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A Comparison Between Adaptive PID Controller and PID Controller with Derivative Path Filter Based on Bacterial Foraging Optimization Algorithm

机译:基于细菌觅食优化算法的自适应PID控制器与带导数路径滤波器的PID控制器的比较

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摘要

In this paper, design of conventional PID controller along with PID controller with derivative path filter both optimized by Bacterial Foraging Optimization Algorithm, for one unstable system and one stable system, is discussed. This algorithm is fairly new stochastic optimization algorithm and has found its way in quite some research works recently proving its effectiveness. Here the unstable system is L-Stage Inverted Pendulum system which is essentially a nonlinear system and its linearized transfer function with angular position of rod as output is only considered. On the other hand a series RLC plant is taken as a stable system. Both plants are included to show the effectiveness of this scheme. The controllers designed by this scheme are quantitatively analyzed and compared with each other and the later clearly shows significant improvements in different performance indices. Relevant Matlab/Simulink simulation results showing this are included in support of this scheme.
机译:本文针对一台不稳定系统和一台稳定系统,讨论了通过细菌觅食优化算法优化的传统PID控制器以及带微分路径滤波器的PID控制器的设计。该算法是相当新的随机优化算法,并且在最近的许多研究工作中已经找到了证明其有效性的方法。在这里,不稳定系统是L阶倒立摆系统,它本质上是一个非线性系统,仅考虑以杆的角位置作为输出的线性传递函数。另一方面,RLC系列设备被视为一个稳定的系统。包括两个工厂以显示该方案的有效性。对该方案设计的控制器进行了定量分析,并相互比较,后者清楚地表明了不同性能指标的显着改进。 Matlab / Simulink的相关仿真结果表明了这一点,以支持该方案。

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