Integral separation PID control algorithm with self-adjusting parameter and fuzzy control algorithm have been simulated and experimented in the article to test their control effect.
为验证系统的控制效果，本文对积分分离pid参数自整定算法和模糊控制算法进行了仿真和试验。
The PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.
设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。
Finally, referring the intelligent control theory, the self-adjusting parameter PID control strategy based on the fuzzy logic rules is introduced.
结合智能控制理论，提出了基于模糊规则的适应式参数自调整PID控制策略。
Finally, referring the intelligent control theory, the self-adjusting parameter PID control strategy based on the fuzzy logic rules is introduced.
结合智能控制理论，提出了基于模糊规则的适应式参数自调整PID控制策略。
应用推荐