神经元自适应PID控制

Adaptive PID Control Based on Nerve Cell

在神经非模型控制的基础上,结合PID控制的优点,提出了神经非模型自适应PID控制方法,确定了神经元网络的输入信号,并设计出自适应系数的在线修正算法.结合实例,给出了该控制器三个初始权系数的设定方法.仿真结果表明,该控制器不仅算法非常简单,而且适应性和鲁棒性很强,控制系统具有良好的动态性能和稳态性能.

On the basis of neural nonmodel control, combining with PID control's advantages, this paper puts forward the adaptive PID control method of neural nonmodel and presents the formula of input signals for nerve cell and designs online correction arithmetic. By a solid example, the paper gives an adjustment way for controller's three original power coefficients. Simulation results indicate that the controller's arithmetic is not only very simple, but its adaptability and robust are very strong and the control system possess good dynamic and steady performance.