Torque controller design for electrical load simulator with estimation and compensation of parametric uncertainty

This paper proposes adaptive robust controller for electrical load simulator with estimation of parameters uncertainties and updating the model parameters to minimize model error Fuzzy logic is used to estimate the total disturbance which is function of extra torque and mechanical parameters variation. Estimation algorithm for parameters variation is derived from voltage and torque balance equations of electrical load simulator with suitable adaptive learning rate. A robust torque controller is derived from torque state equation of electrical load simulator and its stability is guaranteed using Lyapunov stability analysis. The validity of proposed controller is verified using computer simulations.