An advanced criterion for optimal actuator and sensor placement on complex flexible structures

Westermayer, Christian; Schirrer, Alexander; Hemedi, Mark; Kozek, Martin

doi:10.3182/20090506-3-sf-4003.00021

Cited by 8 publications

(8 citation statements)

References 8 publications

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“…Two existing methodologies for actuator and sensor positioning criteria are considered in the following: one is proposed by Gawronski [2], the other is proposed by the authors in [7].…”

Section: Energy-based Positioning Criteriamentioning

confidence: 99%

“…An extended positioning criterion has been proposed by the authors in [7] that combines features of criteria proposed in [2,6,12]. It adds the requirement that a set of modes be controllable or observable to result in a nonzero criterion value.…”

Section: Proposed Combinedmentioning

confidence: 99%

“…For the actuator positioning task, the positioning indices σ act (see (15)), π act (see (19)) and the LQG closed-loop validation index η LQG (see (23) , combined index π act from (19) [7], and LQG index η LQG from (7).…”

Section: Actuator Positioningmentioning

confidence: 99%

“…The applied system weightings are comprised of a modewise input weighting to capture the excitation spectrum and a modewise output weighting that reflects the modal contributions in the performance output formulations. Additionally, a set of sensors with low modegain correlation across all mass cases are found through , combined index π act from (19) [7], and LQG index η LQG from (23).…”

Section: Sensor Positioning Optimizationmentioning

confidence: 99%

“…The evaluation criteria proposed in [2,6] assess state controllability and observability in a weighted sense. They are combined into a recently proposed criterion to exploit their individual advantages [7].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Actuator and Sensor Positioning Optimization in Control Design for a Large BWB Passenger Aircraft

Schirrer

Westermayer

Hemedi

et al. 2011

ISRN Mechanical Engineering

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This paper states an approach to actuator and sensor positioning optimization and design in the control system design of a large blended wing body (BWB) passenger aircraft. Numerous objectives have to be achieved by the control system: loads alleviation, vibration attenuation, and the fulfillment of handling quality requirements. Exploiting the system structure and existing system knowledge (excitation, comfort, and load formulations), evaluation criteria are designed to assess actuator and sensor effectiveness and efficiency for the aircraft dynamic range of interest. The tasks of optimal actuator and sensor positioning, actuator sizing, and actuator bandwidth requirements are investigated, whereby solutions that are robust are sought with respect to parameter variations. The results are shown on a BWB passenger aircraft model and verified using a normalized closed-loop performance assessment approach.

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“…Two existing methodologies for actuator and sensor positioning criteria are considered in the following: one is proposed by Gawronski [2], the other is proposed by the authors in [7].…”

Section: Energy-based Positioning Criteriamentioning

confidence: 99%

Section: Proposed Combinedmentioning

confidence: 99%

Section: Actuator Positioningmentioning

confidence: 99%

Section: Sensor Positioning Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Actuator and Sensor Positioning Optimization in Control Design for a Large BWB Passenger Aircraft

Schirrer

Westermayer

Hemedi

et al. 2011

ISRN Mechanical Engineering

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Sensor and actuator optimal location for robust control of a galvanizing process.

et al. 2021

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Comparison of LQ-optimal actuator / sensor selection approaches for flexible structure systems

Hemedi¹,

Schirrer²,

Kozek³

2012

AIP Conference Proceedings

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Articles you may be interested inMulti-rate optimal controller design for electromagnetic suspension systems via linear matrix inequality optimization Abstract. In active control of flexible structures, the optimal selection of actuating and measurement positions on the structure is a prerequisite to enable effective control design. This paper compares two selection onsets based on the LQG control problem formulation. Although the two selection onsets differ considerably in their idea, it is shown at a classical bending beam example that they produce consistent results. The methods' characteristics are discussed and outlined, providing a guideline for their applicability in practice. The first onset, published in [11], utilizes the LQG formalism and efficient tuning parameter search to design tuned LQG controllers for each candidate actuator / sensor. Thereby, a normalized performance index can be formulated which reflects the efficiency of actuation / measurement. This very general onset has been shown to produce reliable results in numerically challenging industrial problems and is easily extended to sets of linearized systems of nonlinear plants. The strategy presented in [3] reformulates the LQG design problem into a sensor (actuator) cost minimization problem subject to LMI constraints which implement the corresponding Riccati equations and coupling conditions. A numeric example for this method is given in the present paper for the first time which shows strong discrimination of non-optimal actuator / sensor positions. Both methods are compared at a bending beam input selection task, highlighting each method's major advantages and limitations.

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An advanced criterion for optimal actuator and sensor placement on complex flexible structures

Cited by 8 publications

References 8 publications

Actuator and Sensor Positioning Optimization in Control Design for a Large BWB Passenger Aircraft

Actuator and Sensor Positioning Optimization in Control Design for a Large BWB Passenger Aircraft

Sensor and actuator optimal location for robust control of a galvanizing process.

Comparison of LQ-optimal actuator / sensor selection approaches for flexible structure systems

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