An improved adaptive cascade control for DC-DC boost converters

Model mismatch from parameter uncertainties and disturbance is a challenge of controller design for DC-DC boost converters. To deal with this problem, a composite cascade adaptive controller is proposed in this paper. The outer loop is a PI controller combined with a feedforward compensator to generate the current signal from the output voltage reference and the inner loop is a finite horizon Model Predictive Control (MPC) for current tracking. Meanwhile, the iterative Least Square Algorithm (LSA) is introduced for model modification, which is used in model based feedforward compensator and model based MPC for better performance. Two advantages are shown that the proposed composite adaptive controller has fast response compared with the traditional PI-MPC controller and the accurate parameter estimation can be used in health assessment. All the proposed methods and benefits are validated by simulation results based on Matlab/Simulink platform.