论文信息 - Evolutionary Hinfin; design of an electromagnetic suspension control system for a maglev vehicle

Evolutionary Hinfin; design of an electromagnetic suspension control system for a maglev vehicle

Abstract A multiobjective evolutionary algorithm approach is proposed for the H∞ design of an electromagnetic suspension (EMS) control system for a maglev vehicle. The evolutionary algorithm is used in conjunction with an H∞ loop-shaping design procedure to perform multiobjective search over a set of possible weighting function structures and parameter values in order to satisfy a number of conflicting design criteria. It is demonstrated that the proposed approach offers a number of potential benefits over other ‘mixed optimization’ techniques by allowing the control engineer to select from a number of satisfactory design solutions of differing complexity.

[1] Ian Postlethwaite,et al. Robust controller design using H∞ loop-shaping and the method of inequalities , 1994, IEEE Trans. Control. Syst. Technol..

[2] Ian Postlethwaite,et al. Robust control of an unknown plant : the IFAC 93 benchmark , 1995 .

[3] V. Zakian. A performance criterion , 1986 .

[4] A. Utzt,et al. Control Law Design and Dynamic Evaluations for a MAGLEV Vehicle with a Combined Lift and Guidance Suspension System , 1983, 1983 American Control Conference.

[5] Peter J. Fleming,et al. An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.

[6] K. Glover,et al. Robust stabilization of normalized coprime factor plant descriptions with H/sub infinity /-bounded uncertainty , 1989 .

[7] V. Zakian. Critical systems and tolerable inputs , 1989 .

[8] Ian Postlethwaite,et al. Robust control of the benchmark problem using H∞ methods and numerical optimization techniques , 1994, Autom..

[9] Heinz Mühlenbein,et al. Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization , 1993, Evolutionary Computation.