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Ioan Dore Landau - One of the best experts on this subject based on the ideXlab platform.
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Algorithms for Adaptive Feedforward Noise Attenuation--A Unified Approach and Experimental Evaluation
IEEE Transactions on Control Systems Technology, 2020Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore Landau, Raul Melendez, Luc DugardAbstract:Adaptive Feedforward broad-band noise compensation is currently used when a correlated measurement with the disturbance (an image of the disturbance) is available. Most of the active Feedforward noise control systems feature an internal "positive" acoustical feedback between the compensation system and the disturbance measurement which has to be taken into account. Adap-tive algorithms for active Feedforward noise attenuation have been developed since 1985 from a local optimization point of view. This paper presents two classes of adaptive configurations for active Feedforward noise compensation developed from a stability point of view. The first class uses a standard IIR(FIR) compensator structure while the second class uses the Youla-Kučera parametrization of the Feedforward noise compensator. This allows to separate the problem of stabilizing the internal positive feedback loop from the minimization of the residual noise. These adaptive schemes have been developed in the context of active vibration control but, as it will be shown, they can be used also in active noise control. The paper presents in a unified manner the available algorithms and compensator structures for adaptive Feedforward noise attenuation and provides a comparative experimental evaluation on a relevant experimental test-bench (a duct silencer). Index Terms-active noise control, adaptive feedfor-ward compensation, Youla-Kučera parametrization, positive feedback coupling.
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combined adaptive feedback and Feedforward compensation for active vibration control using youla kucera parametrization
Journal of Sound and Vibration, 2018Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore LandauAbstract:Abstract The combination of adaptive Feedforward with adaptive feedback disturbance compensation has been suggested since a number of years as a potential solution for improving the performance of active vibration control systems. Unfortunately, as shown in the present paper there is a strong coupling between adaptive feedback and adaptive Feedforward which may lead to instabilities and new algorithms which take into account this interaction are proposed in the paper. These algorithms take advantage of the Youla-Kucera parametrization of the feedback controller and Feedforward compensator. First, the adaptive feedback algorithm is presented alone. Then, the adaptive Feedforward algorithm is designed taking into account the feedback controller's presence in the loop. Stability of the complete scheme is obtained by appropriately filtering the regressor vectors in order to take into account a strictly positive real condition. Experimental results obtained on a relevant test-bench illustrate the performance of this approach to active vibration control. Comparison with adaptive feedback alone, with adaptive Feedforward alone and adaptive Feedforward + fixed feedback are provided.
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Combined adaptive feedback and Feedforward compensation for active vibration control using Youla–Kučera parametrization
Journal of Sound and Vibration, 2018Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore LandauAbstract:The combination of adaptive Feedforward with adaptive feedback disturbance compensation has been suggested since a number of years as a potential solution for improving the performance of active vibration control systems. Unfortunately, as shown in the present paper there is a strong coupling between adap-tive feedback and adaptive Feedforward which may lead to instabilities and new algorithms which take into account this interaction are proposed in the paper. These algorithms take advantage of the Youla-Kučera parametrization of the feedback controller and Feedforward compensator. First, the adaptive feedback algorithm is presented alone. Then, the adaptive Feedforward algorithm is designed taking into account the feedback controllers presence in the loop. Stability of the complete scheme is obtained by appropriately filtering the regressor vectors in order to take into account a strictly positive real condition. Experimental results obtained on a relevant test-bench illustrate the performance of this approach to active vibration control. Comparison with adaptive feedback alone, with adaptive Feedforward alone and adaptive feedfor-ward+fixed feedback are provided.
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IIR Youla-Kucera parametrized adaptive Feedforward compensators for active vibration control with mechanical coupling
IEEE Transactions on Control Systems Technology, 2013Co-Authors: Ioan Dore Landau, Tudorbogdan Airimitoaie, Marouane AlmaAbstract:Adaptive Feedforward broadband vibration (or noise) compensation requires a reliable correlated measurement with the disturbance (an image of the disturbance). The reliability of this measurement is compromised in most of the systems by a "positive" internal feedback coupling between the compensator system and the correlated measurement of the disturbance. The system may become unstable if the adaptation algorithms do not take in account this positive feedback. Instead of using classical IIR or FIR Feedforward compensators, the present paper proposes and analyses an IIR Youla - Kucera parametrization of the Feedforward compensator. A model based central IIR stabilizing compensator is used and its performance is enhanced by the adaptation of the parameters (Q-parameters) of an IIR Youla-Kucera filter. Adaptation algorithms assuring the stability of the system in the presence of the positive internal feedback are provided. Their performances are evaluated experimentally on an active vibration control (AVC) system. Theoretical and experimental comparisons with FIR Youla-Kucera parametrized Feedforward compensators and IIR Feedforward compensators are provided.
