1. Genetic algorithm optimized finite frequency H∞ time-delay control with the objective to maximize the allowable external disturbance energy
- Author
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Jian Zhang, Wang Xingye, Zhang Jinqiu, Peng Zhizhao, and Guoqiang Li
- Subjects
Output feedback ,0209 industrial biotechnology ,Disturbance (geology) ,Computer science ,Electromagnetic actuator ,Mechanical Engineering ,media_common.quotation_subject ,Control (management) ,020302 automobile design & engineering ,02 engineering and technology ,Inertia ,Rack and pinion ,020901 industrial engineering & automation ,0203 mechanical engineering ,Control and Systems Engineering ,Control theory ,Genetic algorithm ,Energy (signal processing) ,media_common - Abstract
In order to alleviate the deterioration on control effect caused by the inertia mass and the time-delay of a rack and pinion electromagnetic actuator, a finite frequency dynamic output feedback H∞ time-delay control strategy is proposed in this article. Currently, a H∞ controller is generally designed with the objective to minimize the infinite norm of the transfer function from the external disturbance to the control output, and the values of the slack coefficients are obtained according to the experience. But when used in practical, problems are found that only small external disturbance energy and narrow scope of driving conditions are allowed and it is difficult to find the optimal solution just according to the experience. In allusion to these problems, a H∞ controller design method with the objective to maximize the allowable external disturbance energy is proposed, and genetic algorithm is used to optimize the values of the slack coefficients. Finally, bench tests are carried forward to verify the control effects of the two controllers. The tests results show that, the controller designed with the objective to maximize the allowable external disturbance energy can adapt to more severe driving conditions, and it is more significant in actual application on vehicles.
- Published
- 2019