| The modern control theory has still had great difference to the practice, and one of its reasons is that it has too strong dependence on the match model of the controlled object and it needs too rigorous supposed-conditions that it is not fit for practical application. Therefore, the development of control theory is changing its core to the intelligent controller. And in the field of intelligence control, fuzzy control is just outstanding.On the other hand, the auto-control system traditionally applies PID control technique because it is reliable, stable and its structure is simple, but it often can not overcomes efficiently the effects of great change of loads and model parameters and nonlinear factors, thus it can not meet the demands on the occasion of high performance and accuracy.Therefore, the paper applies directly fuzzy controller to servo system control. In detail, this paper introduces the study of servo system based on fuzzy-complex controller of parameter self-adjusting. The fundamental principles and design rules of fuzzy control are described. In order to enhance performance and intelligent level of servo system, a complex link is added to the fuzzy controller in this paper and some principles on regulating the quantitative factors Ke, Kc and the proportional factor Ku are given by many experiments. This study consists of two sections: The first one is that control qualities and robustness in the application of the simple fuzzy controller, the fuzzy controller of parameter self-adjusting and the fuzzy-complex controller of parameter self-adjusting to the servo system are studied by simulation and the second one is the study of the actual servo system. Many experiment results show that all performance indexes of the fuzzy-complex controller of parameter self-adjusting are in advance of those of the simple fuzzy controller and the fuzzy controller of parameter self-adjusting. Especially, the fuzzy-complex controller of parameter self-adjusting is robust. |
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