Numerous studies have appeared in the control literature regarding the regulation of the angular speed of DC motors driven by DC-DC converters. In this work, we considered a buck converter-driven DC motor system. The implementation of the proposed adaptive controller requires only one sensor to measure the motor angular speed. An estimator was developed to estimate the inductor current and the output voltage of the converter, the armature current of the DC motor, and to generate a simple adaptation law for the estimate of the external load torque. A linear sliding surface was used to derive an adaptive controller that is simple in its design and guarantees closed-loop system stability and precise speed regulation in the presence of the inductor parasitic and parameter uncertainties of the converter/motor system. Furthermore, the controller was shown to be robust against external disturbances. A simple systematic procedure was outlined to select the three gains of the proposed adaptive controller. The robustness and effectiveness of the controller were validated by computer simulations and compared to the proportional integral derivative (PID) control.

A current-sensorless PWM-based robust sliding mode controller is proposed for the DC-DC Boost Converter, a nonminimum phase system that presents major challenges in the design of stabilizing controllers. The development of the controller requires the measurement of the output voltage and the estimation of its derivative. An extended state observer is developed to estimate a lumped uncertainty that comprises the uncertain load and input voltage, the converter parasitics, and the component uncertainties, and also to estimate the derivative of the output voltage. A linear sliding surface is used to derive the controller that is simple in its design and yet exhibits excellent features in terms of robustness to external disturbances, parameter uncertainties, and parasitics, despite the absence of the inductor current feedback. Also, a simple procedure to select the controller gains is outlined. The robustness of the controller is validated by computer simulations.