【摘要】 针对逆系统方法中非线性逆模型辨识困难的问题,研究了基于支持向量机(SVM)的逆模型辨识及控制,提出了一种SVM逆模型与PID结合的复合控制系统.由SVM辨识非线性系统的逆模型作为前馈控制器,形成直接逆控制.同时,由PID控制器构成反馈控制,克服直接逆控制鲁棒性不强的缺陷.仿真研究表明,SVM的逆模型辨识能力强,该复合控制系统具有比直接逆控制更优的控制性能和鲁棒性.更多还原

【Abstract】 With in mind the inverse model identification problems in inverse system method,this paper studied the realization of inverse system identification and control using support vector machines(SVM),and proposed a compound control strategy combing SVM inverse system with PID controller.SVM were used to identify the inverse model of nonlinear system,and this inverse model was used as feed-forward controller to design direct inverse control.Moreover,PID controller was used to realize feed-back control,which could overcome the limits of direct inverse control in performance and robustness.Simulations demonstrated that SVM had a good approximate capability for inverse model,and the proposed compound control system had a good dynamic and static state performance as well as good robustness.更多还原