单神经元自适应PID控制器的应用  

Application of Single Neuron Self-adaptive PID Controller

作　　者：易以锋[1] 方康玲[2] 李威[3] 

机构地区：[1]中国船舶重工集团第701研究所,武汉430064 [2]武汉科技大学信息科学与工程学院,武汉430081 [3]武汉钢铁集团轧辊有限责任公司,武汉430080

出　　处：《自动化仪表》2007年第3期46-48,共3页Process Automation Instrumentation

摘　　要：对单神经元自适应PID控制器的控制算法进行了研究;利用Matlab/Simulink对复杂对象进行了闭环仿真,将单神经元自适应PID控制算法与常规PID控制算法进行了比较。结果表明单神经元自适应PID控制算法明显优于常规PID控制算法;将单神经元自适应PID控制器应用到焦炉集气管压力控制系统,集气管压力系统的抗干扰能力得到提高,取得了良好的控制效果。The control algorithm of single neuron self-adaptive PID controller is researched. The closed loop simulation for complex object is given by using Matlab/Simulink. The control algorithms of single neuron self-adaptive PID is compared with conventional PID. As the result, the single neuron self-adaptive PID is much better than conventional PID. The proposed single neuron self-adaptive PID is applied into pressure control system of gas collector of coke oven. The application indicates that the capability of anti-disturbance is improved and perfect control effects are obtained.

关 键 词：神经元 自适应控制 集气管压力 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]