【作者】 李国柱；

【Author】 Guozhu LI Department of Mechanical and Electronic Engineering,Xi’an University of Arts and Science,Xi’an,China,710065

【机构】 西安文理学院机械电子工程系；

【摘要】 PID控制器是一类广泛使用的控制器,其参数优化决定了控制器的性能。提出了一种基于改进量子进化算法的PID控制参数优化方法。在该算法中量子个体的每位量子比特都可以向不同的目标学习,实现了量子个体之间信息的充分交换,一方面保证了算法的收敛性,一方面保证了算法的探索能力,有效提高了算法的优化性能。将该方法用于PID控制器参数优化,与其他优化算法的仿真结果比较表明,该方法能获取更好的控制效果,验证了该方法的有效性。更多还原

【Abstract】 PID controller is a widely used controller.Its performance depends on the optimization of PID controller parameters.An optimization method of PID control parameters is proposed,based on the improved quantum inspired evolutionary algorithm.In this algorithm,each quantum bit of quantum model is allowed to learn from different target solutions,which achieves a full exchange of information between the quantum models.Both the convergence and exploration ability of this algorithm are guaranteed,which effectively improve the optimization capability of this algorithm.Compared with other optimization algorithm,the simulation results show that this method can get better control effect and verify the validity of the method.更多还原