Model predictive control (MPC) in system control industry overrides the challenges of conventional controllers in controlling complex systems. However, for efficient control, it is essential to find the best combination of parameter values. In this paper, we present the implementation of a multivariable dynamic matrix control (DMC) algorithm. An industrial system consisting of a DC motor, coupled to a mechanical load, the assembly associated with an electronic speed variator was considered to test the implemented DMC controller. DMC’s tuning parameter analysis on the manipulated inputs and their variations on the controlled outputs was performed. Results guarantee that efficient control was presented.
In this paper, instantaneous complex current and voltage for steady-state single-phase alternating-current (AC) circuit are introduced to improve the teaching methodology of instantaneous powers in undergraduate power courses. In contrast to the classical approach using fixed phasors, it is shown in this paper that an instantaneous solution approach also provides interesting results and leads to exact formulations of instantaneous powers. As a step towards building instantaneous reactive-power metering equipment for teaching purposes, a numerical model has been developed using Matlab/Simulink software. The evaluation of the approach by means of a student assessment is also addressed in the paper.
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