【作者】 梅华；

【导师】 孙建平；

【作者基本信息】 华北电力大学 ， 控制理论与控制工程， 2002， 硕士

【摘要】 在对现有的模糊预测控制算法进行了细致分析与比较之后，本文总结了各类模糊预测控制算法的基本原理及其实现形式。然后在前人工作的基础之上，从模糊辨识和预测控制算法两方面入手，根据电厂热工对象的一般特点，提出了一种模糊自适应预测控制算法。与传统控制算法相比较，该算法具有鲁棒性好，实现简单，易于在线调整等优点。最后，将上述模糊自适应预测控制算法应用到电厂主汽温控制当中。仿真试验表明，该主汽温控制方案具有良好的负荷适应性，满足系统设计要求。更多还原

【Abstract】 The principles and implements of the existing fuzzy predictive control methods thoroughly are summarized. And then a fuzzy model-based adaptive predictive control method according to the characters of the thermal engineering processes in power stations is presented based on the analyses of fuzzy identification and a kind of simplified MPC. Compared with the conventional control methods, the proposed one is more robust and simpler for tuning online. At the end of the thesis, the proposed fuzzy adaptive predictive control is employed into an outlet temperature control system for superheaters of a certain boiler unit with 600MW power. The results of simulations show that this temperature control system is well adaptive to the alteration of the unit’s load and meets the deigned requirements. Mei Hua (Control Theory and Control Engineering) Directed by Associate Prof. Sun Jianping更多还原