2019
DOI: 10.1002/asjc.1967
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Mixed Logical Dynamical Nonlinear Model Predictive Controller for Large‐Scale Solar Fields

Abstract: This paper presents a control algorithm for reducing heat losses caused by clouds in large solar fields. The formulation is based on a Mixed Logical Dynamical (MLD) representation of the solar field plus the application of a Practical Nonlinear Model Predictive Controller (PNMPC) for calculating the optimal control action. The main purpose of the controller is to deactivate fields with inlet temperature greater than outlet temperature and to manipulate the oil flow rate of the activated fields for tracking the… Show more

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Cited by 7 publications
(1 citation statement)
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“…In particular, application of an antiwindup scheme or controller switching technique could potentially cause substantial performance degradation [11][12][13][14][15][16][17][18]. In addition, [19][20][21][22] utilized a nonlinear model predictive control (MPC) approach to resolve the hard constrained control problems, but with significantly increased control complexity due mainly to the high computational cost. Therefore, for practical control applications, there is still a need to develop an efficient control strategy that is best suited for real-time control implementation for systems with hard constraints.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, application of an antiwindup scheme or controller switching technique could potentially cause substantial performance degradation [11][12][13][14][15][16][17][18]. In addition, [19][20][21][22] utilized a nonlinear model predictive control (MPC) approach to resolve the hard constrained control problems, but with significantly increased control complexity due mainly to the high computational cost. Therefore, for practical control applications, there is still a need to develop an efficient control strategy that is best suited for real-time control implementation for systems with hard constraints.…”
Section: Introductionmentioning
confidence: 99%