单神经元自适应PID控制器的实现与仿真研究

Realization and simulation study of single neuron self-adaptive PID controller

给出了单神经元自适应PID控制器的算法与控制系统仿真模型。利用单神经元PID控制器的自学习、自适应能力实现PID控制参数的自整定。并对被控对象进行了仿真研究,仿真结果表明,该控制方法与常规PID控制方法相比,具有更好的自适应性和更强的鲁棒性。

The control algorithm and simulation model of single neuron self-adaptive PID are. set forth. Self learning and self-adaptive ability of Single Neuron PID Controller can realize its parameters adjust by self. These results from simulation researches show that the controlling method is more self-adaptive and robust than conventional PID one.