Decentralised and hierarchical control of interconnected uncertain systems

Bahnasawi, Ahmed A.; Al-Fuhaid, A.S.; Mahmoud, Magdi S.

doi:10.1049/ip-d.1990.0039

Cited by 18 publications

(8 citation statements)

References 12 publications

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“…The objective here is to define a set of subproblems that can be considered independent at a certain level (subsystem level). Through the manipulation of the interplaying effect at a higher level (coordinator), the global solution is obtained [6]. The concept of multilevel control can be implemented by decomposing the hierarchical controller into a set of controllers at different levels.…”

Section: Supervisory Level Control In Power Systemsmentioning

confidence: 99%

Making the power grid more intelligent

Mohagheghi

Harley

Venayagamoorthy

2007

2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability

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Section: Supervisory Level Control In Power Systemsmentioning

confidence: 99%

Making the power grid more intelligent

Mohagheghi

Harley

Venayagamoorthy

2007

2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability

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“…, m, whose output variablesû i 's coincide with the inputs u f i 's of system (1). The control objective consists of achieving a stabilizing control law for the cascade interconnection of systems (1) and (2) which is also suitable to handle modifications in the actuation equipment. To this end, we propose a twolevel hierarchical regulator.…”

Section: Problem Formulationmentioning

confidence: 99%

“…[3], [6], [2]. Hierarchical control for the coordination of a number of local controllers has been considered in [5], [1], [10]. Finally, cascade control schemes (see e.g.…”

Section: Introductionmentioning

confidence: 99%

On the design of reconfigurable two layer hierarchical control systems with MPC

Vito

Picasso

Scattolini

2010

Proceedings of the 2010 American Control Conference

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This paper deals with the design of a hierarchical two-layer controller. At the high level, a robust MPC regulator works at a slow frequency rate and computes the ideal control signals needed to suitably control the plant. At the low level, a number of already controlled actuators drive the plant at a faster time rate and track the desired control signals as accurately as they can, in accordance to their dynamics. The discrepancy between the ideal control actions computed at the high level and those actually provided to the plant gives rise to a robustness issue for the overall control system. To tackle this problem, we propose to model such a discrepancy as a disturbance term to be rejected in the design of the high level controller by means of the small-gain approach. Moreover, setting an optimization procedure at each time step, the proposed algorithm also allows for an easy reconfiguration of the control system in the occurrence of an actuator addition/replacement.

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“…Since P j (i) = ( ) t j P t > 0, i ∈ S, j ∈ {1, …, n s } and the n s -pairs {C j (i), A j (i)}, i ∈ S, j ∈ {1, …, n s } are decentrally observable, the stochastic stability of the interconnected closed-loop systems follows from the results of [3]. The H ∞ -performance ||z j (t)|| E 2 < γ ||w j (t)|| 2 for all nonzero w j (t) ∈ L …”

Section: T X T G T I F T I P T I B T I R T I R T I U T R T I F T I G mentioning

confidence: 99%

“…Problems associated with decentralized control and stabilization of interconnected systems are receiving considerable interests [1][2][3][4][5][6][7][8] where most of the effort are focused on dealing with the interaction patterns and performing the control analysis and design on the subsystem level. Most of the time, dynamical systems are subject to frequent unpredictable structural changes.…”

Section: Introductionmentioning

confidence: 99%