Adaptive ant colony algorithm and its application to parameters optimization of PID controller

摘要：

Ant colony algorithm (ACA) is a new simulated evolutionary optimization algorithm with the characteristics of positive feedback, distributed computing and strong robustness, but it has the limitations of poor convergence and is easy to fall in local optima. An adaptive ant colony algorithm (AACA) is introduced to improve overall importance of solutions grounded on the basic principles of ACA, and it has been applied to parameters optimization design of PID controller. The simulation results show that it is an effective and feasible algorithm with good performance index.

关键词： ant colony algorithm PID control performance index parameters optimization pheromone

作者: Jiajia He Zaien Hou

作者单位: College of Electrical and Information Engineering Shaanxi University of Science and Technology Xian College of Science Shaanxi University of Science and Technology Xian 710021,PRC

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 449-451

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）