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单神经元自适应PID控制方法将参数自整定PID控制的思想和神经网络精确描述非线性和不确定性动态过程的特性有机结合,可用于调节系统或伺服系统的控制,该方法通过对加权系数的调整来实现自适应、自学习功能;自适应神经元网络可使某个输出跟踪期望的给定值,实现静态解耦;本文将单神经元自适应PID控制器用于木材干燥系统并进行了仿真研究,结果表明了该方法的有效性、准确性和鲁棒性。图4参4。
The single neuron adaptive PID control method combines the idea of parameter self-tuning PID control and neural network to accurately describe the characteristics of nonlinear and uncertain dynamic processes. It can be used to control the system or servo system. Adaptive self-learning function; Self-adaptive neural network can make a certain output track the desired value to achieve static decoupling; In this paper, a single neuron adaptive PID controller for wood drying system and carried out Simulation results show the effectiveness, accuracy and robustness of the proposed method. Figure 4 Senate 4.