【作者】 倪惠康； 杜文莉； 钱锋；

【Author】 Ni Hui-Kang,Du Wen-Li,Qian Feng (1 Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education;2 East China University of Science and Technology)

【机构】 化工过程先进控制和优化教育部重点实验室华东理工大学；

【摘要】 差分进化算法是近几年优化领域中新出现的进化算法,其快速的全局寻优能力特别适用于PID参数的整定。本文在简要介绍差分进化算法的基础上,针对PID参数整定问题提出了基于改进差分进化算法的优化策略,给出了算法的实现步骤。以Wood-Berry二元精(?)系统为研究对象进行了仿真实验,结果表明同传统的遗传算法优化比较基于改进差分进化算法优化得到的PID参数能够使系统的动态和稳态性能得到更好的改善,从而验证了该方法的可行性和有效性。更多还原

【Abstract】 Differential evolution algorithm has been emerging in recent years as a new evolution algorithm,and its rapid global optimization ability is especially suitable for tuning PID parameters.In this paper,after briefly introducing the Differential Evolution Algorithm,the optimization strategy and Implementation for the PID parameter tuning issue will be put forward,which is based on the improved differential evolution algorithm. The experiment is simulated by Wood-Berry distillation of binary system,and the result shows that the PID parameters can get the much better dynamic and steady-state performance in system,which based on the improved differential evolution algorithm than on the traditional genetic algorithm,so to verify the feasibility and effectiveness of the method.更多还原