Sensorless and On-line Parameter Estimation with Model Predictive Control of IPMSMs
- Resource Type
- Conference
- Authors
- Bui, M.X.; Thuy, Le Khac; Xiao, D.; Rahman, M.F.
- Source
- IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society (IECON), 2021 47th Annual Conference of the IEEE. :1-6 Oct, 2021
- 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
Inductance
Torque
Simulation
Estimation
Rotors
Pulse width modulation
Predictive models
Model Predictive Control
Direct Torque and Flux control
Sensorless Control
IPMSM
Online Parameter Identification
Current derivative (slope)
- Language
- ISSN
- 2577-1647
This paper proposes a sensorless and inductance estimation methods with model predictive control for the interior permanent magnet synchronous motor (IPMSM). The model predictive direct torque and flux control with constant PWM cycle is applied to the control system. The rotor speed and position are estimated based on the current slopes at one active and one zero volage vector during every PWM period where the duty cycle of the active voltage vector is controlled. In addition, the prediction of machine torque and flux is enhanced by the online identification of machine inductances. Extensive numerical simulation has been implemented to validate the robustness and the effectiveness of the proposed sensorless and inductance estimation methods.