Paper Info
Title
Affine Neural Network-Based Predictive Control Applied to a Distributed Solar Collector Field
Abstract
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.
Year
DOI
Venue
2014
10.1109/TCST.2013.2260545
Control Systems Technology, IEEE Transactions  
Keywords
DocType
Volume
Kalman filters,adaptive control,flow control,neurocontrollers,nonlinear control systems,nonlinear filters,open loop systems,optimisation,predictive control,solar absorber-convertors,temperature control,time-varying systems,affine neural network-based predictive control,constrained nonlinear adaptive model-based predictive control,data-driven Hankel matrices,distributed solar collector field,dual unscented Kalman filter,oil flow rate manipulation,open-loop optimization problem,outlet oil temperature regulation,subspace oblique projection,time-varying dynamics,unmodeled dynamics,Adaptive control,affine state-space neural networks,constrained optimization,distributed solar collector field (DSC),model-based predictive control (MPC),online training,unscented Kalman filter
Journal
22
Issue
ISSN
Citations 
2
1063-6536
9
PageRank 
References 
Authors
0.68
11
4
Name
Order
Citations
PageRank
Paulo Gil19318.03
J Henriques23314.56
Alberto Cardoso311529.40
Paulo Carvalho425047.68