| 基于改进遗传算法的PID参数研究 |
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| 引用本文： | 郑权,忻尚芝,钱建秋. 基于改进遗传算法的PID参数研究[J]. 电子科技, 2015, 28(11): 5 |
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| 作者姓名： | 郑权 忻尚芝 钱建秋 |
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| 作者单位： | (上海理工大学 光电信息与计算机工程学院,上海 200093) |
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| 基金项目： | 沪江基金资助项目(B14021D1402) |
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| 摘 要： | 常规PID参数的整定存在着控制精度低,稳定性能差的问题,一直限制了其在高精度及可靠性要求高的系统中的应用。采用改进遗传算法对PID参数进行优化,在寻优空间内快速获得全局最优点。在PID控制器中加入遗传算法模块,快速整定出最优解使系统达到稳态的最佳效果。仿真结果表明,该方法较常规PID参数整定与优化方法,具有更好的控制性能指标,提高了寻优精度,加快收敛速度。
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| 关 键 词： | 改进遗传算法 PID参数 整定优化 |
Research on PID Parameter Based on the Improved Genetic Algorithm |
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| ZHENG Quan,XIN Shangzhi,QIAN Jianqiu. Research on PID Parameter Based on the Improved Genetic Algorithm[J]. Electronic Science and Technology, 2015, 28(11): 5 |
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| Authors: | ZHENG Quan XIN Shangzhi QIAN Jianqiu |
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| Affiliation: | (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | Conventional PID parameter setting has the problem of low control precision and poor stability,which limits its applications in the systems requiring high precision and high reliability.Global optimal point can be found with the improved genetic algorithm(IGA) applied to parameter optimization of PID controller.The optimal solution is set to achieve the optimal effect of the steady state by using the PID controller with the addition of the improved genetic algorithm calculation module.Simulation shows that this method has better control performance with improved precision and fast convergence than the conventional PID parameters setting and optimization. |
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| Keywords: | improved genetic algorithm PID parameters setting optimization, |
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