Air-Gap Flux Oriented Vector Control Based on Reduced-Order Flux Observer for EESM

Feng Cai, Ke Li, Xiaodong Sun and Minkai Wu
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Feng Cai: Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
Ke Li: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Xiaodong Sun: Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
Minkai Wu: Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

Energies, 2021, vol. 14, issue 18, 1-19

Abstract: Electrically excited synchronous motor (EESM) has the characteristics of high order, nonlinear and strong coupling, so it is difficult to be controlled. However, it has the advantages of adjustable power factor, high efficiency, and high precision torque control, so it is widely used in high-power applications. The accuracy of a flux observer influences the speed control system of EESM. Based on state observer in modern control theory and electrical excitation synchronous machine state equation, a reduced-order flux observer is designed. Using the first-order difference method and forward bilinear transformation method, the reduced-order flux observer is discrete, and the stability of the motor system is analyzed. The analysis shows that the stability of the system using the bilinear transformation method is better than that using the first order forward difference method. In motor operation, motor parameters will be affected by the factors of temperature, magnetic saturation, and motor frequency. In this paper, the influence of parameter variation on the motor system is studied by using the variation of the pole distribution. Finally, the speed regulation system using the reduced-order observer is simulated, which verifies the accuracy of the reduced-order flux observer observation.

Keywords: electrically excited synchronous motor; reduced order flux observer; first-order difference method; parameter variation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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