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大机组汽温控制对象具有大延时、大惯性的特性,采用常规和简单的控制方式难以取得满意效果。文章介绍了一种应用新型SMITH预估控制算法调节火电厂主汽温控制系统的设计方案,阐述了新型SMITH预估控制算法的原理、系统控制策略及结构,并在软件环境下对该系统与采用传统SMITH预估控制算法的控制系统进行了仿真比较。仿真结果表明,基于新型SMITH预估控制算法的主汽温控制系统能够克服大滞后、大惯性的系统特性,具有较强的抗内、外干扰和对象变化适应能力。
Large unit temperature control object has a large delay, high inertia characteristics, the use of conventional and simple control method is difficult to obtain satisfactory results. This paper introduces a new SMITH predictive control algorithm to adjust the thermal power plant main steam temperature control system design, describes the new SMITH predictive control algorithm, the system control strategy and structure, and in the software environment for the system and The control system using the traditional SMITH predictive control algorithm is simulated and compared. The simulation results show that the main steam temperature control system based on the new SMITH predictive control algorithm can overcome the system characteristics of large lag and large inertia and has strong resistance to internal and external disturbance and object adaptability.