Authors
Shan Chai, Liuping Wang, Eric Rogers
Publication date
2013/11/1
Journal
Control Engineering Practice
Volume
21
Issue
11
Pages
1584-1593
Publisher
Pergamon
Description
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 on-line optimization problem during experimental verification by application to an industry-sized motor.
Scholar articles
S Chai, L Wang, E Rogers - Control Engineering Practice, 2013