MPPT Control Paradigms for PMSG-WECS: A Synergistic Control Strategy With Gain-Scheduled Sliding Mode Observer

The wind energy conversion system (WECS) frequently operates under highly stochastic and unpredictable wind speed. Thus, the maximum power (MP) extraction, in such unpredictable scenarios, becomes a very appealing control objective. This paper focuses on the extraction of MP from a variable-speed WECSs, which further drive a permanent magnet synchronous generator (PMSG). At the first stage, the dynamical model of the PMSG is converted into Bronwsky form, which is comprised of both visible and internal dynamics. The first-order internal dynamics are proved stable, i.e., the system is minimum phase. The control of the second-order visible dynamics, to track a varying profile of the wind speed, is the main consideration. This job is accomplished via Backstepping-based robust Sliding Mode Control (SMC) strategy. Since, a conventional SMC suffers from inherited chattering issue, thus, the discontinuous control component in SMC scheme is replaced with super-twisting and real-twisting control laws. In addition, the immeasurable states' information are estimated via gain-scheduled sliding mode observer. The overall closed-loop stability is ensured by analysing the quasi-linear form, which supports the separation principle. The theoretical claims are authenticated via simulation results, which are performed in Matlab/Simulink environment. Besides, a comparative analysis is carried out with the standard literature results, which quite obviously outshines the investigated control approaches in terms of varying wind profile tracking and the corresponding control input.

Automated summary

This paper investigates the extraction of maximum power from wind energy conversion systems using a robust sliding mode control strategy, which addresses the chattering issue of conventional SMC. Theoretical claims are validated through simulation results and comparative analysis shows the superiority of the proposed control approaches in tracking varying wind profiles and corresponding control inputs.