基于TS模型的增益自校正单神经元PID控制算法  

Research on algorithm of single neuron adaptive PID controller with fuzzy self-tuning gain

作　　者：董红生[1] 黄晓峰[1] 

机构地区：[1]兰州工业高等专科学校电气工程系,甘肃兰州730050

出　　处：《自动化与仪器仪表》2007年第6期6-8,共3页Automation & Instrumentation

摘　　要：将单神经元自适应PID控制算法和基于TS模型的模糊推理系统相结合,提出了增益模糊自校正单神经元PID控制算法。该算法使得传统单神经元自适应PID控制的神经元增益具备在线自动调整的功能,对于变增益的不确定性系统的控制,获得了很好的控制性能。Combining algorithm of single neuron adaptive PID control with fuzzy logic system based on TS model, the algorithm of single neuron adaptive PID controller with fuzzy self-tuning gain is suggested. The algorithm makes the tradition neuron gain of single neuron adaptive PID have the ftmction of online automatic adjustment, the uncertain system to changing gain can achieve well control performance.

关 键 词：单神经元PID控制 TS模糊模型 增益模糊自校正 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]