Active Magnetic Bearing PID Tuning With Model-Free Time-Domain Analysis Based Heuristic Algorithm
Mingqu Zhou, Yixuan Shuai, Dong Jiang, Zicheng Liu
Abstract
Active magnetic bearing (AMB) is an advanced contactless bearing system for high rotation speed equipment but cannot work stably without closed-loop control. Normally multiple proportional integral derivative (PID) controllers are used to control the multiaxis AMB system. However, existing AMB PID controller tuning methods mainly focus on optimization and cannot turn an AMB system from unstable to stable. In this article, a model-free AMB PID tuning method is proposed to solve this problem for the first time, which imitates an experienced AMB engineer and utilizes physical information from runtime data. The effects of varying PID controller parameters on rotor displacements are analyzed in the time domain and meta-parameters are proposed to describe the parameters' performance. The effectiveness of the proposed tuning method is supported by the time-domain analysis and is also verified through experiments. For an unknown and untuned AMB system, the proposed tuning method provides a parameters solution in a short time with acceptable performance. With the tuned AMB system provided by the proposed tuning method, further works like system identification or optimization can be carried out more easily.