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基于遗传算法的电液变量施肥控制系统PID参数优化 被引量:25

Optimization of PID Parameters for Electro-hydraulic Variable Rate Fertilization System Based on Genetic Algorithm
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摘要 针对阀控液压马达变量施肥系统PID控制算法,参数整定过程复杂、经验性强、工作量大的不足,提出了基于遗传算法整定PID的方法。利用变量施肥系统仿真模型,研究遗传算法整定PID与临界比例度法整定PID方波响应曲线,表明遗传算法PID控制器响应速度快、超调量小、调节时间短。在变量施肥试验台上进行系统稳态性能试验,结果表明:遗传算法PID参数系统稳态跟踪误差小,调速范围跟踪线性度好。遗传算法PID精简了参数整定过程,优化了参数整定结果。 Aim to the problems of complicated adjustment of PID parameter,time-consuming and strongly empirical in variable rate fertilization system,genetic algorithm PID( GA-PID) tuning method was proposed to implement flexible parameter adjustment.By using Matlab/Simulink simulation,the square wave response of traditional PID and GA-PID system were compared.The results showed that GA-PID control strategy was superior to the conventional PID in response speed,overshoots,and setting time.System steady performance experiment was carried out at variable rate fertilization test bench.The results showed that GA-PID control algorithm of variable rate fertilization system was very accurate,the static error was small,and speed range linearity as good.GA-PID retrenched the process of parameter tuning and optimized the parameter tuning results.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2013年第S1期89-93,88,共6页 Transactions of the Chinese Society for Agricultural Machinery
基金 "十二五"国家科技支撑计划资助项目(2012BAD04B01 2011BAD20B03 2011BAD20B06) 黑龙江省教育厅资助项目(12511355) 黑龙江农垦总局资助项目(HNK11A-07-01)
关键词 变量施肥 遗传算法 控制系统 参数优化 Variable rate fertilization Genetic algorithm Control system Parameter optimization
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