Balanced actuator and sensor placement for flexible structures

Gawroński, W.; Lim, Kyong B.

doi:10.1080/00207179608921690

Cited by 61 publications

(37 citation statements)

References 26 publications

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“…Candidate IO sets with large HSVs are preferred in Samar and Postlethwaite (1994). HSVs also form the basis for IO selection in Gawronski and Lim (1996) and Lim (1997), but they employ special properties of #exible structures. As in Fig.…”

Section: Controllability and Observability In A Quantitative Sensementioning

confidence: 99%

A review of methods for input/output selection

2001

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Control system design involves input/output (IO) selection, that is, decisions on the number, the place, and the type of actuators and sensors. The choice of inputs and outputs a!ects the performance, complexity, and costs of the control system. Due to the combinatorial nature of the selection problem, systematic methods are needed to complement one's intuition, experience, and physical insight. This paper reviews the currently known IO selection methods, which aids the control engineer in picking a suitable method for the problem at hand. The methods are grouped according to the control system property that is addressed and applications are grouped according to the considered control systems. A set of criteria is proposed that a good IO selection method should possess. It is used to assess and compare the methods and it could be used as a guideline for new methods. The state of the art in IO selection is sketched and directions for further research are mentioned.

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Section: Controllability and Observability In A Quantitative Sensementioning

confidence: 99%

A review of methods for input/output selection

2001

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“…The method allows for independence between the number of selected sensors and modes. Other gramian based methods for actuator and sensor selection are mentioned in [7][8][9]. There exist many more methods for optimal sensor placement, far too many to mention in this paper.…”

Section: Introductionmentioning

confidence: 99%

Redundant Information Rejection in Sensor Localisation Using System Gramians

Gibanica

Abrahamsson

Kammer

2016

Topics in Modal Analysis &Amp; Testing, Volume 10

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Sensors placement is important in vibration testing. The method of effective independence, recently extended to account for triaxial sensors, is widely used for this purpose in case a finite element model of the structure is available. In this paper a criteria is added to reject redundant information that usually arises in symmetric structures or finite element models with high candidate sensor density. A sensor placement strategy is proposed in which, initially, the method of effective independence is used to select the best sensors from a candidate set by maximising the Fisher information matrix determinant. Next, the gramians of a balanced realisation is used to compare the information between systems consisting of only previously added sensors to the final set with systems of the previous and candidate sensors. Sensors with redundant information will have negligible effect on the gramian and can be rejected. The method is fast, as gramians of systems with only one or two outputs are evaluated. It is sub-optimal in the sense that all possible sensor placement combinations are not evaluated for optimality. A test case, consisting of a rectangular plate, is presented, but the method has been used on a large scale industrial model with good results.

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“…Locations of piezoelectric sensors and actuators may influence the controllability and observable properties of a system, and have significant influence on the control performance. There has been numerous research for the optimal placement of actuators and sensors for smart structures [21][22][23][24][25][26][27][28]. A typical solution to the location problem is found through a search procedure, for large number of locations, the search is overwhelming and time consuming and not necessarily the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

“…A typical solution to the location problem is found through a search procedure, for large number of locations, the search is overwhelming and time consuming and not necessarily the optimal solution. Gawronski et al [21] solved the placement problem in balanced coordinates, using the properties of balanced flexible structures. Gawronski [22] presented a method of optimal placement by using H 2 /H ∞ norm index.…”

Section: Introductionmentioning

confidence: 99%

Experimental Comparison Research on Active Vibration Control for Flexible Piezoelectric Manipulator Using Fuzzy Controller

Wei

Qiu

Han

et al. 2009

J Intell Robot Syst

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Space manipulators are flexible structures. Vibration problem will be unavoidable due to motion or external disturbance excitation. Model based control methods will not maintain the required accuracy because of the existence of nonlinear factors and parameter uncertainties. To solve these problems, fuzzy logic control laws with different membership function groups are adopted to suppress vibrations of a flexible smart manipulator using collocated piezoelectric sensor/actuator pair. Also, dual-mode controllers combining fuzzy logic and proportional integral control are designed, for suppressing the lower amplitude vibration near the equilibrium point significantly. Experimental comparison research is conducted, using fuzzy control algorithms and the dual-mode controllers with different membership functions. The experimental results show that the adopted fuzzy control algorithms can substantially suppress the larger amplitude vibration; and the dual-mode controllers can also damp out the lower amplitude vibration significantly. The experimental results demonstrate that the proposed fuzzy controllers and dual-mode controllers can suppress vibration effectively, and the optimal placement is feasible.

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Balanced actuator and sensor placement for flexible structures

Cited by 61 publications

References 26 publications

A review of methods for input/output selection

A review of methods for input/output selection

Redundant Information Rejection in Sensor Localisation Using System Gramians

Experimental Comparison Research on Active Vibration Control for Flexible Piezoelectric Manipulator Using Fuzzy Controller

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