基于遗传算法的电液变量施肥控制系统PID参数优化
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“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)


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。

    Abstract:

    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.

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梁春英,吕鹏,纪建伟,王熙.基于遗传算法的电液变量施肥控制系统PID参数优化[J].农业机械学报,2013,44(Supp1):89-93,88. Liang Chunying, Lü Peng, Ji Jianwei, Wang Xi. Optimization of PID Parameters for Electro-hydraulic Variable Rate Fertilization System Based on Genetic Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):89-93,88.

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  • 在线发布日期: 2013-10-22
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