DMC Simulation Source Code Based on Current Values, Predictive Values and Different Control Rates

This document presents a comprehensive DMC (Dynamic Matrix Control) simulation source program and corresponding graphical results based on current values, predictive values, and different control rates. The implementation utilizes matrix-based predictive control algorithms where the core functionality involves constructing dynamic matrices from process step responses. Key components include prediction horizon calculation, control move computation using optimization constraints, and real-time feedback correction mechanisms. The code structure features modular design with separate functions for: setpoint trajectory generation, disturbance modeling, control law optimization with adjustable weighting factors, and graphical output generation for performance analysis. We will examine various aspects of DMC simulation including its theoretical background, control objectives, and industrial applications. The discussion covers both advantages (handling constraints effectively, robust performance) and limitations (computational complexity, model dependency) of DMC strategies. Furthermore, we provide detailed insights into the simulation architecture, demonstrating how to utilize DMC simulations for control system optimization through practical implementation examples, parameter tuning methodologies, and performance evaluation metrics. The included visualization components plot key variables including: manipulated variables, controlled variables, prediction trajectories, and constraint boundaries, enabling users to comprehensively understand the technology and apply it effectively to enhance production efficiency and operational benefits.