摘要
研究了一种基于模糊推理参数自整定PID控制器系统。根据反馈信号,模糊推理不断整定PID三个调节参数,起到缩短响应时间和保持良好超调量的作用。最后将该控制器应用于X光机灯丝电源中。结果表明,该控制器具有良好的稳态精度以及响应时间短、超调量小且具有较强的跟踪能力等特点。通过与增量式PID控制器和单神经元PID自适应控制器比较,证明了该方法的优越性;最后将其应用于灯丝电源仿真电路中,验证了该方法的合理性和有效性。
A self-tuning PID controller system based on the fuzzy inference parameters is studied in this paper. In order to shorten the response time and maintain good overshoot, the fuzzy inference continuously tunes the three adjustable parameters of the PID controller according to the feedback signal. Finally, this controller is applied to the power supply of the X-ray machine's filament. The results show that the controller has high steady-state accuracy, short response time, small overshoot and strong tracking capability, and prove the superiority of this method by comparing with the incremental PID controller and the single neuron PID adaptive controller. The rationality and effectiveness of the method are therefore verified when it is applied to the filament power supply simulation circuit.
出处
《UPS应用》
2012年第7期25-31,共7页
UPS Applications
关键词
模糊控制
遗忘因子
最小二乘法
fuzzy control
forgetting factor
least squares method