학술논문

System Parameter-free Continuous Control-set Predictive Current Control of Synchronous Motors
Document Type
Conference
Source
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society, IECON 2022 – 48th Annual Conference of the IEEE. :1-6 Oct, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Current control
Adaptation models
Predictive models
Permanent magnet motors
Prediction algorithms
Permanent magnets
Voltage control
predictive control
interior permanent magnet motor
synchronous reluctance motor
recursive least squares
Language
ISSN
2577-1647
Abstract
In the paradigm of more-intelligent ac drives, the adoption of a system parameter-free algorithm for the current control is a substantial innovation, as it makes modelling and identification of the physical system obsolete. The prediction of current space vector trajectory is based on an adaptive model instead of a traditional motor model. A newly tailored optimisation problem exploits the current prediction to generate the optimal voltage vector reference within an hexagonally limited continuous set. The paper provides several hints for design and implementation, while also providing a remedy for stagnation phenomena that can appear due to the application of a constant voltage during transients. The proposed current control algorithm has been tested extensively on an experimental test rig, featuring a full bus voltage, and two different synchronous motors, either with or without permanent magnets. It is not necessary to fine-tune any controller or to know in advance the motor connected.