Tufenkci Sevilay, Senol Bilal, Alagoz Baris Baykant, Matušů Radek
Department of Computer Engineering, Inonu University, Malatya, Turkey.
Centre for Security, Information and Advanced Technologies (CEBIA-Tech), Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic.
J Adv Res. 2020 Mar 13;25:171-180. doi: 10.1016/j.jare.2020.03.002. eCollection 2020 Sep.
Due to the adverse effects of unpredictable environmental disturbances on real control systems, robustness of control performance becomes a substantial asset for control system design. This study introduces a v-domain optimal design scheme for Fractional Order Proportional-Integral-Derivative (FOPID) controllers with adoption of Genetic Algorithm (GA) optimization. The proposed design scheme performs placement of system pole with minimum angle to the first Riemann sheet in order to obtain improved disturbance rejection control performance. In this manner, optimal placement of the minimum angle system pole is conducted by fulfilling a predefined reference to disturbance rate (RDR) design specification. For a computer-aided solution of this optimal design problem, a multi-objective controller design strategy is presented by adopting GA. Illustrative design examples are demonstrated to evaluate performance of designed FOPID controllers.
由于不可预测的环境干扰对实际控制系统会产生不利影响，控制性能的鲁棒性成为控制系统设计的一项重要资产。本研究引入了一种用于分数阶比例积分微分（FOPID）控制器的v域优化设计方案，并采用遗传算法（GA）进行优化。所提出的设计方案通过将系统极点放置在与第一黎曼曲面夹角最小的位置，以获得改进的抗干扰控制性能。通过满足预定义的干扰率（RDR）设计规范，以这种方式进行最小夹角系统极点的最优放置。为了对这个最优设计问题进行计算机辅助求解，采用遗传算法提出了一种多目标控制器设计策略。通过示例设计展示了所设计的FOPID控制器的性能评估。
