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Application of the Main Steam Temperature Control Based on Sliding Multi-Level Multi-Model Predictive Control

机译:滑动多级多模型预测控制在主汽温控制中的应用

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摘要

With the rapid development of electric power industry technology in recent years, the main steam temperature control method for large capacity thermal power units, based on the multi-model predictive control method, has become a research hotspot. The main difficulties of the multi-mode predictive control method in the main steam temperature control application are focus on the model switching method, the resisting disturbance abilities and the impact on the control performance of the model predictive control system while the load changed lightly. The main focus of this paper is to redesign the predictive control structure of the main steam temperature system by using multi-level and multi-model structure. This article has divided the model switching area into the lagging area and the sliding switching area. The sliding switch weight values of each prediction model has also been considered and drawn into the control method. A simulation in the ideal environment with using the operation data of the real 60 MW thermal generation model has been done. By analysing the simulation results, the main steam temperature control curves have been smoother and more stable.
机译:近年来,随着电力工业技术的飞速发展,基于多模型预测控制方法的大容量火电机组主要蒸汽温度控制方法已成为研究热点。在主蒸汽温度控制应用中,多模式预测控制方法的主要困难集中在模型切换方法,抵抗扰动能力以及负荷变化很小的情况下对模型预测控制系统的控制性能的影响上。本文的主要重点是通过使用多层次,多模型的结构来重新设计主蒸汽温度系统的预测控制结构。本文将模型切换区域分为滞后区域和滑动切换区域。还已经考虑了每个预测模型的滑动开关权重值,并将其纳入控制方法。使用实际的60 MW热力发电模型的运行数据在理想环境中进行了仿真。通过分析仿真结果,主蒸汽温度控制曲线更加平滑和稳定。

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