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Application of Model Predictive Control in Modular Multilevel Converter for MTPA operation and SOC Balancing
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Abstract
En 中文
In this Paper, a one-step horizon Model Predictive Control strategy is implemented in the Multilevel modular converter (MMC) to control the speed of an Interior Permanent Magnet (IPM) motor. Maximum torque per ampere (MTPA) and Field Weakening (FW) control strategy is employed for a maximum output torque. The proposed Control scheme aims to track the reference signal generated by MTPA and FW algorithm by independently regulating voltages from the MMC modules. No modulator is required to drive the switches as the switches are directly controlled. Such Short horizon (One-step horizon) implementation of MPC ensures the robustness of control system by making the real-time implementation possible. It leads to favourable performance under asymmetrical loads. Besides this, the given MPC algorithm is also incorporating a voltage balancing property which ensures the voltages of all the battery cells are kept equal. Simulation results are presented to show the effectiveness of this control strategy.
Keywords:
Field Weakening(FW)
Interior Permanent Magnet motor (IPM)
Modular Multilevel Converter (MMC)
Model Predictive Control (MPC)
Maximum Torque per Ampere (MTPA)
State of Charge (SOC) balancing
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