Article (Scientific journals)
Virtual sensor fusion for high precision control
Verma, Mohit; Dehaeze, Thomas; Guoying, Zhao et al.
2021In Mechanical Systems and Signal Processing
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Keywords :
Sensor Fusion; Precision; Vibration Isolation
Abstract :
[en] High performance control requires high loop gain and large control bandwidth. However, the spurious resonances at the higher frequencies can limit the performance of such type of systems. This drawback can be overcome by using sensor fusion technique. In sensor fusion, two or more sensors are combined in synergy such that good performance is achieved at lower frequencies while ensuring robustness of the system at higher frequen- cies. This paper presents a new technique, termed as ‘‘virtual sensor fusion”, in which only one of the sensors is physically installed on the system while the other sensor is simulated virtually. The virtual sensor is selected based on desired high frequency response. The effectiveness of the proposed technique is demonstrated numerically for a case of active seismic isolation. A robustness analysis of virtual sensor fusion is also carried out in order to study its stability in the presence of spurious resonances. Finally, the technique is exper- imentally verified on active isolation of pendulum system from ground motion. The results obtained demonstrate good isolation performance at lower frequencies and robustness to plant uncertainties (spurious resonances) at higher frequencies. This technique can be effectively used for high precision control of sensitive instruments.
Disciplines :
Mechanical engineering
Author, co-author :
Verma, Mohit;  CSIR - Structural Engineering Research Center, Taramani
Dehaeze, Thomas ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Active aerospace struct. and adv. mecha. systems
Guoying, Zhao
Watchi, Jennifer
Collette, Christophe  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Active aerospace struct. and adv. mecha. systems
Language :
English
Title :
Virtual sensor fusion for high precision control
Publication date :
2021
Journal title :
Mechanical Systems and Signal Processing
ISSN :
0888-3270
eISSN :
1096-1216
Publisher :
Elsevier, Atlanta, Georgia
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 30 September 2020

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