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| An adaptive series control for an interior permanent magnet synchronous motor with actuator compensation |
| SajadNaderiLordejani1,RasoulM.Milasi2 |
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| (1 Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands;2 Department of Engineering, Penn State Fayette, The Eberly Campus, Lemont Furnace, PA, USA) |
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| 摘要: |
| An adaptive series speed control system for an interior permanent magnet synchronous motor (IPMSM) drive is presented
in this paper. This control system consists of a current and a speed control loop, and it is intended to improve the drive’s
speed tracking performance as well as to compensate for voltage distortions caused by non-ideal characteristics of the drive’s
actuator, which is a voltage source inverter (VSI). To achieve these goals, a simple model that captures these characteristics
of the VSI is developed and embedded in the motor’s electrical model. Then, based on the resulting model, an adaptive
proportional-integral (PI) control for the current loops is designed, allowing for state regulation and actuator compensation.
Additionally, to improve the drive’s speed tracking performance, a proportional-model-reference adaptive controller (MRAC)
is designed for the speed loop. Techniques from machine learning are used for designing the MRAC to effectively address
nonlinearities and uncertainties in the speed dynamic. Finally, simulation results are presented to illustrate the outstanding
performance of the proposed multi-loop controller. |
| 关键词: Permanent magnet synchronous motor · Series control · Adaptive control · PI control · Machine learning |
| DOI：https://doi.org/10.1007/s11768-022-00107-w |
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| 基金项目: |
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| An adaptive series control for an interior permanent magnet synchronous motor with actuator compensation |
| Sajad Naderi Lordejani1,Rasoul M. Milasi2 |
| (1 Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands;2 Department of Engineering, Penn State Fayette, The Eberly Campus, Lemont Furnace, PA, USA) |
| Abstract: |
| An adaptive series speed control system for an interior permanent magnet synchronous motor (IPMSM) drive is presented
in this paper. This control system consists of a current and a speed control loop, and it is intended to improve the drive’s
speed tracking performance as well as to compensate for voltage distortions caused by non-ideal characteristics of the drive’s
actuator, which is a voltage source inverter (VSI). To achieve these goals, a simple model that captures these characteristics
of the VSI is developed and embedded in the motor’s electrical model. Then, based on the resulting model, an adaptive
proportional-integral (PI) control for the current loops is designed, allowing for state regulation and actuator compensation.
Additionally, to improve the drive’s speed tracking performance, a proportional-model-reference adaptive controller (MRAC)
is designed for the speed loop. Techniques from machine learning are used for designing the MRAC to effectively address
nonlinearities and uncertainties in the speed dynamic. Finally, simulation results are presented to illustrate the outstanding
performance of the proposed multi-loop controller. |
| Key words: Permanent magnet synchronous motor · Series control · Adaptive control · PI control · Machine learning |
