Earticle

초록

영어

This paper presents the application of genetic algorithms to find the optimum feedback gains in pole placement with integral control to get the desired performance in control system. Performances are measured in terms of key parameters like settling time, peak overshoot, undershoot, rise time etc in control system. The major drawbacks of pole placement technique are to get optimum location of poles and we cannot place zeros at desired locations. Dominating concept of poles is enough for placing poles for systems which transfer functions are without zeros. But if there are zeros in transfer function then it is not enough to place pole with dominating pole concept because presence of zero can destroy the dynamic response of control system. In this paper genetic algorithm is used to find the optimum locations of poles to get the desired response and compensate the effect of zeros on transient in case zeros are present in transfer function. GA is a population based algorithm to find the global solution of a problem. This paper compares the unit step response of a plant with presence of zero in transfer function. The same GA based technique is used for finding optimum location of poles to get the desired response for magnetic levitation system. This analysis is well supported by the simulation and experimental results done using MATLAB and Simulink.

목차

Abstract
 1. Introduction
 2. Pole Placement Controlling Using Integrator
 3. Genetic Algorithm
 4. Simulation and Results
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Abhishek Pratap Singh [ Electrical Engineering Department Madhav Institute of Technology and Science Gwalior, India ]
• Ashish Patra [ Electrical Engineering Department Madhav Institute of Technology and Science Gwalior, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605