Passivity control with adaptive feed-forward filtering for real-time hybrid tests. (June 2020)
- Record Type:
- Journal Article
- Title:
- Passivity control with adaptive feed-forward filtering for real-time hybrid tests. (June 2020)
- Main Title:
- Passivity control with adaptive feed-forward filtering for real-time hybrid tests
- Authors:
- Peiris, L.D. Hashan
Bartl, Andreas
du Bois, Jonathan L.
Plummer, Andrew - Abstract:
- Abstract: Real-time hybrid testing combines the reliability of experimental testing with the convenience of numerical simulation. The system to be tested is split into a physical substructure and a real-time numerical simulation which are coupled using actuators and sensors to transfer data at the interface in real-time. In order to achieve stable and accurate hybrid testing representative of the true system, high fidelity control is required at the substructure interface. However, actuators have a response lag which results in tracking errors and potential instability in hybrid tests. This paper investigates the effectiveness of a combined compensation strategy based on passivity control and adaptive feedforward filtering to improve stability, robustness and tracking performance in real-time hybrid testing. The combined strategy is adaptive and requires no prior information of the actuator dynamics unlike conventional transfer dynamics compensators in real-time hybrid testing. Moreover, the scheme requires no extra hardware making it inexpensive and applicable to a wide range of systems. Experimental results on a single degree of freedom nonlinear real-time hybrid test show the potency of the scheme in synchronizing substructure displacements while improving stability. The scheme was also found to restore stability of hybrid tests inherently unstable due to actuator delay whilst phase lags of up to 58 degrees have been successfully mitigated in a lumped parameterAbstract: Real-time hybrid testing combines the reliability of experimental testing with the convenience of numerical simulation. The system to be tested is split into a physical substructure and a real-time numerical simulation which are coupled using actuators and sensors to transfer data at the interface in real-time. In order to achieve stable and accurate hybrid testing representative of the true system, high fidelity control is required at the substructure interface. However, actuators have a response lag which results in tracking errors and potential instability in hybrid tests. This paper investigates the effectiveness of a combined compensation strategy based on passivity control and adaptive feedforward filtering to improve stability, robustness and tracking performance in real-time hybrid testing. The combined strategy is adaptive and requires no prior information of the actuator dynamics unlike conventional transfer dynamics compensators in real-time hybrid testing. Moreover, the scheme requires no extra hardware making it inexpensive and applicable to a wide range of systems. Experimental results on a single degree of freedom nonlinear real-time hybrid test show the potency of the scheme in synchronizing substructure displacements while improving stability. The scheme was also found to restore stability of hybrid tests inherently unstable due to actuator delay whilst phase lags of up to 58 degrees have been successfully mitigated in a lumped parameter mechanical oscillator system. … (more)
- Is Part Of:
- IFAC journal of systems and control. Volume 12(2020)
- Journal:
- IFAC journal of systems and control
- Issue:
- Volume 12(2020)
- Issue Display:
- Volume 12, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 12
- Issue:
- 2020
- Issue Sort Value:
- 2020-0012-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-06
- Subjects:
- Real-time hybrid test -- Passivity control -- Adaptive feed-forward filters -- Mechanical systems -- Vibration and dynamics -- Model-in-the-loop testing
Automatic control -- Periodicals
Relay control systems -- Periodicals
Embedded computer systems -- Periodicals
Feedback control systems -- Periodicals
Artificial intelligence -- Periodicals
Artificial intelligence
Automatic control
Embedded computer systems
Feedback control systems
Relay control systems
Electronic journals
Periodicals
629.89 - Journal URLs:
- https://www.sciencedirect.com/science/journal/24686018 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacsc.2020.100081 ↗
- Languages:
- English
- ISSNs:
- 2468-6018
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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