基于信息融合理论的超临界机组容错控制

The efficiency of supercritical power plant may be up to about 45%, and will take a major role in the electric networks of this century. The supercritical power plant uses once-through boiler. Because of the tremendous differences of the water property between supercritical and subcritical pressure, the dynamic behavior of the supercritical power plant heavily depends on the inner and outer disturbance, setpoint and in particular on changes in the operating conditions. And it is characterized by nonlinear, time-variant and strong cross coupling of the input variables. In practice the performance in boiler control exhibits a poor sluggish dynamics behavior. The reliability and economic of a power plant heavily depend upon its control system. the reliability and performance is a bottleneck for improving the reliability and economic of a supercritical power plant..As for the control of the complex system, a key aspect is the accuracy and reliability of the signal measured. However, in practice, the work of the sensor may be not work properly, for instance, the measurement results of a sensor may be error, or the response may become sluggish, or out of work at all. This project attempts to provide a general method to solve the problem based on data-fusion theory. Through make full use of complementary knowledge contained in the information from different sources, we could increase the robustness and fault tolerant control system. .This project analyses the characteristics of the important state of the plant, provide new method of frequency domain data fusion method and space data fusion. Based on these methods, a new feedback signal was found. The performance of the system may be increased significantly by using this method. Further more, the architectures and implementation of the fault tolerant are also discussed..The theory and method obtained from this projects are not only be of great use for the thermal control, but also be valuable for the control of other complex objects and distributed systems. The data fusion algorithm proposed in this project is a general method. The application of this method has been considered in the control of a ramjet engine.

信息融合是90年代迅速发展的新兴理论，可利用互补的多源信息提高系统的容错性和鲁棒性，广泛应用于军事等领域。本项目首次将信息融合理论引入热工控制领域，对超临界机组重要状态信息进行信息融合，实现优点互补和容错，能显著提高超临界机组控制系统的动态性能和可靠性。本项研究对我国下世纪发展超临界机组是必要的技术准备。......