Affiliation:
1. Islamic Azad University
2. K.N.T. University of Technology
Abstract
In this paper, considering some important indices such as closed-loop pole locations, speed of response and combining them into an objective function an optimization problem is defined in order to select the weighting matrices in Linear Quadratic Regulator (LQR) controller. To solve this optimization problem the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are utilized and compared. The proposed method is applied to rotational inverted pendulum. Simulation results show the relative superiority of PSO over GA.
Publisher
Trans Tech Publications, Ltd.
Reference16 articles.
1. F. L. Lewis and V. L. Syrmos, Optimal Control, 2nd Edition, John Wiley & Sons, Inc., (1995).
2. G. P. Liu and R. J. Patton, Eigenstructure Assignment for Control System Design, John Wiley & Sons, Inc., (1998).
3. J. W. Choi and Y. B. Seo, Control design methodology using EALQR, in Proceedings of the IEEE 37th SICE Annual Conference, (1998).
4. J. V. da Fonseca Neto and C. P. Bottura, Parallel Genetic Algorithm Fitness Function Team for Eigenstructure Assignmentvia LQR Designs, in Proceedings of IEEE Congress on Evolutionary Computation, (1999).
5. C. P. Bottura and J. V. da Fonseca Neto, Parallel Eigenstructure Assignment via LQR Design and Genetic Algorithms, in Proceedings of the American Control Conference, San Diego, California, (1999).
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献