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提出了一种应用于自适应PID控制器的神经网络与模糊控制相结合的算法,该算法可以有效地解决普通PID控制器依赖于对象的数学模型的缺点,可实现控制系统的在线自适应调整,可满足实时控制的要求。仿真结果表明,基于模糊神经网络整定的PID控制器具有较好的自学习和自适应性,具有较快的响应速度。
A neural network and fuzzy control algorithm that is applied to adaptive PID controller is proposed. The proposed algorithm can effectively solve the problem of object-dependent mathematical model of ordinary PID controller, and can realize online adaptive adjustment of control system , To meet the requirements of real-time control. The simulation results show that PID controller based on fuzzy neural network tuning has good self-learning and self-adaptability and fast response speed.