2018
DOI: 10.1002/asjc.1730
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Economic Optimization and Control Based on Multi Priority Rank RTO and Double Layered MPC

Abstract: A prevailing hierarchical structure in industrial process optimization and control includes three levels, i.e., a real time optimization (RTO) level, a double layered model predictive control (MPC) level (which is composed of a steady-state target calculation (SSTC) layer and a dynamic control layer), and a distributed control level. In this paper, a multi priority rank RTO algorithm, in which a new variable is introduced to uniformly express the set points, is presented to get optimal set points according to … Show more

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Cited by 12 publications
(15 citation statements)
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“…As standard in MPC for tracking set-points literature [1,23], two requirements including set-point tracking and relaxing constraints are considered in MPC. In the present work we extend the formulation presented in [11] to take into account the dynamic constraint as well as the terminal invariant constraints to relax the terminal constraints and ensure dynamic constraints violation minimization for the aim of ensuring feasibility.…”
Section: Design Of Proposed Mpcmentioning
confidence: 99%
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“…As standard in MPC for tracking set-points literature [1,23], two requirements including set-point tracking and relaxing constraints are considered in MPC. In the present work we extend the formulation presented in [11] to take into account the dynamic constraint as well as the terminal invariant constraints to relax the terminal constraints and ensure dynamic constraints violation minimization for the aim of ensuring feasibility.…”
Section: Design Of Proposed Mpcmentioning
confidence: 99%
“…The constraints related to the terminal state and transition steady-state is (8i) and (11) for i ∈ I 1∶p x , resulting in the following condition: (12) which corresponds to (8i) with Optimization problem considers dynamic operation to ensure at least one feasible solution in dynamic control under the aims of target tracking and constraint violation minimum. In addition, compared to the terminal equality constraint in [11], the terminal set constraint proposed in this paper relaxes the terminal constraints and provides larger feasible region. We define the set of feasible control sequence  s N (x, z r ) ∶= {u|∃x (k) s.t.…”
Section: The Optimization Problemmentioning
confidence: 99%
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“…Now we consider the tracking problem of nonlinear system (4). First rewrite the characteristic model (10) in terms of tracking error dynamics.…”
Section: U(k)) Is Equi-globally Asymptotically Stable By Equi-lipschimentioning
confidence: 99%
“…To gain better control performance, many solutions have been advanced in recent years. Model predictive control [2,3,4], optimal control [5,6,7], and output feedback control [8,9] have been successfully employed to tackle the stabilizing or tracking problems of complex nonlinear systems.…”
Section: Introductionmentioning
confidence: 99%