Wellington A. Silva

Robust Control Based on Generalized Predictive Control Applied to Switched Reluctance Motor Current Loop

This paper proposes a robust control based on generalized predictive control (GPC) applied to the current control loop for a switched reluctance motor (SRM) drive. The proposed controller has two degrees of freedom where the setpoint tracking is decoupled from the load disturbance rejection at the nominal case. In addition a filter design is proposed in order to achieve good relationship among robustness, load disturbance rejection, and noise attenuation. Simulation and real experimental results are shown to illustrate the controller performance. [DOI: 10.1115/1.4026128]

Speed control in switched reluctance motor based on generalized predictive control

This paper presents a robust control scheme based on a Generalized Predictive Controller (GPC) belonging to the Model Predictive Controller (MPC) Family applied to the speed loop of a SRM drive. The structure of the proposed controller is based on the design of a filter to allow a rapid response, disturbance rejection, noise attenuation and robustness with a low computational cost. The proposed controller, as well a traditional PID controller, in order to provide means of comparison of experimental results, are applied. The proposed controller was implemented and the experimental results compared with traditional PID controller and analyzed quantitatively by performance indexes.

Robust Generalized Predictive Control applied to the mitigation of electromagnetic torque oscillations in a wind energy conversion system based on DFIG

In order to make wind power generation truly cost-effective and reliable, an advanced control technique must be used. This paper presents the development of a control strategy based on the rotor current loop using the Generalized Predictive Control (GPC) approach applied to a Doubly-Fed Induction Generator (DFIG)-based wind turbine. The controller is designed to minimize oscillations in the generator electromagnetic torque by filtering the control signal. Besides, a new methodology for tuning the controller is proposed based on a single parameter that allows good tradeoffs among noise attenuation of the control signal, disturbance rejection, and system robustness during operation. Simulation results are shown and discussed to demonstrate the merit of the proposal, as the performance and robustness of the algorithm are evaluated when applied to a DFIG-based wind energy conversion system (WECS).

Self-tuning control for current loop in a Switched Reluctance Motor drive

This paper describes the development of a self-tuning control scheme applied to the current loop of a Switched Reluctance Motor (SRM) drive for trajectory tracking. The proposed control technique is based on the minimization of a modified version for the quadratic performance index, which includes an additional weighted derivative term. The self-tuning control action is implemented using a recursive identification procedure with a covariance matrix reset scheme in order to find optimum parameters for the process. The proposed method is simulated and compared with the conventional PI controller, so often found in this kind of system, and also Ziegler-Nichols (ZN) tuning method. It must be mentioned that conventional PI and PID controllers are only able to assure optimum performance around a fixed operation point, as they have proven to be inadequate to compensate for parametric uncertainties, oscillatory dynamics, and other eventual changes in the system itself. A hardware prototype is then implemented and experimental results regarding the SRM drive show that the self-tuning controller provides a significant improvement in the system behavior, with setpoint tracking and increase the torque ripple damping.