Tudorbogdan Airimitoaie - One of the best experts on this subject based on the ideXlab platform.
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Algorithms for Adaptive Feedforward Noise Attenuation--A Unified Approach and Experimental Evaluation
IEEE Transactions on Control Systems Technology, 2020Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore Landau, Raul Melendez, Luc DugardAbstract:Adaptive Feedforward broad-band noise compensation is currently used when a correlated measurement with the disturbance (an image of the disturbance) is available. Most of the active Feedforward noise control systems feature an internal "positive" acoustical feedback between the compensation system and the disturbance measurement which has to be taken into account. Adap-tive algorithms for active Feedforward noise attenuation have been developed since 1985 from a local optimization point of view. This paper presents two classes of adaptive configurations for active Feedforward noise compensation developed from a stability point of view. The first class uses a standard IIR(FIR) compensator structure while the second class uses the Youla-Kučera parametrization of the Feedforward noise compensator. This allows to separate the problem of stabilizing the internal positive feedback loop from the minimization of the residual noise. These adaptive schemes have been developed in the context of active vibration control but, as it will be shown, they can be used also in active noise control. The paper presents in a unified manner the available algorithms and compensator structures for adaptive Feedforward noise attenuation and provides a comparative experimental evaluation on a relevant experimental test-bench (a duct silencer). Index Terms-active noise control, adaptive feedfor-ward compensation, Youla-Kučera parametrization, positive feedback coupling.
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combined adaptive feedback and Feedforward compensation for active vibration control using youla kucera parametrization
Journal of Sound and Vibration, 2018Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore LandauAbstract:Abstract The combination of adaptive Feedforward with adaptive feedback disturbance compensation has been suggested since a number of years as a potential solution for improving the performance of active vibration control systems. Unfortunately, as shown in the present paper there is a strong coupling between adaptive feedback and adaptive Feedforward which may lead to instabilities and new algorithms which take into account this interaction are proposed in the paper. These algorithms take advantage of the Youla-Kucera parametrization of the feedback controller and Feedforward compensator. First, the adaptive feedback algorithm is presented alone. Then, the adaptive Feedforward algorithm is designed taking into account the feedback controller's presence in the loop. Stability of the complete scheme is obtained by appropriately filtering the regressor vectors in order to take into account a strictly positive real condition. Experimental results obtained on a relevant test-bench illustrate the performance of this approach to active vibration control. Comparison with adaptive feedback alone, with adaptive Feedforward alone and adaptive Feedforward + fixed feedback are provided.
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Combined adaptive feedback and Feedforward compensation for active vibration control using Youla–Kučera parametrization
Journal of Sound and Vibration, 2018Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore LandauAbstract:The combination of adaptive Feedforward with adaptive feedback disturbance compensation has been suggested since a number of years as a potential solution for improving the performance of active vibration control systems. Unfortunately, as shown in the present paper there is a strong coupling between adap-tive feedback and adaptive Feedforward which may lead to instabilities and new algorithms which take into account this interaction are proposed in the paper. These algorithms take advantage of the Youla-Kučera parametrization of the feedback controller and Feedforward compensator. First, the adaptive feedback algorithm is presented alone. Then, the adaptive Feedforward algorithm is designed taking into account the feedback controllers presence in the loop. Stability of the complete scheme is obtained by appropriately filtering the regressor vectors in order to take into account a strictly positive real condition. Experimental results obtained on a relevant test-bench illustrate the performance of this approach to active vibration control. Comparison with adaptive feedback alone, with adaptive Feedforward alone and adaptive feedfor-ward+fixed feedback are provided.
