云调节增益自适应单神经元PID的应用

提出了一种单神经元自适应PID控制器,并给出了控制结构模型。首先探讨了单神经元自适应PID控制学习算法,进而通过分析单神经元PID控制算法与系统动态响应及超调量的关系,利用云模型控制器修改神经元控制器的比例系数K,并根据系统误差在线实时修改控制系数,提高了系统响应性能。仿真结果表明,增益自适应单神经元PID控制器是一种具有自学习、自适应、鲁棒性强的控制器。

A single neuron PID controller based on cloud control

A single neural and adaptive PID controller is presented and its controller model is given.After discussing the algorithm of the single neuron PID,and analyzing the relationship between single neuron PID and its system responding,a new kind of single neuron PID controller is explored by selecting the proportion coefficient K,which is used to improve the performance of the system.The simulation in MATLAB/SIMULINK shows that the single neural PID controller with the ability of self-learning and a self-adaptive function,is a strongly robust and widely applicable controller.