基于改进人工蜂群优化算法的PID参数整定

针对传统的PID控制器参数整定方法中存在的整体效率低、控制效果差等问题，提出了一种改进的人工蜂群算法，在标准算法的搜索方程中引入差分进化算法的变异算子，并添加自适应调整参数，提升算法的收敛速度、增强局部寻优效果的同时，平衡了算法的全局探索和局部开发能力。实验表明，改进后的算法对PID控制器的参数整定优化有明显效果。

PID parameter tuning based on improved artificial bee colony optimization algorithm

Aiming at the problems of low overall efficiency and poor control effect in the traditional PID controller parameter tuning method, an improved artificial bee colony algorithm is proposed, which introduces the mutation operator of the differential evolution algorithm into the search equation of the standard algorithm, and adds the adaptive adjustment parameter. This improvement can improve the convergence speed of the algorithm and enhance the local optimization ability, while balancing the global exploration and local development capabilities of the algorithm. Experiments show that the improved algorithm has obvious effect on parameter tuning optimization of PID controller.