摘要
介绍了传统平均电流控制型APFC变换器的结构,对其控制原理分析后,提出了一种新的控制方法。APFC变换器本身是一个非线性、周期时变的动态系统,采用传统的PID控制难以达到令人满意的效果,单神经元PID控制可以利用其非线性、变结构、自适应等优点来提高APFC系统的动态响应和抗扰能力。通过Matlab/Simulink仿真结果表明,由神经网络控制的变换器,在一定程度上解决了传统PID控制器难于在线实时整定参数、对时变系统进行有效控制的不足,证明了设计的可行性。
The structure of traditional average current controlled active power factor correction （ APFC ） converter is introduced, with the analysis of its control theory, a new control strategy is proposed. APFC converter is a non-linear, periodic time-varying dynamic system, using the traditional PID controller difficult to achieve satisfactory results. Single neuron PID controller can take advantage of its characteristic of nonlinear, variable structure; adjust adaptively to improve dynamic response and robustness of APFC system. Through the Matlab / Simulink simulation results show that the converter controlled by the neural network, to a certain extent, can solve the traditional PID controller which is difficult in real-time adjusting the parameters, the insufficient control of time-varying system, the experimental results confirm the validity of the design.
出处
《电气自动化》
2012年第5期23-25,共3页
Electrical Automation
