The Adaptive Fuzzy Control System for Main Steam Temperature Based on Smith Predictor

doi:10.11930/j.issn.1004-9649.201711243

Abstract

Abstract: Due to the large time-delay, high inertia and model uncertainty of the main-stream temperature object in fossil-fired power station, it is difficult to achieve satisfactory results with conventional cascade PID control. In this paper, in combination with the fuzzy theory and Smith prediction technology, a new fuzzy adaptive control system for main steam temperature based on multi-model and Smith predictor is proposed, in which by virtue of Smith predictor the inner loop generalized controlled object is estimated and then a fuzzy adaptive controller is applied to control the generalized controlled object. This control system is simple to be implemented with satisfactory self-adaptability to various operating conditions. Furthermore, from the simulation results under five different conditions this control system exhibits strong robustness and anti-disturbance capabilities. In addition, the control method can be applied with easiness in the existing distributed control system and fieldbus control system without extra hardware investment, which has higher value of engineering applications.

Key words: main stream temperature, fuzzy adaptive, Smith predictor, system simulation, multiple model control

CLC Number:

TP273

PING Yuhuan, GUAN ZHimin, LI Zongyao. The Adaptive Fuzzy Control System for Main Steam Temperature Based on Smith Predictor[J]. Electric Power, 2018, 51(11): 9-14.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201711243

https://www.electricpower.com.cn/EN/Y2018/V51/I11/9

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