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基于神经网络补偿的二自由度PID控制
Two-degree-of-freedom PID control based on neural network compensation
【摘要】 提出一种基于神经网络补偿的二自由度PID控制方法。该方法将BP网络应用到传统二自由度PID控制中,克服了参数固定不变时,系统跟随性能和抗扰性能变差的缺点,有效地减弱了参数摄动对系统造成的影响,改善了系统的动态品质。仿真结果表明该方法的有效性。
【Abstract】 The parameters of the traditional regulator are fixed as it was designed, and couldn’t vary with the control objects. In this paper, a BP network is introduced into the traditional two-degree-of-freedom PID control system. The new method reduces the effect of parameter variations and improves the dynamic characterisitcs greatly. Simulation results show the validity of the new method.
【基金】 山西省自然科学基金资助项目(20001038)
- 【文献出处】 电机与控制学报 ,Electric Machines and Control , 编辑部邮箱 ,2002年04期
- 【分类号】TP183
- 【被引频次】12
- 【下载频次】170