Model predictive control of a permanent magnet synchronous motor with experimental validation
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 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.
1584-1593
Chai, Shan
15e004b5-b6d6-4316-8a64-0427fd4a527b
Wang, Liuping
d3cd762e-6708-4126-89e5-97926bf347c9
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
2013
Chai, Shan
15e004b5-b6d6-4316-8a64-0427fd4a527b
Wang, Liuping
d3cd762e-6708-4126-89e5-97926bf347c9
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Chai, Shan, Wang, Liuping and Rogers, Eric
(2013)
Model predictive control of a permanent magnet synchronous motor with experimental validation.
Control Engineering Practice, 21 (11), .
Abstract
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.
Other
pmsm_mpc_cep.ps
- Other
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Published date: 2013
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 355044
URI: http://eprints.soton.ac.uk/id/eprint/355044
ISSN: 0967-0661
PURE UUID: 68f48333-c565-405b-a113-294164591f48
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Date deposited: 29 Jul 2013 15:23
Last modified: 15 Mar 2024 02:42
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Contributors
Author:
Shan Chai
Author:
Liuping Wang
Author:
Eric Rogers
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