| 改进遗传算法在直流伺服电动机的PID优化控制 |
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| 引用本文： | 谢志炜,孟安波,徐强.改进遗传算法在直流伺服电动机的PID优化控制[J].机电工程技术,2012,41(2):34-38. |
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| 作者姓名： | 谢志炜 孟安波 徐强 |
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| 作者单位： | 1. 广州供电局,广东广州,510800
2. 广东工业大学自动化学院,广东广州,510006 |
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| 摘 要： | 提出了一种改进型遗传算法,它可减少传统遗传算法的进化时间和收敛代数,提高了进化的爬坡能力。同时,利用此改进算法对直流伺服电动机的控制系统进行PID控制参数优化整定,仿真结果表明该方法得到的优化参数更接近全局最优解,使控制系统具有更好的鲁棒性和稳定性。
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| 关 键 词： | 遗传算法 改进型遗传算法 PID参数优化 直流伺服电动机 |
Improved Genetic Algorithm Applied to DC Servo Motor PID Parameters Optimization |
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| XIE Zhi-wei
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MENG An-bo
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XU Qiang.Improved Genetic Algorithm Applied to DC Servo Motor PID Parameters Optimization[J].Mechanical & Electrical Engineering Technology,2012,41(2):34-38. |
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| Authors: | XIE Zhi-wei MENG An-bo XU Qiang |
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| Affiliation: | 1(1.Guangdong Power Grid Guangzhou Huadu Power Supply Burea,Guangzhou 510800,China;2.Guangdong University of Technology,Automation School,Guangzhou 510006,China) |
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| Abstract: | This paper proposes an improved Genetic Algorithm applied to PID parameter optimization.Compared with the conventional SGA,the new proposed algorithm can not only reduce the evolution generations and search time in solution space,but also greatly improve the evolution climbing power.To guide the evolution direction,a new fitness function is also put forward.The simulation results show that compared with the SGA,the control parameters obtained by the improved Genetic Algorithm can greatly improve the robustness and stability of the DC servo motor. |
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| Keywords: | Genetic Algorithm improved Genetic Algorithm PID parameters optimization DC servo motor |
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