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IIR Youla-Kucera parametrized adaptive Feedforward compensators for active vibration control with mechanical coupling
IEEE Transactions on Control Systems Technology, 2013Co-Authors: Ioan Dore Landau, Tudorbogdan Airimitoaie, Marouane AlmaAbstract:Adaptive Feedforward broadband vibration (or noise) compensation requires a reliable correlated measurement with the disturbance (an image of the disturbance). The reliability of this measurement is compromised in most of the systems by a "positive" internal feedback coupling between the compensator system and the correlated measurement of the disturbance. The system may become unstable if the adaptation algorithms do not take in account this positive feedback. Instead of using classical IIR or FIR Feedforward compensators, the present paper proposes and analyses an IIR Youla - Kucera parametrization of the Feedforward compensator. A model based central IIR stabilizing compensator is used and its performance is enhanced by the adaptation of the parameters (Q-parameters) of an IIR Youla-Kucera filter. Adaptation algorithms assuring the stability of the system in the presence of the positive internal feedback are provided. Their performances are evaluated experimentally on an active vibration control (AVC) system. Theoretical and experimental comparisons with FIR Youla-Kucera parametrized Feedforward compensators and IIR Feedforward compensators are provided.
Marouane Alma - One of the best experts on this subject based on the ideXlab platform.
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IIR Youla-Kucera parametrized adaptive Feedforward compensators for active vibration control with mechanical coupling
IEEE Transactions on Control Systems Technology, 2013Co-Authors: Ioan Dore Landau, Tudorbogdan Airimitoaie, Marouane AlmaAbstract:Adaptive Feedforward broadband vibration (or noise) compensation requires a reliable correlated measurement with the disturbance (an image of the disturbance). The reliability of this measurement is compromised in most of the systems by a "positive" internal feedback coupling between the compensator system and the correlated measurement of the disturbance. The system may become unstable if the adaptation algorithms do not take in account this positive feedback. Instead of using classical IIR or FIR Feedforward compensators, the present paper proposes and analyses an IIR Youla - Kucera parametrization of the Feedforward compensator. A model based central IIR stabilizing compensator is used and its performance is enhanced by the adaptation of the parameters (Q-parameters) of an IIR Youla-Kucera filter. Adaptation algorithms assuring the stability of the system in the presence of the positive internal feedback are provided. Their performances are evaluated experimentally on an active vibration control (AVC) system. Theoretical and experimental comparisons with FIR Youla-Kucera parametrized Feedforward compensators and IIR Feedforward compensators are provided.
Luc Dugard - One of the best experts on this subject based on the ideXlab platform.
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Algorithms for Adaptive Feedforward Noise Attenuation--A Unified Approach and Experimental Evaluation
IEEE Transactions on Control Systems Technology, 2020Co-Authors: Tudorbogdan Airimitoaie, Ioan Dore Landau, Raul Melendez, Luc DugardAbstract:Adaptive Feedforward broad-band noise compensation is currently used when a correlated measurement with the disturbance (an image of the disturbance) is available. Most of the active Feedforward noise control systems feature an internal "positive" acoustical feedback between the compensation system and the disturbance measurement which has to be taken into account. Adap-tive algorithms for active Feedforward noise attenuation have been developed since 1985 from a local optimization point of view. This paper presents two classes of adaptive configurations for active Feedforward noise compensation developed from a stability point of view. The first class uses a standard IIR(FIR) compensator structure while the second class uses the Youla-Kučera parametrization of the Feedforward noise compensator. This allows to separate the problem of stabilizing the internal positive feedback loop from the minimization of the residual noise. These adaptive schemes have been developed in the context of active vibration control but, as it will be shown, they can be used also in active noise control. The paper presents in a unified manner the available algorithms and compensator structures for adaptive Feedforward noise attenuation and provides a comparative experimental evaluation on a relevant experimental test-bench (a duct silencer). Index Terms-active noise control, adaptive feedfor-ward compensation, Youla-Kučera parametrization, positive feedback coupling.
Graham D Farquhar - One of the best experts on this subject based on the ideXlab platform.
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the apparent Feedforward response of stomata to air vapour pressure deficit information revealed by different experimental procedures with two rainforest trees
Plant Cell and Environment, 1997Co-Authors: Peter J Franks, I R Cowan, Graham D FarquharAbstract:A decrease in steady-state leaf transpiration rate with increased vapour pressure difference between leaf and air, which is reversible and independent of leaf water status, is evidence for Feedforward control of stomatal aperture (Cowan 1977). A recent survey of gas exchange data by Monteith (1995), covering 52 sets of measurements on 16 species, reported that evidence for Feedforward control was rare and usually reliant on a single point. We conducted gas exchange experiments on an additional 13 species and observed an apparent Feedforward response in only two. However, the response was not reversible and depended upon experimental procedure. In view of this we discuss the appropriate use of the term ‘Feedforward’.
