Study and Application of NNPID Control Strategy Using Immune Theory
The paper present the compensating principle of the three-phase series active power filter, set up the transfer function and the block diagram of the exiting open loop control strategy for VSIs. Then, the paper discuss the basic principle of biological immune system and build the analytic model of the feedback regulating mechanism of immune system and recommend a nonlinear self-tuning neural network PID controller using immune feedback mechanism, which is designed by combining the immune feedback law with the neural network PID control strategy for speeding up the convergence behavior during neural network training. The paper apply the new controller to the SAPF for deep improving the controlling result of the series active power filter. Computer simulation results show that the proposed self-tuning control strategy in SAPF is effective in compensating the voltage disturbance and in tracking a normal sinusoidal reference signal. The new NNPID control strategy using the immune law has many better performances and features than other conventional controllers viewed from the engineering standpoint.
Jun Li CuiMei Bo JinGuo Lin Wei Gu
College of Automation NanJing University of Technology NanJing, JiangSu 210009,P.R. China School of Electrical Engineering Southeast University NanJing, JiangSu 210096,P.R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）