Parameter Identification and L2 Gain Based Backstepping Control Strategy for PMSG

doi:10.16182/j.issn1004731x.joss.201701020

Abstract

Abstract: In allusion to the simultaneous time-varying characteristics of power source torque and moment of inertia in permanent magnet synchronous motor based mechanical elastic energy storage system, a parameter identification and L₂ gain based backstepping control strategy was proposed. Firstly, Time-varyring moment of inertia and input torque were simultaneously identified through the least squares algorithm with forgetting factor. Then, on the basis of identification results and combining backstepping control and L₂ gain disturbance suppression method, a nonlinear backstepping controller was designed against identification errors and parameters perturbation to ensure the rotating speed and output currents of PMSG to track the given references. The simulation results show that the outputs of PMSG can track the target values rapidly and the proposed strategy has a certain anti-interference ability.

Key words: mechanical elastic energy storage system (MEES), least squares algorithm with forgetting factor, backstepping control, L_{2_gain,} PMSG

CLC Number:

TP273

Mi Zengqiang, Guo Xudong, Yu Yang. Parameter Identification and L₂ Gain Based Backstepping Control Strategy for PMSG[J]. Journal of System Simulation, 2017, 29(1): 144-153.

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Parameter Identification and L₂ Gain Based Backstepping Control Strategy for PMSG

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