MATLAB Implementation of Predictive Control Using DMC Algorithm

In my predictive control implementation using MATLAB programming language, the core component employs the Dynamic Matrix Control (DMC) model, an advanced control algorithm widely adopted in industrial applications. The algorithm functions by establishing a mathematical model of the target system and performing predictive calculations to achieve precise system control. The code implementation involves step-response matrix construction, multi-step prediction calculations, and rolling optimization using quadratic programming. The controlled object in this implementation is a large inertia system, a common control challenge in industrial processes. For such systems, the DMC model enables better state estimation through its prediction horizon mechanism and delivers more accurate control responses by solving optimization problems that minimize future errors while respecting control constraints. The MATLAB code utilizes built-in optimization functions and matrix operations to efficiently handle the computational demands of real-time predictive control.