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首页> 外文期刊>International Journal of Computer Aided Engineering and Technology >PID controller tuning using hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation
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PID controller tuning using hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation

机译:使用基于框进化优化的混合优化技术和基于教师 - 学习者优化的PID控制器调整

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摘要

In this paper, a hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation (BEO-TLBO) is proposed for proportional-integral-derivative (PID) controller tuning of level control of three-tank system. The integral-square-error (ISE) of unit step response is minimised for obtaining optimal controller parameters. The ISE is designed in terms of alpha and beta parameters. In BEO-TLBO, a global search is first carried out over the entire search space to determine the set of desired controller parameters using teacher-learner-based-optimisation (TLBO). The search is then refined in the second stage using Box's evolutionary optimisation (BEO). The results obtained using BEO-TLBO are compared with other existing techniques. Computer simulations reveal that the hybrid optimisation based approach meets the desired specifications with greater accuracy as compared to the other existing methods.
机译:本文提出了一种基于箱体进化优化和基于教师 - 学习者的优化(BEO-TLBO)的混合优化技术,用于三箱系统水平控制的比例积分 - 控制器调整。单位阶梯响应的积分误差(ISE)最小化以获得最佳控制器参数。 ISE以alpha和beta参数为设计。在BEO-TLBO中,首先在整个搜索空间上进行全局搜索,以确定使用基于教师学习者的优化(TLBO)的所需控制器参数集。然后使用Box的进化优化(BEO)在第二阶段中精炼搜索。使用BEO-TLBO获得的结果与其他现有技术进行比较。计算机模拟表明,与其他现有方法相比,基于混合优化的方法符合更高的准确性。

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