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Erschienen in:
2013 | OriginalPaper | Buchkapitel
The Optimization Algorithm of Torque Compensation for PMSM Systems with Periodic-Nonlinear Load
verfasst von : Ning Chen, Yong Fan, Weihua Gui, Hao Zhang, Shouyi Yu
Erschienen in: Intelligent Computing for Sustainable Energy and Environment
Verlag: Springer Berlin Heidelberg
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Non-linear variations of load torque cycles in the low frequency operation of interior permanent magnet synchronous motor lead to rotor imbalance. To deal with this issue, we apply a low-frequency torque compensation algorithm based on control parameterization method. Given the load torque, the control variable is approximated by a piecewise constant function whose magnitudes are taken as decision vectors. The control problem is thus transferred into a mathematical programming problem , which can be solved by the Sequential Quadratic Programming (SQP) algorithm. The simulation results show that, the state variables are close to their target values. Thus, the method avoids chattering and ensures system stability.