A Method of Parameters Selecting in Robust Control Based on PSO Algorithm

Abstract:

Aiming at a kind of uncertainties of models in complex industry processes, a novel method for selecting robust parameters is stated in the paper. Based on the analysis, parameters selecting for robust control is reduced to be an object optimization problem, and the particle swarm optimization (PSO) is used for solving the problem, and the corresponding robust parameters are obtained. Simulation results show that the robust parameters designed by this method have good robustness and satisfactory performance.

• Periodical: Advanced Materials Research (Volume 320)
• Pages: 574-579
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.320.574
• Online since: August 2011
• Authors: Hua Li, Zhi Cheng Xu, Shu Qing Wang
• Keywords: LQR, Particle Swarm Optimization Algorithm (PSO), Robust Control

References

[1] F. Lin. An optimal control approach to robust control design[J]. International Journal of Control, 2000, 73(3): 177-186.

[2] Eberhart R., Shi Y. Particle Swarm Optimization, developments, applications and resources[A]. Proceedings of the IEEE Congress on Evolutionary Computation[C]. Piscataway: IEEE Press, 2001. 81-86.

DOI: 10.1109/cec.2001.934374

[3] Shi Yuhui, Eberhart R. A modified particle swarm optimizer[A]. Proceedings of IEEE International Conference on Evolutionary Computation[C]. Anchorage: IEEE Press, 1998. 69-73.

DOI: 10.1109/icec.1998.699146

[4] Eberhart R, Kennedy J. A new optimizer using particle swarm theory[A]. Proceedings of the 6th International Symposium on Micro Machine and Human Science[C]. Nagoya: IEEE Press, 1995. 39-43.

DOI: 10.1109/mhs.1995.494215

[5] Shi Yuhui, Eberhart R. Parameter selection in particle swarm optimization[A]. Proceedings of the 7th Annual Conference On Evolutionary Programming[C]. Washington: IEEE Press, 1998. 591-600.

DOI: 10.1007/bfb0040810

[6] Shi Yuhui, Eberhart R. Empirical study of particle swarm optimization[A]. Proceedings of the Congress on Evolutionary Computation[C], Washington: IEEE Press, 1998. 1945-(1950).

DOI: 10.1109/cec.2001.934377

[7] Xie Xiaofeng, Zhang Wenjun, Yang Zhilian. Overview of particle swarm optimization[J]. Control and Decision, Shenyang, 2003, 18(2): 129-134.

[8] Millonas M M. Swarms Phase Transition and Collective Intelligence[M]. MA: Addison Wesley, (1994).

[9] Kennedy J, Eberhart R, Shi Yuhui. Swarm intelligence[M]. San Francisco: Morgan Kaufmann, (2001).

[10] Shi Yuhui, Krohling R K. Co-evolutionary particle swarm optimization[A]. Proceedings of the 2002 Congress on Evolutionary Computation[C]. Hawai: IEEE Press, 2002. 1682 -1687.

DOI: 10.1109/cec.2002.1004495

[11] N. B. Almutairi. Adaptive fuzzy modulation for networked PI control System. USA: North Carolina State University, (2002).