Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems

To enhance the reliability of wind turbine generation systems that are generally located in remote area and subjected to harsh environment, we design pitch angle control for variable speed turbines with function fault diagnosis tolerance. The main targeted this research is mechanical wear possible break blade, gear set or shaft, which cause shaft rotary friction change. proposed method uses a disturbance observer diagnose fault. estimated used component assessment later maintenance. fault-tolerant achieved using full-order terminal sliding mode combined an adaptive neural network estimator. With compensation estimator, post-fault states can be driven onto surface converge small around origin. ensures state convergence finite time. Lyapunov derive law, so closed-loop stability estimator adaptation both guaranteed. computer simulations based on 5-MW variable-speed variable-pitch model conducted different types simulated. A third-order nonlinear space term derived, real physical parameters applied simulations. simulation results demonstrate feasibility effectiveness scheme potential real-world applications.