A predictive control scheme for a permanent-magnet synchronous machine (PMSM) is presented. It is based on a suboptimal method for computationally efficient trajectory generation based on continuous parameterization and linear programming. The torque controller optimizes a quadratic cost consisting of control error and machine losses in real-time respecting voltage and current limitations. The multivariable controller decouples the two current components and exploits cross-coupling effects in the long-range constrained predictive control strategy. The optimization results in fast and smooth torque dynamics while inherently using field-weakening to improve the power efficiency and the current dynamics in high speed operation. The performance of the scheme is demonstrated by experimental results.
@article{arxiv.1212.0096,
title = {Predictive Control of a Permanent Magnet Synchronous Machine based on Real-Time Dynamic Optimization},
author = {Jean-Francois Stumper and Alexander Doetlinger and Janos Jung and Ralph Kennel},
journal= {arXiv preprint arXiv:1212.0096},
year = {2012}
}
Comments
Proceedings of the European Conference on Power Electronics and Applications (EPE - ECCE Europe), paper 99, Birmingham, August 30 - September 1, 2011