Abstract
In this paper, an adaptive model predictive controller for overheating steam temperature control of thermal power plants is designed, which is based on the control object with large delay, large inertia, nonlinearity and strong time-varying properties. Through the on-line identification and control of different models, compared with predictive controllers in a general model, in terms of adjusting the superheat steam temperature, it can shorten adjusting time drastically, reduce even eliminate the overshoot and improve the dynamic performance greatly when applying in adaptive model predictive controller. The results show that the adaptive model predictive controller, because of its simple implementation, can be used in power plants, and also can be applied to solve similar problems, which has a broad application prospects.
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Acknowledgements
This work was partially supported by National Natural Science Foundation of China, Grant No. 61503237, Shanghai Natural Science Foundation (No. 15ZR1418300), Shanghai Key Laboratory of Power Station Automation Technology (No. 13DZ2273800).
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Qian, H., Feng, Yq., Zheng, Zb. (2017). Design of Adaptive Predictive Controller for Superheated Steam Temperature Control in Thermal Power Plant. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_41
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DOI: https://doi.org/10.1007/978-981-10-6364-0_41
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