Multilevel Approach Applied to Control System Design

Lefkowitz, I.

doi:10.1115/1.3645868

Cited by 63 publications

(18 citation statements)

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“…There was no such a distinction made in the previous literature, see, e.g., the research of Lefkowitz (1966), Mesarović et al (1970) or Findeisen et al (1980). It was the development of computer technology that enabled the realization of more computationally demanding advanced control algorithms based on process models, such as the popular DMC algorithm and other MPC type algorithms, leading to a separation of a dedicated supervisory feedback control layer.…”

Section: Introductionmentioning

confidence: 64%

Supervisory predictive control and on-line set-point optimization

Tatjewski¹

2010

International Journal of Applied Mathematics and Computer Science

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The subject of this paper is to discuss selected effective known and novel structures for advanced process control and optimization. The role and techniques of model-based predictive control (MPC) in a supervisory (advanced) control layer are first shortly discussed. The emphasis is put on algorithm efficiency for nonlinear processes and on treating uncertainty in process models, with two solutions presented: the structure of nonlinear prediction and successive linearizations for nonlinear control, and a novel algorithm based on fast model selection to cope with process uncertainty. Issues of cooperation between MPC algorithms and on-line steady-state set-point optimization are next discussed, including integrated approaches. Finally, a recently developed two-purpose supervisory predictive set-point optimizer is discussed, designed to perform simultaneously two goals: economic optimization and constraints handling for the underlying unconstrained direct controllers.

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Section: Introductionmentioning

confidence: 64%

Supervisory predictive control and on-line set-point optimization

Tatjewski¹

2010

International Journal of Applied Mathematics and Computer Science

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“…Although much emphasis in research has been on techniques capable of handling individual sections of a total network, there is clearly a need for a unified approach to the automatic control of the whole system. Such a unified theory for general systems has been postulated by Lefkowitz,1 and considered in electrical power systems. 2 ' 3 The work presented here provides such a theory for water-supply systems.…”

Section: Introductionmentioning

confidence: 99%

Hierarchial model for water-supply-system control

Fallside¹,

Perry²

1975

Proc. Inst. Electr. Eng. UK

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The paper describes a hierarchical approach to the online control of a large water-supply scheme. The approach is based on the concept of decomposing the original control problem into a set of interacting subproblems, which are easier to handle, and within which control effort is subdivided into a hierarchy of control functions of ascend-• ing complexity. The scheme provides a suitable framework for the overall control of a water-supply network including optimal pumping control, short term demand forecasting and anomalous-load detection, all performed online on acentral computer and implemented on the plant via a telemetry scheme. The authors are working on a collaborative university-industry project for the introduction of such a hierarchical computer control scheme for a UK water-supply system. The details of each of the layers of control are described and the proposed implementation via linked computers is discussed. The primary effort of the paper is in the presentation of a unified approach to the online control of water-supply systems and the practical application of the scheme to a real network problem.

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“…For references on multilayer and hierarchical systems, see Lefkowitz (1966Lefkowitz ( ,1982, Mesarovic et al (1970),Findeisen et al (1980 and Malakooti (1989a). The machining process is complex.…”

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confidence: 97%

An interactive on-line multi-objective optimization approach with application to metal cutting turning operation

Malakooti

1991

International Journal of Production Research

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An on-line supervisory computer control model for optimization of multiple objectiveprogramming problems is developedand applied to machining problems. Specifically, the turning operation is formulated and solved by the approach. For the first time, the characteristics of on-line multi-objective problems are described and an approach for solving such problems is developed. The proposed system maintains feasibility of operations and optimizesobjectives based on the machine performance and on-line interactions with the decision-maker (DM). The model is hierarchical and consists of two levels: level I is designed to protect automated machinery and the workpiece by monitoring the process outputs; and level 2 is designed to optimize the on-line multi-objective problem. The tasks of both levels are accomplished by on-linemonitoring and control of changes in processoutputs via real-time information provided by sensors. The recommended parameters, obtainable from the multi-objective optimization approach, are used to create and update a database for machinability problems for future use. An example is discussed.

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Multilevel Approach Applied to Control System Design

Cited by 63 publications

References 0 publications

Supervisory predictive control and on-line set-point optimization

Supervisory predictive control and on-line set-point optimization

Hierarchial model for water-supply-system control

An interactive on-line multi-objective optimization approach with application to metal cutting turning operation

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