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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．
Proposed PID relay self-tuning and neuronal adaptive PID control combined with PID self-tuning method to obtain the initial value of the neuron adaptive PID controller weight coefficient, to achieve the general industry Intelligent Control of Objects (First Order Inertia and Pure Hysteresis). Simulation and real-time control results show that this control strategy is a useful attempt to realize a fully automatic engineering controller. The intelligent control algorithm is feasible and robust.