Model predictive control of a permanent magnet synchronous motor with experimental validation

This paper develops new results on the use of model predictive control to regulate the speed of a permanent magnet synchronous motor where the design is based on a linearized state space representation of the nonlinear model that describes the dynamics. The model predictive controller employs integr...

Full description

Bibliographic Details
Main Authors: Chai, Shan (Author), Wang, Liuping (Author), Rogers, Eric (Author)
Format: Article
Language:English
Published: 2013.
Subjects:
Online Access:Get fulltext
LEADER 01044 am a22001453u 4500
001 355044
042 |a dc 
100 1 0 |a Chai, Shan  |e author 
700 1 0 |a Wang, Liuping  |e author 
700 1 0 |a Rogers, Eric  |e author 
245 0 0 |a Model predictive control of a permanent magnet synchronous motor with experimental validation 
260 |c 2013. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/355044/1/pmsm_mpc_cep.ps 
520 |a This paper develops new results on the use of model predictive control to regulate the speed of a permanent magnet synchronous motor where the design is based on a linearized state space representation of the nonlinear model that describes the dynamics. The model predictive controller employs integral action, resulting in zero steady-state error and load torque disturbance rejection. Design in the presence of constraints is considered, where a quadratic programming procedure is used to solve the resulting online optimization problem during experimental verification by application to an industry-sized motor. 
655 7 |a Article