研究目的
To solve the problems of power fluctuation in the photovoltaic (PV) grid-connected system and the nonlinearity in the model of inverters by designing a projection-based adaptive backstepping sliding mode controller with command-filter.
研究成果
The designed projection adaptive command filtered backstepping controller effectively addresses issues of system parameters uncertainty, the power fluctuation and the input saturation in the practical application of BESS-PV system. The simulation results show that the controller maintains stable operation under various operating conditions and provides a satisfactory performance in terms of robustness, parameters uncertainty and time-varying external disturbances.
研究不足
The study does not mention any specific limitations.
1：Experimental Design and Method Selection:
The study involves designing a projection-based adaptive backstepping sliding mode controller with command-filter to adjust the DC-link voltage and the AC side current in the PV grid-connected system. The mathematical model of the inverter in PV system is established, and backstepping control method is applied to control it. The command filter is added to the controller to eliminate the differential expansion of the backstepping controller.
2：Sample Selection and Data Sources:
The study uses a PV array, filter capacitors, output R-L filters, inverters, and a three-phase grid as part of the grid-connected BESS-PV system.
3：List of Experimental Equipment and Materials:
The equipment includes a PV array, battery energy storage system (BESS), inverters, and a three-phase grid. The materials include filter capacitors and output R-L filters.
4：Experimental Procedures and Operational Workflow:
The study involves simulating the designed controller in MATLAB/Simulink environment to analyze the performance of dynamic, static, anti-jamming and robustness under the proposed control and PI control algorithms.
5：Data Analysis Methods:
The study uses Lyapunov’s stability theory to prove the stability of the control system and analyzes the performance of the controller under various operating conditions.
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