基于改进鸡群算法的模糊PID控制器设计  

Design of Fuzzy PID Controller Based on Improved Chicken Swarm Algorithm

作　　者：王卫星 WANG Wei-xing(Department of Applied Engineering, Henan Univetsity of Science and Technology, Sanmenxia 472000 China;Modern Education Technology Center, Sanmenxia Polytechnic, Sanmenxia 472000 China)

机构地区：[1]河南科技大学应用工程学院 [2]三门峡职业技术学院现代教育技术中心

出　　处：《自动化技术与应用》2019年第9期1-5,共5页Techniques of Automation and Applications

摘　　要：针对传统PID控制器在复杂被控对象上难以获得理想的控制性能,提出了模糊PID控制器(FUZZY-PID)。研究模糊PID控制器的设计,为了有效寻找模糊PID控制器中的参数,将改进鸡群算法用来优化模糊PID控制器的参数。通过建立带改进鸡群算法的模糊PID控制器模型,使控制规则和隶属函数更加合理,以增强控制器的自适应能力。仿真结果表明,改进鸡群算法的模糊PID控制方法(ICSO-FUZZY-PID)与基本模糊PID控制算法(CSO-FUZZY-PID)和经验试凑的模糊PID控制算法(FUZZY-PID)相比,明显提高了系统的性能指标。A fuzzy PID controller (FUZZY-PID) is proposed for traditional PID controllers to obtain ideal control performance on complex controlled objects. The design of fuzzy PID controller is studied. In order to effectively find the parameters in fuzzy PID controller, the improved chicken algorithm is used to optimize the parameters of fuzzy PID controller. By establishing a fuzzy PID controller model with improved chicken swarm algorithm, the control rules and membership functions are more reasonable, so as to enhance the adaptive ability of the controller. The simulation results show that the fuzzy PID control method (ICSO-FUZZY-PID) of the improved chicken group algorithm, compared with the basic fuzzy PID control algorithm (CSO-FUZZY-PID) and the empirical fuzzy PID control algorithm (FUZZY-PID), obviously improves the performance of the system.

关 键 词：PID控制器 模糊PID控制器 参数整定 经验试凑 鸡群算法 改进鸡群算法 比例因子 量化因子 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]