The Experts below are selected from a list of 216 Experts worldwide ranked by ideXlab platform
F. Hecker - One of the best experts on this subject based on the ideXlab platform.
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Mathematical Modeling and Parameter Identification of a Planar Servo-Pneumatic Test Facility. Part II: Experimental Identification
Nonlinear Dynamics, 1997Co-Authors: F. Hecker, H. HahnAbstract:The main objective of this paper is the identification of the inertia parameters of a rigid body under planar motion using a planar servo-Pneumatic Test facility designed for vibration Tests. The hardware realization of the Test facility used is discussed. The Pneumatic components as well as the mechanical components of the Test facility are described by linear and by nonlinear mathematical models, derived in Part I [1] of this paper. These model equations are used as identification hypotheses in the identification process. A comparison of time histories obtained by computer simulations of the nonlinear Test facility model and by laboratory experiments shows that this nonlinear Test facility model provides a realistic identification hypothesis for the estimation experiments. Based on different model hypotheses the inertia parameters of the Test table and of the payload have been successfully identified from laboratory experiments. The relative estimation errors of the identified parameters are less than 10%.
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Mathematical Modeling and Parameter Identification of a Planar Servo-Pneumatic Test Facility. Part I: Mathematical Modeling and Computer Simulation
Nonlinear Dynamics, 1997Co-Authors: D. Fürst, H. Hahn, F. HeckerAbstract:High quality multi-axis Test facilities used for Testing heavy loads and large structures of industrial equipment are usually simulated, designed and controlled based on reduced model equations neglecting the inertia properties of the actuators. The design and control of servo-Pneumatic Test facilities used for Testing small and light structures must take into account extended Test facility models including the various inertia properties of the actuators. In this paper (Part I) an extended Test facility model is presented including the various inertia properties and joints of the actuators. These extended model equations are represented in a form well suited to be directly implemented in control algorithms based on exact linearization techniques for real time control. This is done by stepwise projecting the inertia properties of the various actuator housings and actuator pistons down to the common mass of the Test table and payload. The resulting extended model equations have the same form as the reduced model equations. They only include more complex system matrices and vector functions. These compact model equations turn out to be suitable for an efficient nonlinear controller design of these Test facilities. Computer simulations and associated laboratory experiments show the necessity to use extended model equations in case of Testing small and light structures. In Part II of this paper [1] the inertia parameters of the planar Test facility will be identified in laboratory experiments.
H. Hahn - One of the best experts on this subject based on the ideXlab platform.
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Mathematical Modeling and Parameter Identification of a Planar Servo-Pneumatic Test Facility. Part II: Experimental Identification
Nonlinear Dynamics, 1997Co-Authors: F. Hecker, H. HahnAbstract:The main objective of this paper is the identification of the inertia parameters of a rigid body under planar motion using a planar servo-Pneumatic Test facility designed for vibration Tests. The hardware realization of the Test facility used is discussed. The Pneumatic components as well as the mechanical components of the Test facility are described by linear and by nonlinear mathematical models, derived in Part I [1] of this paper. These model equations are used as identification hypotheses in the identification process. A comparison of time histories obtained by computer simulations of the nonlinear Test facility model and by laboratory experiments shows that this nonlinear Test facility model provides a realistic identification hypothesis for the estimation experiments. Based on different model hypotheses the inertia parameters of the Test table and of the payload have been successfully identified from laboratory experiments. The relative estimation errors of the identified parameters are less than 10%.
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Mathematical Modeling and Parameter Identification of a Planar Servo-Pneumatic Test Facility. Part I: Mathematical Modeling and Computer Simulation
Nonlinear Dynamics, 1997Co-Authors: D. Fürst, H. Hahn, F. HeckerAbstract:High quality multi-axis Test facilities used for Testing heavy loads and large structures of industrial equipment are usually simulated, designed and controlled based on reduced model equations neglecting the inertia properties of the actuators. The design and control of servo-Pneumatic Test facilities used for Testing small and light structures must take into account extended Test facility models including the various inertia properties of the actuators. In this paper (Part I) an extended Test facility model is presented including the various inertia properties and joints of the actuators. These extended model equations are represented in a form well suited to be directly implemented in control algorithms based on exact linearization techniques for real time control. This is done by stepwise projecting the inertia properties of the various actuator housings and actuator pistons down to the common mass of the Test table and payload. The resulting extended model equations have the same form as the reduced model equations. They only include more complex system matrices and vector functions. These compact model equations turn out to be suitable for an efficient nonlinear controller design of these Test facilities. Computer simulations and associated laboratory experiments show the necessity to use extended model equations in case of Testing small and light structures. In Part II of this paper [1] the inertia parameters of the planar Test facility will be identified in laboratory experiments.
