Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II

This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levitation system is inherently unstable and the PIDcontroller parameters are hard to find using conventional methods. Based on four different performance measures, derived from the step response of the levitation system, the algorithm is used to find a set of non-dominated parameters for a PID-controller that can stabilize the system and minimize the performance measures. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search--Control theory; J.6 [Computer Applications]: Computer-aided engineering--Computer-aided design General Terms Design Keywords PID Control, Parameter tuning, Multi-objective optimization, NSGA-II

• Type: Conference
• Year: 2006
• Where: GECCO
• Authors: Gerulf K. M. Pedersen, Zhenyu Yang
• Keywords: GECCO 2006, Magnetic Levitation, Optimization, Parameter, Performance Measures