Regulating the system constraints in optimal control using predictive regulator

Abstract

Abstract The use of Predictive Regulator in the modern control system presents the forecast vision of the outcomes arriving in coming of time. It uses the finite skyline of optimization. The Predictive Regulator be revealed in non-linear system by Non-Linear Predictive Control (NPC) algorithm. Using NPC a set of non-linear equations are introduced in terms of the optimality condition to the system and the optimal solution of these equations are linearized by analytic control law. At each discrete value of time, the parameter of the regulator is optimised from the effective oncoming value from the set of predictive samples. After successfully implement this, the parameter would follow the same procedure at the next discrete value of time. In this way, the total predictive method is optimised continually.

Keywords

• Linear programming methodology
• Weighting function
• Vector differential equation
• Matrix composition method
• Optimization toolkit