Affine Neural Network-Based Predictive Control Applied to a Distributed Solar Collector Field



This paper presents experimental results concerning the control of a distributed solar collector field, where the main objective concerns the regulation of the outlet oil temperature by suitably manipulating the oil flow rate. This is achieved by means of a constrained nonlinear adaptive model-based predictive control framework where the control action sequence is obtained by solving an open-loop optimization problem, subject to a set of constraints. The plant dynamics is approximated by an affine state-space neural network, whose complexity is specified in terms of the cardinality of dominant singular values associated with a subspace oblique projection of data-driven Hankel matrices. The neural network is first trained offline and subsequently improved through a recursive updating of its weights and biases, based on a dual unscented Kalman filter. The control scheme is implemented on the Acurex field of the Plataforma Solar de Almería, Spain. Results from these experiments demonstrate the feasibility of the proposed framework, and highlight the ability to cope with time-varying and unmodeled dynamics, under the form of disturbances, and its inherent capability for accommodating actuation faults.


Terms—Model-based predictive control, adaptive control, constrained optimization, affine state-space neural networks, online training, unscented Kalman filter, distributed solar collector field.


Control Systems Technology, IEEE Transactions on, Vol. 22, #2, pp. 585-596, IEEE Control Systems Society, March 2014

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Year 2016 : 4 citations

 Shen, Ling, et al. "Temperature uniformity control of large-scale vertical quench furnaces for aluminum alloy thermal treatment." IEEE Transactions on Control Systems Technology 24.1 (2016): 24-39.

 Zhang, Zhen, Cheng Ma, and Rong Zhu. "Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules." Sensors 16.10 (2016): 1709.

 Andonovski, Goran, et al. "Robust evolving cloud-based control for the distributed solar collector field." Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on. IEEE, 2016.

 Xiang, Kui, et al. "Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems." IEEE Access 4 (2016): 3300-3309.

Year 2015 : 2 citations

 Temperature Uniformity Control of Large-Scale Vertical Quench Furnaces for Aluminum Alloy Thermal Treatment
L Shen, J He, C Yang, W Gui, H Xu -
Abstract—The thermal treatment of aluminum alloy workpieces requires strict temperature
uniformity in largescale vertical quench furnaces. To achieve the desired temperature
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 Generalized Predictive Control of Temperature on an Atomic Layer Deposition Reactor
WJ He, HT Zhang, Z Chen, B Chu, K Cao, B Shan… -
Abstract—This brief establishes a closed-loop control system for a radiant heating atomic
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closed-loop control system can rapidly and precisely stabilize the temperature in the ...

Year 2014 : 1 citations

 Zhang, Ridong, and F. Gao. "Temperature control of industrial coke furnace using novel state space model predictive control." (2014).