周华强, 胡广平. 改进遗传算法在机器人PID控制中的应用[J]. 微电子学与计算机, 2014, 31(7): 69-72.
引用本文: 周华强, 胡广平. 改进遗传算法在机器人PID控制中的应用[J]. 微电子学与计算机, 2014, 31(7): 69-72.
ZHOU Hua-qiang, HU Guang-ping. Application of Improved Genetic Algorithm in PID Control for Robot[J]. Microelectronics & Computer, 2014, 31(7): 69-72.
Citation: ZHOU Hua-qiang, HU Guang-ping. Application of Improved Genetic Algorithm in PID Control for Robot[J]. Microelectronics & Computer, 2014, 31(7): 69-72.

改进遗传算法在机器人PID控制中的应用

Application of Improved Genetic Algorithm in PID Control for Robot

  • 摘要: 目前典型的PID控制已经不能很好地满足工业机器人的控制要求,提出了一种基于改进遗传算法在工业机器人自适应PID控制中的应用方法.首先对工业用机器人的运动进行了简单的描述,然后采用细菌共轭的思想,对常规的遗传算法进行了改进,并结合机器人PID控制,提出了自适应PID控制策略.通过仿真表明,改进的遗传算法可以使机器人自适应PID控制快速收敛到理想值,收敛的精度较高,并且对于常规的外界干扰,有一定的鲁棒性,满足机器人控制的要求.

     

    Abstract: The typical PID control has been unable to satisfy the requirements of industrial robot control at present,an application method based on an improved genetic algorithm for industrial robot control PID is proposed.First industrial robot for a simple description,then the idea of using bacterial conjugation,for conventional genetic algorithm was improved,combined with PID control robot is proposed an adaptive PID control strategy.The simulation shows that the improved genetic algorithm can make the robot adaptive PID control rapid convergence to the desired value,the convergence of high precision,and for regular outside interference,a certain degree of robustness to meet the requirements of robot control.

     

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