Abstract
The heavy-duty gas turbine system has an excellent energy conversion rate, which can not only significantly improve the power generation efficiency and reduce environmental pollution, but also help to adjust the peak-to-valley difference of the power grid and optimize the energy structure. However, the heavy-duty gas turbine system has the characteristics of nonlinearity and strong coupling. It is a challenge to establish a safe, stable and fast-tracking control system. To this end, this paper establishes a dynamic simulation model for the GE 9FA heavy-duty gas turbine. The state space model with two inputs and two outputs is identified by the subspace identification method. Augmented state space model is used to design predictive control. Under a variety of disturbance conditions, it is proved that the controller designed in this paper has good disturbance rejection ability and robustness compared with the traditional PID controller, and can achieve the expected control effect.
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Acknowledgment
This work is supported by the National Science and Technology Major Project of China (2017-I-0002–0002).
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Li, S., Sun, S., Xue, Y., Sun, L. (2022). Dynamic Modeling and Predictive Control of Heavy-Duty Gas Turbines. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_36
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DOI: https://doi.org/10.1007/978-981-19-9195-0_36
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