Performance Specifications guaranteed Variable Speed Control of Wind Turbines Subject to Input Quantization and Modeling Uncertainties

摘要

This paper investigates the problem of maximum-power-point-tracking for variable-speed wind turbines (VSWT), where the input signal is quantized by a sector-bounded quantiz-er. This quantizer has the advantages of relaxing the transmission bandwidth requirement and reducing the load of the drive system. Compared with existing results in adaptive control for VSWT, an adaptive neural-network unit is designed to account for modeling uncertainties of the wind turbine, thus, removing the requirement of availability of precise aerodynamics. The proposed control algorithm consists of a supervisory part and robust neuroadaptive part based on prescribed performance bound (PPB) connected by a soft linking module, which is able to ensure the continuity of the controller at the moment of switching. The effectiveness of the proposed control strategy is confirmed by systematic stability analysis and simulation.