Faculty of Mechanical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia.
Sensors (Basel). 2023 Jan 14;23(2):979. doi: 10.3390/s23020979.
Multi-objective (MO) optimization is a developing technique for increasing closed-loop performance and robustness. However, its applications to control engineering mostly concern first or second order approximation models. This article proposes a novel MO algorithm, suitable for the design and control of mechanical systems, which does not require any order reduction techniques. The controller parameters are determined directly from a special type of rapid analysis of simulated transient responses. The case study presented in this article consists of a magnetic levitation system. Certain difficulties such as the nonlinearity identification of the magnetic force and duo magnetic field sensor scheme were addressed. To point out the advantages of using the developed approach, the simulations as well as the experiments performed with the help of the created algorithm were compared to those made with common MO algorithms.
多目标（MO）优化是一种提高闭环性能和鲁棒性的发展技术。然而，它在控制工程中的应用主要涉及一阶或二阶近似模型。本文提出了一种新的 MO 算法，适用于机械系统的设计和控制，不需要任何降阶技术。控制器参数直接从模拟瞬态响应的特殊类型快速分析中确定。本文介绍的案例研究包括磁悬浮系统。解决了某些困难，如磁场力的非线性识别和双磁场传感器方案。为了指出使用所开发方法的优点，将使用创建的算法进行的仿真以及实验与使用常见 MO 算法进行的仿真和实验进行了比较。
