Parameter and State Estimation of DC-DC Converter for Control profile Enhancement with Input-Output Disturbances

Feedback linearization utilizes an efficient linearizing control to make the input-output nonlinear dynamics of a plant linear such that multiple linear control methods can be used to track output trajectories to the desired one. The open problems in control of feedback linearizable systems are the identification of dynamics in terms of coefficients and system states. Therefore, the input-output linearization based control with LMI based state observer is presented for a DC-DC buck converter in CCM(Continuous Conduction Mode) mode. The LMI approach for observer ensures robustness to additive and environmental system uncertainties. However, the exact knowledge of system parameters is obligatory during closed-loop system operation.Parameter estimation is performed in open loop using DREM(Dynamic Regression Extension and Mixing) technique to improve transient response and finite time parameter convergence. The feedback control law, state and parameter estimations are simulated on MATLAB/SIMULINK.