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   Predictive Control of a Permanent Magnet Synchronous Machine based on Real-Time Dynamic Optimization   [View] 
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 Author(s)   Jean-François STUMPER, Alexander DÖTLINGER, Janos JUNG, Ralph KENNEL 
 Abstract   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. 
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Filename:0099-epe2011-full-12430677.pdf
Filesize:149.7 KB
 Type   Members Only 
 Date   Last modified 2012-01-26 by System