Earticle

In this paper, an online receding robust predictive control scheme is proposed for input-constrained semi-trailer system with delay and disturbance. The controller method meets the requirements of control constraint and, based on dual-mode control, the method is obtained by online optimization of performance index. The performance index is the cumulative sum of quadratic weighted value of minimal states. Controller output is calculated by means of linear matrix inequality (LMI), and the controller itself can ensure the asymptotic stability and disturbance attenuation of semi-trailer closed-loop system. Finally, simulation results confirm the effectiveness of the method.

This paper proposes non dominated sorting genetic algorithm (NSGA-II) with a feature of adaptive crowding distance for obtaining optimal location and sizing of Static Var Compensators (SVC) to minimize real power losses (RPL) and load bus voltage deviation (VD) considering critical contingencies. The voltage security of the power system is also analyzed for all placements of SVCs at respective location computed. Finally, after compression of optimal power loss, load bus voltage deviation along with voltage security following by simulation of critical contingency the most appropriate location and sizing of SVC is determined. While obtaining the optimal location and sizing of SVC, single line outages are considered as contingencies and voltage limits for the load buses are considered as security constraints. The effectiveness of proposed approach has been demonstrated on IEEE 30-bus test system. The results obtained for proposed algorithm are optimistic and reveal the capability of the NSGA-II to generate well-distributed non-dominated Pareto front.

Traffic system, in general, like ruralized/urbanized area expansion traffic or pedestrian signals, and footslogging crowds consist of many autonomous, intelligent entities, which are distributed over a large area and interact with each other to achieve certain goals. However, these entities many represent completely different things, like traffic lights, trucks or even road users. According to these entities, we aim at giving insight into the concept of adaptive vehicular agents. Additionally, different applications of multi-agent system to the traffic domain are presented. Furthermore, we propose to traffic flow models which describe driver’s behavior not only on a reactive but also on a cognitive level.

Based on the dangers of suspended oil mist microparticles from machining to the environment and health of worker. A theoretical analysis on the generation mechanism of cutting fluid oil mist and an experimental study on its influencing factors were carried out in this paper. The experiment was conducted in closed lathe with flood cutting fluid feed system. A droplet diameter measuring system was equipped in the dense region of oil mist, which enables to observe the droplet distribution in air and scan the morphology of a single droplet accurately through its confocal microscopy. Droplet distribution and diameter were calculated through computer. In the experiment, effects of influencing factors on the oil mist concentration and average droplet diameter were discussed by controlling the revolutions per minute (rpm) of the main axis and cutting fluid flow, respectively. Experimental results demonstrated a significant effect of rpm on the characteristics of cutting fluid oil mist. As the rpm increased, the average droplet diameter decreased, whereas the oil mist concentration increased. As the cutting fluid flow increased, both of average droplet diameter and oil mist concentration increased.

In this paper, we do research on a new compact storage system which is an extension of conventional automated storage and retrieval system (AS/RS). The new system consists of the S/R machine which travels simultaneously in the horizontal and vertical dimension. At the same time, there is a conveyor system which is in charge of motion of depth dimension which means there are several storage cells near the aisle. With consideration of operating characteristic, a new travel time model is formulated for the single command cycle. In order to analyze performance and optimal rack dimension, we present the minimum expected travel time and optimal rack dimension. In the end, we verify the travel time model and optimal rack dimension design by a practical example.

This paper presents the design of a sliding mode control of a buck converter using the artificial intelligence techniques. According to the advantages of the averaging model derived from the generalized state-space averaging method, it was used as the objective function for the searching process. The results from the simulation and the experiment show that the controllers designed from the proposed method can provide the best output response compared with those designed from the conventional method. The co-operation between the artificial intelligence algorithm and the averaging model is suitable to design the controller of power converters with a good performance.

Signal transmission analysis is investigated for a burn-in socket of fine-pitch ball grid array (FBGA) package using a three-dimensional electromagnetic field simulation. The effects of different signal-ground pin assignments on its signal transmission characteristics are analyzed in this work. Also, its electric and magnetic fields are presented to evaluated their distribution intensity around the signal and ground pins. Its reflection and insertion losses are calculated to analyze the effects of the increase in the contact length. For a burn-in socket with a contact length of 3 mm, the 1-dB the insertion loss frequency is calculated to be 38 GHz. The calculation results for insertion loss and reflection loss show that the frequency characteristics of the burn-in socket are excellent, and that the burn-in socket is suitable for high-speed applications.