基于VACA的智能温控系统的PID参数优化  

Parameter optimization of PID intelligent temperature control system based on VACA

作　　者：徐秀芬[1] 

机构地区：[1]新乡学院机电工程学院,河南新乡453000

出　　处：《中国农机化学报》2014年第4期214-216,共3页Journal of Chinese Agricultural Mechanization

基　　金：河南省教育厅自然科学研究计划项目(2012B46002)

摘　　要：VACA由蚁群优化算法和变尺度算法融合而成的混合算法。在分析其思想及特点的基础上,针对温控系统PID控制参数整定问题,提出了基于VACA的PID参数优化策略,并给出了具体实现步骤。结果表明:VACA-PID控制器具有良好的动态性能、稳态性能和很好的鲁棒性,完全能达到温室控制系统的对性能指标的要求,从而验证了其先进性和有效性。VACA is a hybrid algorithm converged by ant colony optimization algorithm and variable metric algorithm. By analyzing the ideas and characteristics , the PID parameters optimization strategy based on VACA was put forward according to the setting problem of control parameters of temperature control system PID, and the specific implementation steps were given. The VACA-PID controller has good dynamic and stable performance and good robustness, can completely meet the performance requirements of greenhouse control system.

关 键 词：蚁群算法 变尺度法 连续空间优化问题 PID控制 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]