Double loop iterative strategies for hierarchical control of industrial processes

Bryds, M.; Roberts, P.D.; Badi, Manjulata; Kokkinos, I.C.; Abdullah, Nik Nairan

doi:10.1016/0005-1098(89)90030-7

Cited by 12 publications

(7 citation statements)

References 13 publications

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“…Nonetheless, the economics of control has gained some focus for example the selection of sensor and actuator [15] and the design of controller structure [16]. Furthermore, optimal steady state operations have been studied [3].…”

Section: Introductionmentioning

confidence: 99%

Profit Maximization of a Power Plant

Kragelund

Leth

Wiśniewski

et al. 2012

European Journal of Control

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Abstract-This paper addresses the problem of profit maximization of a power plant by utilizing three different fuel systems in an optimal manner. Pontryagin's maximum principle is used to derive properties of the optimal control strategy. These properties give rise to a switching function. Subsequently, certain heuristics are introduced and used in combination with discrete optimization to obtain an initial trajectory of the switching function. An iterative procedure is proposed, which uses the initial trajectory for the computation of the optimal control strategy. The control strategy derived is a combination of a state feedback and time-varying feedforward term. Its performance is tested against input noise.

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Section: Introductionmentioning

confidence: 99%

Profit Maximization of a Power Plant

Kragelund

Leth

Wiśniewski

et al. 2012

European Journal of Control

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“…Optimum steadystate operations in such systems have been considered in [6] where an online iterative procedure to calculate the system set-point has been developed. However, the problem of profit optimization and actuator layout have not been considered.…”

Section: Introductionmentioning

confidence: 99%

Selecting actuator configuration for a benson boiler: Production economics

Kragelund

Leth

Wiśniewski

2009

2009 European Control Conference (ECC)

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Abstract-This paper addresses the problem of an optimal actuator configuration in an economic perspective. The objective is to minimize the economical cost of operating a given plant. Functionals encapsulating information of the business objectives given the different actuators have been established with particular focus on a boiler in a power plant operated by DONG Energy -a Danish energy supplier. The problem has been reformulated using mathematic notions from economics. The selection of actuator configuration has been limited to the fuel system which in the considered plant consists of three different fuels -coal, gas, and oil.

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“…Detailed analysis of optimality properties of the solutions of (10) and (II) can be performed in exactly the same manner as by Brdys et al ( , 1989 and the same results can be obtained. This means, what is intuitively obvious: that the optimality properties of the solutions provided by AIOPE strategies are the same as those produced by the ISOPE ones.…”

Section: Preliminariesmentioning

confidence: 73%

“…Based on an existing numerical experience and theoretical knowledge, it seems to be true that in average the model-based double iterative loop strategies using input-output information feedback which have been proposed and investigated by Chen et al (1986) and Brdys et al ( , 1989 are the fastest. For these strategies the iterations are split into two nested loops.…”

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confidence: 98%

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Augmented model-based double iterative loop techniques for hierarchical control of complex industrial processes

Brdyś

Abdullah²,

Roberts

1990

International Journal of Control

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Two novel hierarchical structures are presented which extend the applicability of previous model-based double iterative loop techniques using input-output information feedback to non-convex problems. The techniques incorporate integrated system optimization and parameter estimation, which utilize process measurements to achieve real process optimality in spite of model reality differences. The double iterative loop structures of the proposed algorithms use the real process measurements within the output loops while the inner loops involve model-based computations only. By this means the algorithms use available information from the real process efficiently and a significant reduction in set-point alterations to real subprocesses is achieved. In order to cater for process complexity, the inner loops are organized in the form of two-level hierarchical structures. An applicability of the techniques to non-convex problems is achieved by a suitable convexification of an original process performance index. It is a very important property of the convexification that it preserves two-level decomposibility of the problem. Sufficient conditions for convergence of the augmented techniques are derived. Simulation examples are provided to illustrate the methods.

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Double loop iterative strategies for hierarchical control of industrial processes

Cited by 12 publications

References 13 publications

Profit Maximization of a Power Plant

Profit Maximization of a Power Plant

Selecting actuator configuration for a benson boiler: Production economics

Augmented model-based double iterative loop techniques for hierarchical control of complex industrial processes

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