Adaptive Observer Based Output Voltage-Tracking Control of DC-DC Boost Converters

In this paper, the voltage regulation of DC-DC boost converters is investigated in the existence of unmodeled system dynamics and load perturbations. An adaptive observer based sliding mode controller (SMC) is proposed based on the radial basis function (RBF) neural networks for estimating the uncertain system function. The parameters of the RBF are updated online based on the adaptive law. The adaptive control law is developed based on the Lyapunov synthesis for the RBF model. The Lyapunov theory is utilized for proving the stability of the overall system. The chattering phenomenon is eliminated, and the robust action of the controller is ensured. For checking the effectiveness of the designed robust and adaptive controller, comparative simulations are carried out. Simulation results show better dynamic regulation of the boost converter compared to the conventional control in the presence of uncertainties and unmodeled dynamics.