Design and implementation of model predictive controller

Abstract EN

The precise position control of a DC servo motor is a major concern in today's control theory.

this work presents position following and forecast of dc servo engine utilizing an alternate control technique.

control technique is required to limit and diminish the consistent state error.

a model predictive controller MPC is utilized to plan and actualize these prerequisites.

two sorts of controlling techniques are presented in this task.

the active set method (ASM), the inside point technique (IIP), and have been utilized as controlling strategies.

this work distinguishes and depicts the plan decisions identified with a two sorts of controllers and judicious regulator for a dc servo motor.

execution of these regulators has been confirmed through reproduction utilizing Matlab / Simulink programming.

as indicated by the recreation results the comparisons among ASM, IIP.

the tuning strategy was increasingly proficient in improving the progression reaction attributes, for example, decreasing the rise time, settling time and most prominent overshoot in position control of dc servo motor.