摘要
针对当前智能除草控制系统的非线性、时滞性及喷施精度过低等问题,设计了一种基于超代遗传算法(HG-GA)优化的模糊PID控制方案。在该方案中,针对智能除草装置的特点,设计了对应的模糊PID控制器,并对控制器的各因子进行遗传优化,从而提高系统的控制效果,同时加快了优化速度。实验结果表明这是一种有效的控制策略,尤其是在处理非线性及外部干扰方面有更好的鲁棒性。
Based on the nonlinear,time lag and low-precision spraying problems of intelligent weeding system,this paper proposed a control strategy based on hyper generation genetic optimization.This strategy designed a proper fuzzy PID controller against the feature of weeding system,and gained the optimal value of the factors of the output variables of fuzzy-PID controller to achieve better optimization speed and control effect.Experimental results show that the proposed method produces better control performance than traditional control strategy,which has good dynamic character and stabilization in handing external and nonlinearities disturbances.
出处
《计算机应用研究》
CSCD
北大核心
2011年第2期591-593,共3页
Application Research of Computers
基金
镇江市农业科技计划资助项目(GJ2008008)
关键词
模糊PID控制器
精确喷施
遗传优化
fuzzy PID controllers
precision spraying
generic optimization
