A design method of type-1 servo systems by multiobjective fuzzy satisficing approach using genetic algorithms

被引：0

作者：

Kiyota, Takanori ^{[1
]}

Tsuji, Yasutaka ^{[1
]}

Noda, Masashi ^{[1
]}

Kondo, Eiji ^{[1
]}

机构：

[1] Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu-shi, Fukuoka, 808-0135

来源：

Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C | 2004年 / 70卷 / 08期

关键词：

Fuzzy Set Theory; Genetic Algorithm; LQI Servo System; Multiobjective Optimization; Optimal Control; Transient Response; Virtual Command Signal;

D O I：

10.1299/kikaic.70.2392

中图分类号：

学科分类号：

摘要：

This paper discusses a control system design with various specifications in both the time-domain and the frequency-domain. First, a control system design is formulated as a multiobjective optimization problem, and it is transformed a fuzzy satisficing problem by introducing aspiration levels and unsatisfying functions. It is solved by a Genetic Algorithm (GA) interactively. Then, the proposed method is applied to the design of the two-degree-of-freedom LQI servo system with the virtual command signal. The effectiveness of the proposed method is demonstrated by a numerical example, which has an undesirable undershoot.

引用

页码：2392 / 2398

页数：6

共 13 条

[1]

Goldberg D.E., Genetic Algorithms in Search, Optimization and Machine Learning, (1989)

[2]

Man K.F., Tang K.S., Kwong S., Genetic Algorithms, (1999)

[3]

Jamshidi M., Coelho L.S., Krohling R.A., Fleming P.J., Robust Control Systems with Genetic Algorithms, (2003)

[4]

Kristinson K., Dumont G.A., System identification and control using genetic algorithms, IEEE Trans. on Systems, Man, and Cybernetics, 22, 5, pp. 1033-1046, (1992)

[5]

Kundu S., Kawata S., Genetic algorithms for optimal feedback control design, Engineering Applications of Artificial Intelligence, 9, 4, pp. 403-411, (1996)

[6]

Trebi-Ollennu A., White B.A., Multiobjective fuzzy genetic algorithm optimisation approach to nonlinear control system design, IEE Proc. Control Theory and Application, 44, 2, pp. 137-142, (1997)

[7]

Chen B., Cheng Y., A structure-specified H<sup>∞</sup> optimal control design for practical applications: A genetic approach, IEEE Trans. on Control Systems Technology, 6, 6, pp. 707-718, (1998)

[8]

Griffin I.A., Schroder P., Chipperfield A.J., Flemming P.J., Multi-objective optimizaion approach to the alstom gasifier problem, Proc. of the Institution of Mechanical Engineers, Part I, J. of Systems and Control Engineering, 214, pp. 453-468, (2000)

[9]

Krohling R.A., Rey J.P., Design of optimal disturbance rejection PID controllers using genetic algorithms, IEEE Trans. on Evolutionary Computation, 5, 1, pp. 78-82, (2001)

[10]

Kiyota T., Kondo E., Iwamoto S., Okada N., Optimal controls of SISO type-1 digital servo systems using virtual command signals, Proc. of 38th IEEE Conf. on Decision and Control, 4, pp. 3920-3925, (1999)

← 1 2 →