摘要
将神经元与模糊控制器相结合 ,利用自适应神经元 (APE)预测输出信号yp(t +1)与目标值R比较后 ,生成误差预测值ep(t +1) ,即预测超调量的负补偿量 ,补偿模糊控制器输出的控制信号ec,减小超调量 .在此基础上设计了基于预测补偿的人工智能控制器 。
By combining neuron with fuzzy controller, and using the adaptive neuron to predict outcoming signal y\-p(t+1), and compared it with the target value R, then the error of predicting value e\-p(t+1) is generated, i.e. predicting the negative compensation of overshoot, compensating control signal e\-c which is generated from fuzzy cntroller so as to reduce the overshoot. On this basis, an artificial intelligent controller based on predictive compensation is designed so as to reach the aim of overcoming contradiction of stability and responsiveness of the control system.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2001年第5期64-68,共5页
Engineering Journal of Wuhan University
