Adaptive Integral Backstepping Sliding Mode Generator Excitation Control
Yongxuan Huang
Abstract
Yongxuan Huang
Abstract
Disturbance and parameter uncertainty of power system have great influence on excitation system performance. The measurable state variable was selected to construct the new robust model. Integrated backstepping method and sliding mode control theory was applied to propose a new adaptive backstepping sliding mode excitation control algorithm. According to the backstepping approach, series Lyapunov functions were constructed step by step and the virtual error integral signal was introduced into Lyapunov function. The adaptive law of damping coefficient was given. A new sliding surface was designed. The whole control law was obtained by applying the sliding mode control theory and the disturbance was attenuated. Simulation results show that proposed control method can improve the voltage and power angle stability greatly cmpared to the conventional cotrol methods.
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Disturbance and parameter uncertainty of power system have great influence on excitation system performance. The measurable state variable was selected to construct the new robust model. Integrated backstepping method and sliding mode control theory was applied to propose a new adaptive backstepping sliding mode excitation control algorithm. According to the backstepping approach, series Lyapunov functions were constructed step by step and the virtual error integral signal was introduced into Lyapunov function. The adaptive law of damping coefficient was given. A new sliding surface was designed. The whole control law was obtained by applying the sliding mode control theory and the disturbance was attenuated. Simulation results show that proposed control method can improve the voltage and power angle stability greatly cmpared to the conventional cotrol methods.
Key concepts: Backstepping, Control theory (sociology), Sliding mode control, Lyapunov function, Variable structure control, Adaptive control, Lyapunov stability, Mathematics