Abstract:
As has been shown by many recent papers, the concept of model predictive control (MPC) is suitable for applications in electrical drive control which exhibits nonlinear m...Show MoreMetadata
Abstract:
As has been shown by many recent papers, the concept of model predictive control (MPC) is suitable for applications in electrical drive control which exhibits nonlinear model dynamics with hard constraints. In case of large-scale optimization the MPC may be time-consuming, which is unfeasible for real applications. The usual way to reduce the computational costs is to discretize the control domain, which is very restrictive. This paper presents a novel approach to time-optimal control of permanent magnet synchronous motor (PMSM). The approach exploits similarity of the PMSM model and a double-integrator model and consider continuous control domain. The designed approach is tested by both simulation and real experiments.
Published in: 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
Date of Conference: 04-06 September 2017
Date Added to IEEE Xplore: 19 October 2017
ISBN Information: