基于BP神经网络的分数阶PIαDβ控制器参数整定研究

Research on Fractional Order PI~αD~β Controller Tuning based on BP Neural Network

对于分数阶控制系统,因分数阶控制器较传统PID控制器具有更好的适应性,这就为得到更加细腻的控制品质提供了可能。然而,分数阶PIαDβ控制器的参数整定则相对复杂。针对这一问题,提出了基于BP神经网络的分数阶控制器参数整定方法,有效地克服了分数阶控制器参数整定复杂问题。采用文章所提方法,分别设计了整数阶PID、分数阶PIαDβ控制器,并进行仿真对比。结果表明,采用分数阶PIαDβ控制器的系统控制品质优于整数阶PID控制器。

Fractional order PIαDβcontroller is more flexible and offers opportunity to obtain better control quality of a fractional order control system than the traditional PID controller.However,the parameters tuning of fractional order controller is more complex.Aming at the problem,a method of fractional order PIαDβcontroller tuning based on BP neural network is presented,which efficiently overcome the complexity of fractional order controller tuning.A fractional order PIαDβcontroller and an integer order PID controller are tuned respectively by using the proposed method.Results show that fractional order PIαDβcontroller can get better performance than integer order PID controller.