Fault Tolerant Control Strategy Based on Model Predictive Control and Unscented Kalman Filter for Permanent Magnet Synchronous Motor
- Resource Type
- Conference
- Authors
- Aboelhassan, Ahmed; El Sayed, Waseem; Hebala, Ahmed; Galea, Michael; Bozhko, Serhiy
- Source
- 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Industrial Electronics and Applications (ICIEA), 2021 IEEE 16th Conference on. :153-159 Aug, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Analytical models
Torque
Fault tolerant systems
Fault tolerant control
Permanent magnet motors
Synchronous motors
State-space methods
fault tolerant
fault diagnosis
Model predictive control
unscented Kalman filter
PMSM
- Language
- ISSN
- 2158-2297
Permanent Magnet Synchronous Motors (PMSMs) are now extensively used in many critical applications. There is an increasing need for the motor and control system to have fault tolerant capabilities. This paper presents a fault tolerant control strategy to operate the PMSM during inter-turn fault conditions. The proposed technique combines the Model Predictive Control (MPC) for the speed and current control loops, and an almost error-free Unscented Kalman Filter (UKF) to estimate the PMSM inter-turn fault ratio. The PMSM state-space model for healthy and faulty conditions will be presented. Also, the equations and the remedial action of the MPC and UKF are provided in detail. The proposed algorithm is applied to PMSM model as a case study with a range of simulation analysis and discussion of results.