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Predictive Control of a Permanent Magnet Synchronous Machine based on Real-Time Dynamic Optimization by Stumper, Jean-Francois; Doetlinger, Alexander; Jung, Janos; Kennel, Ralph is a scholarly article available to read on EtoBox.

What is Predictive Control of a Permanent Magnet Synchronous Machine based on Real-Time Dynamic Optimization about?

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.

Author

Stumper, Jean-Francois; Doetlinger, Alexander; Jung, Janos; Kennel, Ralph

Published

2012

Language

EN