Application Studies Of Multi-variable Model Predictive Control Technology

Model Predictive Control has gained rapid development both in theory and in industrial applications ever since it came into being in 1970's. Over the past decades, MPC has established itself in industry as an important form of andvanced control. Predictive Control is regarded as the most promising and advanced control algorithm. Many big companies have embedded it into control system. However, predictive control scarcely applied in many medium-sized and pint-sized control systems. Because the predictive algorithm needs much more skilled engineers than that of PID controllers, moreover, predictive algorithm needs more calculations. So aiming at the characters of the process control system, the paper researches and develops the low-cost predictive control software for simulations and real-time controls and proceeds the application study.Its main contents are as follows:1. It introduces the sulfuric acid craft of burned copper smoke system and the object character. At the same time, it obtaines the object model.2. As one MPC algorithm, dynamic matrix control is discussed in detail. And the principals of multi-step predictive dynamic matrix control and MIMO dynamic matrix control are talked in this part.3. With the burned copper smoke system has the sulfuric acid craft forresearch object. Based on acquiring the process object model of the sulfuric acid craft, we proceed the application of the software imitates true research according to MIMO dynamic matrix control. We did much experiment research of the parameter variety and the interference did to the influence of the system function. And it expresses the usefulness of its estimate control calculateway with the applicability.4. We uses VC++ to develop the MIMO dynamic matrix control software. The software can in general usely merge simulation and controlling together .5. The research of this thesis provides a kind of effective way for resolving multiple parameter control in industry process. And it offers the foundation for how to realize the MPC algorithm in industry control software.6. At last it summaries the text and outlooks the development direction and future foreground of the MPC algorithm.