Abstract

The unbalanced force on the active magnetic bearing (AMB) rotor system is the main reason of system vibrations, which always have periodic repetitive characteristics. However, the closed-loop feedback control system (CFCS) is difficult to achieve effective control of these repetitive problems. In this paper, we firstly analyzed the synchronous vibration by taking AMB rotor mass imbalance as an example. Then, we proposed a model-free control (MFC) method based on the Newton-type ILC algorithm, and the key of this MFC is to use a partial derivative (P-D) of the output with respect to the input. The simplicity of this algorithm lies in that and the P-D is calculated by only using the input and output (I/O) data of the system and then used to adjust the ILC gain. Subsequently, we proposed a parallel plug-in control scheme based on existing AMB control system to suppress synchronous vibration. Finally, we carried out the simulation and experiment to research the control method mentioned in this paper. The results show that the MFC has a good control effect on AMB synchronous vibration. Notably, this MFC for synchronous vibration has the advantages of being without system model, simple design and good portability, and can provide theoretical and experimental basis for the application of AMB in high precision and high speed fields.

Highlights

  • Many traditional mechanical bearings are difficult to meet requirements of some occasions due to mechanical friction, serious wear, and lubrication, etc

  • active magnetic bearing (AMB) has been verified in the field of high speed, high precision and high clean occasions, such as the primary helium circulator and helium compressor used in primary helium circulation system of high temperature gas-cooled reactor [2], [3], and high speed motor [4]

  • As one of data-driven control method, ILC can deal with repetitive problems as the periodic vibration stated in this paper by using the previous system information, and need little system model [24], which provides the foundation for the model-free control (MFC) applied to suppress AMB synchronous vibration researched in this paper

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Summary

INTRODUCTION

Many traditional mechanical bearings are difficult to meet requirements of some occasions due to mechanical friction, serious wear, and lubrication, etc. Y. Zheng et al.: A Model-Free Control Method for Synchronous Vibration of AMB Rotor System freedom (DOF) controller, nonlinear smooth feedback control method and linear parameter varying controller were studied for AMB [14]–[16]. As one of data-driven control method, ILC can deal with repetitive problems as the periodic vibration stated in this paper by using the previous system information, and need little system model [24], which provides the foundation for the MFC applied to suppress AMB synchronous vibration researched in this paper. The purpose of this paper is mainly to put forward and achieve a completely MFC method based on Newton-type ILC for synchronous vibration of AMB rotor system with the advantages of ILC over repetitive problems and needing little system model information.

AMB ROTOR SYNCHRONOUS VIBRATION MECHANISM ANALYSIS
ITERAIVE LEARNING CONTROL BASED ON NEWTON METHOD
ITERAIVE LEARNING GAIN ESTIMATION
CONTROL SCHEME ANALYSIS
CONTROL PLANT DESCRIPTION
EXPERIMENTAL RESEARCH
CONCLUSION
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