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Hybrid DE-TLBO Based Robotic Arm Controller

机译:基于混合DE-TLBO的机械臂控制器

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A New effective optimization Technique called ‘Hybrid DE-TLBO’ is proposed in this paper by clubbing of Differential Evolution10 and Teacher learning Based optimization algorithms9 for optimization of motion control of one degree of freedom of Robotic arm consisting of a DC Motor. This algorithm is used to control the PID gains namely Kp, Ki, Kd to get the optimized values of desired specifications that is to optimize the Rise time, settling time, steady state error, Maximum Peak Overshoot. This can be achieved through developing the model of DC Motor of Robotic Arm in Simulink and simulate with the algorithm and comparing with DE and TLBO algorithms.
机译:本文结合差分进化10和基于教师学习的优化算法9,提出了一种称为“混合DE-TLBO”的新有效优化技术,以优化由直流电动机组成的机械臂的一个自由度的运动控制。该算法用于控制PID增益,即Kp,Ki,Kd,以获得所需规格的优化值,即优化上升时间,稳定时间,稳态误差,最大峰值过冲。这可以通过在Simulink中开发机器人手臂的直流电动机模型并通过算法进行仿真,然后与DE和TLBO算法进行比较来实现。

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