摘要
提出将 Ｐ Ｉ Ｄ 继电自整定与神经元自适应 Ｐ Ｉ Ｄ 控制相结合，利用 Ｐ Ｉ Ｄ 继电自整定法获取神经元自适应 Ｐ Ｉ Ｄ 控制器权系数的初值，实现对一般工业对象（一阶惯性加纯滞后环节）的智能控制．仿真和实时控制结果表明，这种控制策略是对实现全自动型工程控制器的有益尝试．该智能控制算法切实可行，鲁棒性强．
Combining two kinds of PID controls respectively with relayed automatic tuning and adaptive neurons and gaining the initial values of weighting coefficients for neural adaptive PID controller through PID relayed automatic tuning, intelligent control of general industrial objects first order with pure delay links) is realized. The results of simulation and real time control show that this control strategy is a useful attempt to realize a full automatic industrial controller. This intelligent control algorithm is feasible and features strong robustness.
出处
《甘肃工业大学学报》
1999年第3期72-76,共5页
Journal of Gansu University of Technology
基金
甘肃省自然科学基金
关键词
继电整定法
神经元
自适应控制
PID控制
relayed tuning
adaptive neuron control
PID control
intelligent controller
