Adaptive Energy-based Bilinear Control of First-Order 1-D Hyperbolic PDEs: Application to a One-Loop Parabolic Solar Collector Trough
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ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2017-12-14Online Publication Date
2017-12-14Print Publication Date
2018-01Permanent link to this record
http://hdl.handle.net/10754/626404
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In this paper, the adaptive bilinear control of a first-order 1-D hyperbolic partial differential equation (PDE) with an unknown time-varying source term is investigated where only boundary measurements are available. By means of boundary injection, the bilinear adaptive law is developed in the Lyapunov approach. It consists of a state observer and an input adaptation law combined with a bilinear control method derived using an energy-like principle. Both global asymptotic practical convergence of the tracking error and input-to-state stability of the system are guaranteed. A potential application of this control strategy is the one-loop solar collector parabolic trough where the solar irradiance is the unknown input (source term) and the flow rate is the control variable. The objective is to drive the boundary temperature at the outlet to track a desired profile. Simulation results are provided to illustrate the performance of the proposed method.Citation
Mechhoud S, Laleg-Kirati T-M (2017) Adaptive Energy-based Bilinear Control of First-Order 1-D Hyperbolic PDEs: Application to a One-Loop Parabolic Solar Collector Trough. Journal of the Franklin Institute. Available: http://dx.doi.org/10.1016/j.jfranklin.2017.12.003.Sponsors
Research reported in this publication has been supported by the King Abdullah University of Science and Technology (KAUST). The authors are very thankful to the anonymous reviewers and to the Associate Editor for their valuable comments which helped improving the presentation.Publisher
Elsevier BVAdditional Links
http://www.sciencedirect.com/science/article/pii/S0016003217306348ae974a485f413a2113503eed53cd6c53
10.1016/j.jfranklin.2017.12.003