Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm
1
School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
2
School of Energy and Environment Engineering, Southeast University, Nanjing 210096, China
3
Department of Electrical & Computer Engineering, Baylor University, Waco, TX 76798, USA
*
Authors to whom correspondence should be addressed.
Sustainability 2019, 11(18), 5102; https://doi.org/10.3390/su11185102
Received: 25 July 2019 / Revised: 13 September 2019 / Accepted: 14 September 2019 / Published: 18 September 2019
(This article belongs to the Special Issue Advanced Computational Intelligence for Data Analytics, Modeling, Control and Optimisation of Sustainable Energy Systems)
This paper proposes a nonlinear model predictive control (NMPC) strategy based on a local model network (LMN) and a heuristic optimization method to solve the control problem for a nonlinear boiler–turbine unit. First, the LMN model of the boiler–turbine unit is identified by using a data-driven modeling method and converted into a time-varying global predictor. Then, the nonlinear constrained optimization problem for the predictive control is solved online by a specially designed immune genetic algorithm (IGA), which calculates the optimal control law at each sampling instant. By introducing an adaptive terminal cost in the objective function and utilizing local fictitious controllers to improve the initial population of IGA, the proposed NMPC can guarantee the system stability while the computational complexity is reduced since a shorter prediction horizon can be adopted. The effectiveness of the proposed NMPC is validated by simulations on a 500 MW coal-fired boiler–turbine unit.
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Keywords:
model predictive control (MPC); local model network (LMN); immune genetic algorithm (IGA); boiler–turbine unit
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MDPI and ACS Style
Zhu, H.; Zhao, G.; Sun, L.; Lee, K.Y. Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm. Sustainability 2019, 11, 5102. https://doi.org/10.3390/su11185102
AMA Style
Zhu H, Zhao G, Sun L, Lee KY. Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm. Sustainability. 2019; 11(18):5102. https://doi.org/10.3390/su11185102
Chicago/Turabian StyleZhu, Hongxia; Zhao, Gang; Sun, Li; Lee, Kwang Y. 2019. "Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm" Sustainability 11, no. 18: 5102. https://doi.org/10.3390/su11185102
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