F. Le Bihan - One of the best experts on this subject based on the ideXlab platform.
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μ-Si strain gauge array on flexible substrate for dynamic pressure measurement
Sensors and Actuators A: Physical, 2020Co-Authors: F. Garcia Castro, Olivier De Sagazan, Nathalie Coulon, Dario Fassini, Jeremy Cramer, A. Homs Corbera, F. Le BihanAbstract:Low Temperature μ-Si layers have been deposited by Inductively Coupled Plasma Chemical Vapour Deposition (ICP-CVD) to produce strain gauges. These strain gauges performed on 25 μm thick flexible Kapton Polyimide (PI) were investigated in terms of Gauge Factor but also in dynamic mode through a homemade Pneumatic Test bench. Best strain gauge design has been identified and subsequently used to perform a 25 sensor array which was also Tested using pulses and more complex signals. A simulation of blood pressure monitoring was performed to demonstrate the value of the technology. © 2020 Elsevier B.V.
Jeremy Cramer - One of the best experts on this subject based on the ideXlab platform.
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μ-Si strain gauge array on flexible substrate for dynamic pressure measurement
Sensors and Actuators A-physical, 2020Co-Authors: Fatima Garcia Castro, Olivier De Sagazan, Nathalie Coulon, Antoni Homs Corbera, Dario Fassini, Jeremy CramerAbstract:Abstract Low Temperature μ-Si layers have been deposited by Inductively Coupled Plasma Chemical Vapour Deposition (ICP-CVD) to produce strain gauges. These strain gauges performed on 25 μm thick flexible Kapton Polyimide (PI) were investigated in terms of Gauge Factor but also in dynamic mode through a homemade Pneumatic Test bench. Best strain gauge design has been identified and subsequently used to perform a 25 sensor array which was also Tested using pulses and more complex signals. A simulation of blood pressure monitoring was performed to demonstrate the value of the technology.
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μ-Si strain gauge array on flexible substrate for dynamic pressure measurement
Sensors and Actuators A: Physical, 2020Co-Authors: F. Garcia Castro, Olivier De Sagazan, Nathalie Coulon, Dario Fassini, Jeremy Cramer, A. Homs Corbera, F. Le BihanAbstract:Low Temperature μ-Si layers have been deposited by Inductively Coupled Plasma Chemical Vapour Deposition (ICP-CVD) to produce strain gauges. These strain gauges performed on 25 μm thick flexible Kapton Polyimide (PI) were investigated in terms of Gauge Factor but also in dynamic mode through a homemade Pneumatic Test bench. Best strain gauge design has been identified and subsequently used to perform a 25 sensor array which was also Tested using pulses and more complex signals. A simulation of blood pressure monitoring was performed to demonstrate the value of the technology. © 2020 Elsevier B.V.
F. Garcia Castro - One of the best experts on this subject based on the ideXlab platform.
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μ-Si strain gauge array on flexible substrate for dynamic pressure measurement
Sensors and Actuators A: Physical, 2020Co-Authors: F. Garcia Castro, Olivier De Sagazan, Nathalie Coulon, Dario Fassini, Jeremy Cramer, A. Homs Corbera, F. Le BihanAbstract:Low Temperature μ-Si layers have been deposited by Inductively Coupled Plasma Chemical Vapour Deposition (ICP-CVD) to produce strain gauges. These strain gauges performed on 25 μm thick flexible Kapton Polyimide (PI) were investigated in terms of Gauge Factor but also in dynamic mode through a homemade Pneumatic Test bench. Best strain gauge design has been identified and subsequently used to perform a 25 sensor array which was also Tested using pulses and more complex signals. A simulation of blood pressure monitoring was performed to demonstrate the value of the technology. © 2020 Elsevier B.V.