Abstract
Sliding mode control (SMC) has the attractiveness of robustness to the system model uncertainties and disturbance, which has wide applications in power system, power electronics, and vehicle suspension system. However, it also has a drawback of chattering. To decrease the chattering phenomenon, this study develops a novel adaptive high-order sliding mode control (HOSMC), which has the benefit of parameterizable unmodeled dynamics compared with the HOSMC method. The proposed method can be employed for load frequency control with nonlinearities. The simulations are based on two and three areas of the power system with load frequency control. From the simulation results, it is apparent that the frequency deviation and ACE (area control error) converge to zero when using the proposed method. In addition, the simulation results validate the robustness of the proposed method in the case of parameters change. The oscillation and chattering can be attenuated more by the raised adaptive HOSMC compared to the super-twisting (ST) algorithm, which verifies the advantages of the proposed adaptive HOSMC scheme.
Highlights
W ITH the advantages of the robustness to the external disturbance and modelling uncertainties, sliding mode control has wide applications
It can be employed to the power electronics [6]–[8], power system [9], motor driver [10] and vehicle active suspension system [11], [12]
In [22], fuzzy logic control method is developed to the load frequency control with reheat turbine
Summary
W ITH the advantages of the robustness to the external disturbance and modelling uncertainties, sliding mode control has wide applications. Advanced robust control methods have been adapted to control the load frequency under uncertainties. In [19], fuzzy PID control method is utilized to control the load frequency with reheat turbine. In [22], fuzzy logic control method is developed to the load frequency control with reheat turbine. The sliding mode employed load frequency control in [32], [33] are developed based on the linear model. 1)A novel adaptive HOSMC approach has been developed, which contains the time varying sliding mode surface and the adaptive switching control law. The stability of this method is validated mathematically.
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