Issa Mohamed
Computer and Systems Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt.
Faculty of Computer Science, NAHDA University in Beni-Suef, New Beni Suef City, Egypt.
Arab J Sci Eng. 2023;48(2):2191-2205. doi: 10.1007/s13369-022-07136-2. Epub 2022 Aug 26.
The Proportional-Integral-Derivative (PID) controller is a key component in most engineering applications. The main disadvantage of PID is the selection of the best values for its parameters using traditional methods that do not achieve the best response. In this work, the recently released empirical identification algorithm that is the Arithmetic Optimization Algorithm (AOA) was used to determine the best values of the PID parameters. AOA was selected due to its effective exploration ability. Unfortunately, AOA cannot achieve the best parameter values due to its poor exploitation of search space. Hence, the performance of the AOA exploit is improved by combining it with the Harris Hawk Optimization (HHO) algorithm which has an efficient exploit mechanism. In addition, avoidance of trapping in the local lower bounds of AOA-HHO is enhanced by the inclusion of perturbation and mutation factors. The proposed AOA-HHO algorithm is tested when choosing the best values for PID parameters to control two engineering applications namely DC motor regulation and three fluid level sequential tank systems. AOA-HHO has superiority over AOA and comparative algorithms.
比例积分微分（PID）控制器是大多数工程应用中的关键组件。PID的主要缺点是使用传统方法为其参数选择最佳值时，无法实现最佳响应。在这项工作中，最近发布的经验识别算法即算术优化算法（AOA）被用于确定PID参数的最佳值。选择AOA是因为其有效的探索能力。不幸的是，由于AOA对搜索空间的利用不佳，无法实现最佳参数值。因此，通过将AOA与具有高效利用机制的哈里斯鹰优化（HHO）算法相结合，提高了AOA利用的性能。此外，通过纳入扰动和变异因子，增强了对AOA-HHO局部下限的避免。在为PID参数选择最佳值以控制两个工程应用即直流电机调节和三液位顺序罐系统时，对所提出的AOA-HHO算法进行了测试。AOA-HHO优于AOA和比较算法。
