一种增益自适应的单神经元PID控制器

针对时滞不确定对象,提出一种单神经元PID控制器,此控制器不依赖于对象模型。由于神经元的权值能在线调整,因此具有自学习和自适应能力,同时应用自适应PSD算法调整比例系数K值的大小,构成了增益自适应的单神经元PID控制器。在MATLAB/SIMULINK下对算法实现仿真控制,结果证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、鲁棒性强且算法简单适用的控制器,适合于工业上不确定对象的平稳控制。

On Single Neural PID Controller with Gain Self-Adaptive

Aiming at the control of nonlinear and time-delay and uncertainty planta,gain-adaptive single neural PID controller is presentedw,hich is independent of the model of plant.Due to the links of neural adjustable onlinet,he arith-metic has the ability of self-learning and self-adaptabilitya,nd adjusts the proportion coefficientK which based on the self-adaptive PSD arithmetic,then makes the gain-adaptive single neural PID controller.The simulation in MATLAB/SIMULINK shows that the controller having the ability of self-learning and self-adaptive function and strongly robust,is a simple and applicable controller.The arithmetic is especially applied to uncertain object for placidity control.