Abstract
This paper investigates model predictive control scheme based on PLS latent space for CO2 transcritical power cycle based waste heat recovery system. First, a control-oriented model is developed for the transcritical CO2 power cycle system. For the sake of solving multi-variable and strong coupling problems of the transcritical CO2 cycle system, model predictive control scheme based on the dynamic PLS approach is adopted and applied to this waste heat recovery system. The experimental results show that the adopted control method shows better performance in disturbance rejection and set-point tracking than PLS-PID control scheme for the CO2 transcritical power cycle system.
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Acknowledgments
The article was supported by China National Science Foundation under Grant (61374052 and 61511130082). These are gratefully acknowledged.
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Zhang, J., Hu, H., Pu, J., Hou, G. (2017). Model Predictive Control Based on the Dynamic PLS Approach to Waste Heat Recovery System. 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_51
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DOI: https://doi.org/10.1007/978-981-10-6364-0_51
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