow input of the control system. PID results are used as the fuel flow control inputs to prevent compressor surge and flame-out for turbojet engine and the controller is designed to converge to the desired speed quickly and safely. Using LabVIEW to perform computer simulations verified the performance of the proposed controller. The simulation result using the designed PID controller verified that quickly converge to the desired speed and properly control fuel flow rate while preventing the surge and flame out event.