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Robust PID controller design based on H infinity theory and a novel constrained artificial bee colony algorithm

机译:基于H Infinity理论的鲁棒PID控制器设计与新颖的人工蜂菌落算法

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This paper presents a new strategy for tuning the coefficients of a PID controller regarding H infinity robust performance and stability constraints based on the constrained artificial bee colony (CABC) algorithm. First, the issue of tuning the PID controller to follow H infinity specifications are introduced, and the objective function and constraints of the optimization problem are specified. Then, a simple and efficient method of transforming the constrained optimization problem to an unconstrained one is presented, and used within the CABC for optimization. The CABC is one of the most recently introduced optimization algorithms, and has the advantages of strong robustness, fast convergence and high flexibility, with fewer setting parameters. The algorithm is essentially a random and intelligent evolutionary method. This method is also utilized and simulated in several models. The simulation results have been compared with other techniques, which demonstrate the efficiency and superiority of the proposed scheme.
机译:本文介绍了一种新的对PID控制器系数的新策略,了解基于受约束的人造群菌落(CABC)算法的HIFINITY鲁棒性能和稳定约束的PID控制器的系数。首先,介绍了调整PID控制器以关注H Infinity规范的问题,并指定了优化问题的目标函数和约束。然后,呈现了将约束优化问题转换为无约束的简单有效的方法,并在CABC内使用以进行优化。 CABC是最近引入的优化算法之一,具有强大的鲁棒性,快速收敛性和高灵活性的优点,具有较少的设置参数。该算法基本上是一种随机和智能的进化方法。该方法也在多种型号中使用和模拟。仿真结果与其他技术进行了比较,这证明了所提出的方案的效率和优越性。

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