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Local tuning and power requirements of a multi-input multi-output decentralised velocity feedback with inertial actuators

Local tuning and power requirements of a multi-input multi-output decentralised velocity feedback with inertial actuators
Local tuning and power requirements of a multi-input multi-output decentralised velocity feedback with inertial actuators
This paper discusses the tuning of multiple decentralised velocity feedback units for broadband vibration control on a plate using inertial actuators. An analysis of the performance is presented in terms of maximising the mechanical power absorbed and of the control effort, defined by the electrical power in the control units, and the results are validated numerically. Two inertial actuators are mounted on an experimental plate, and driven with control currents proportional to the measured local velocities of the plate, collocated with the actuators. Tuning is compared by using either the measurement of kinetic energy of the plate, or the mechanical power absorbed by the control units from the plate. It is found that the mechanical power absorbed can be used as a local cost function to tune the control units, as an alternative to the kinetic energy, not only when reactive actuators are used, but also when inertial actuators are in use. In this way, the tuning process is greatly simplified, since the mechanical power absorbed can be measured directly from the feedback velocity signal and a knowledge of the actuators dynamics, without further information on the plate dynamics. The optimal gain for each unit is found to be reasonably independent of the gain implemented on the other unit. This implies that the system is robust against failure of a unit, since the other would still be optimally tuned. However, this tuning process depends on many factors, such as the type, position and number of control units implemented, and a comparison between different active control solutions, with respect to the optimal feedback gains only is not practical. For this reason, the measure of the electrical power, required by the control system, is suggested as a direct estimation of the control effort. To give an example of the proposed approach, the performance of the two control units is compared with the case in which only one unit at the time is active. The two-channel architecture is found not only to outperform the single-channel one in terms of vibration reduction, but also in terms of consumed electrical power. When the two channels are active, more than 8 dB broadband reduction is measured, and the consumed electrical power is found to be similar to the one consumed when only one unit is operating, which is optimally tuned.
0888-3270
689-708
Camperi, Stefano
89e2f2fb-7d54-448f-8043-57bac7ada4d0
Ghandchi Tehrani, Maryam
c2251e5b-a029-46e2-b585-422120a7bc44
Elliott, Stephen J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
Camperi, Stefano
89e2f2fb-7d54-448f-8043-57bac7ada4d0
Ghandchi Tehrani, Maryam
c2251e5b-a029-46e2-b585-422120a7bc44
Elliott, Stephen J.
721dc55c-8c3e-4895-b9c4-82f62abd3567

Camperi, Stefano, Ghandchi Tehrani, Maryam and Elliott, Stephen J. (2019) Local tuning and power requirements of a multi-input multi-output decentralised velocity feedback with inertial actuators. Mechanical Systems and Signal Processing, 117, 689-708. (doi:10.1016/j.ymssp.2018.08.002).

Record type: Article

Abstract

This paper discusses the tuning of multiple decentralised velocity feedback units for broadband vibration control on a plate using inertial actuators. An analysis of the performance is presented in terms of maximising the mechanical power absorbed and of the control effort, defined by the electrical power in the control units, and the results are validated numerically. Two inertial actuators are mounted on an experimental plate, and driven with control currents proportional to the measured local velocities of the plate, collocated with the actuators. Tuning is compared by using either the measurement of kinetic energy of the plate, or the mechanical power absorbed by the control units from the plate. It is found that the mechanical power absorbed can be used as a local cost function to tune the control units, as an alternative to the kinetic energy, not only when reactive actuators are used, but also when inertial actuators are in use. In this way, the tuning process is greatly simplified, since the mechanical power absorbed can be measured directly from the feedback velocity signal and a knowledge of the actuators dynamics, without further information on the plate dynamics. The optimal gain for each unit is found to be reasonably independent of the gain implemented on the other unit. This implies that the system is robust against failure of a unit, since the other would still be optimally tuned. However, this tuning process depends on many factors, such as the type, position and number of control units implemented, and a comparison between different active control solutions, with respect to the optimal feedback gains only is not practical. For this reason, the measure of the electrical power, required by the control system, is suggested as a direct estimation of the control effort. To give an example of the proposed approach, the performance of the two control units is compared with the case in which only one unit at the time is active. The two-channel architecture is found not only to outperform the single-channel one in terms of vibration reduction, but also in terms of consumed electrical power. When the two channels are active, more than 8 dB broadband reduction is measured, and the consumed electrical power is found to be similar to the one consumed when only one unit is operating, which is optimally tuned.

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Local tuning and power requirements of a multi-input multi-output decentralised - Accepted_Version - Accepted Manuscript
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Accepted/In Press date: 1 August 2018
e-pub ahead of print date: 22 August 2018
Published date: 15 February 2019

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Local EPrints ID: 423874
URI: https://eprints.soton.ac.uk/id/eprint/423874
ISSN: 0888-3270
PURE UUID: f61e330a-180a-4222-869f-1a8cb2be87d9

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Date deposited: 03 Oct 2018 16:30
Last modified: 23 Aug 2019 04:01

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