Study on the Main Steam Temperature Control System Based on Fuzzy Adaptive Internal Model Control

doi:10.11930/j.issn.1004-9649.201806158

Abstract

Abstract: In this paper, the first order lag model is used as the generalized object model of main steam temperature to design the fuzzy adaptive internal model control based main steam temperature control system. The parameters of the object model are identified under different operation conditions. According to the model parameters and fuzzy adaptive rules, the controller parameters are adjusted automatically. The designed system is simulated and applied in a power plant as well. The results show that, compared with the conventional cascade PID controller and the Smith prediction control, the system has a better control quality when the system operates under load disturbances or with model parameter deviations as well as under different operation conditions.

Key words: thermal power plant, thermal control system, internal model control, fuzzy adaptive control, main steam temperature

CLC Number:

TK323

GUO Ruijun, ZHANG Guobin, JI Yu, LI Xu, DU Ronghua, ZHOU Lei, DANG Shaojia. Study on the Main Steam Temperature Control System Based on Fuzzy Adaptive Internal Model Control[J]. Electric Power, 2018, 51(12): 118-123.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201806158

https://www.electricpower.com.cn/EN/Y2018/V51/I12/118

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