Decoupling Control of Bearingless Synchronous Reluctance Motor Based on SVM Inversely Optimized by ACO

Decoupling Control of Bearingless Synchronous Reluctance Motor Based on SVM Inversely Optimized by ACO

Xiaoyan Diao Huangqiu Zhu 

School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

Corresponding Author Email:;
25 May 2017
3 June 2017
30 June 2017
| Citation



Based on the SVM inversely optimized by ant colony optimization (ACO), this paper proposes a decoupling control approach for the bearingless synchronous reluctance motor (BSRM), a multivariable, nonlinear and strong-coupled system. Specifically, the inverse model approximated by SVM based on the ACO was cascaded with the original system to obtain three composite pseudo-linear subsystems, and the closed-loop controllers were designed for these pseudo-linear subsystems. The simulation results proved the effectiveness of the decoupling control strategy, and evidenced the dynamic performance and robustness of the control system.


bearingless synchronous reluctance motor, support vector machine, ant colony optimization algorithm, decoupling control.

1. Introduction
2. Operation Principle and Mathematical Model of the BSRM
3. Decoupling Control Based on SVM Inversely Optimized by ACO
4. Simulation Research
5. Conclusion

This work was supported by the Key Development Program in Jiangsu Province under Project BE2016150, the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (2014).


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