The Experts below are selected from a list of 8277 Experts worldwide ranked by ideXlab platform
Karl J. Hedrick - One of the best experts on this subject based on the ideXlab platform.
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Tire-road friction coefficient estimation with vehicle steering
2013 IEEE Intelligent Vehicles Symposium (IV), 2013Co-Authors: Sanghyun Hong, Karl J. HedrickAbstract:Lateral tire Deflection enables the estimation of the tire-road friction coefficient. Vehicle steering, such as driving on a curved highway, can influence the friction coefficient estimation. This paper demonstrates an algorithm to estimate the tire-road friction coefficient when a vehicle is steering. The relationship between the friction coefficient and the vehicle steering is derived through a tire brush model. The change of Lateral velocity inside the tire-road contact patch is used in the algorithm along with the Lateral Deflection. The models for the Lateral Deflection and the change of Lateral velocity are derived with the tire brush model, a simple tire model, and a parabolic Lateral Deflection model. Approximated tire slip angles are fed to the estimation algorithm to capture the change of the steering angle. This algorithm is evaluated in experiments with the steering of a test vehicle.
Sanghyun Hong - One of the best experts on this subject based on the ideXlab platform.
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Tire-road friction coefficient estimation with vehicle steering
2013 IEEE Intelligent Vehicles Symposium (IV), 2013Co-Authors: Sanghyun Hong, Karl J. HedrickAbstract:Lateral tire Deflection enables the estimation of the tire-road friction coefficient. Vehicle steering, such as driving on a curved highway, can influence the friction coefficient estimation. This paper demonstrates an algorithm to estimate the tire-road friction coefficient when a vehicle is steering. The relationship between the friction coefficient and the vehicle steering is derived through a tire brush model. The change of Lateral velocity inside the tire-road contact patch is used in the algorithm along with the Lateral Deflection. The models for the Lateral Deflection and the change of Lateral velocity are derived with the tire brush model, a simple tire model, and a parabolic Lateral Deflection model. Approximated tire slip angles are fed to the estimation algorithm to capture the change of the steering angle. This algorithm is evaluated in experiments with the steering of a test vehicle.
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Tyre-road friction coefficient estimation based on tyre sensors and Lateral tyre Deflection: modelling, simulations and experiments
Vehicle System Dynamics, 2013Co-Authors: Sanghyun Hong, Gurkan Erdogan, Karl Hedrick, Francesco BorrelliAbstract:The estimation of the tyre–road friction coefficient is fundamental for vehicle control systems. Tyre sensors enable the friction coefficient estimation based on signals extracted directly from tyres. This paper presents a tyre–road friction coefficient estimation algorithm based on tyre Lateral Deflection obtained from Lateral acceleration. The Lateral acceleration is measured by wireless three-dimensional accelerometers embedded inside the tyres. The proposed algorithm first determines the contact patch using a radial acceleration profile. Then, the portion of the Lateral acceleration profile, only inside the tyre–road contact patch, is used to estimate the friction coefficient through a tyre brush model and a simple tyre model. The proposed strategy accounts for orientation-variation of accelerometer body frame during tyre rotation. The effectiveness and performance of the algorithm are demonstrated through finite element model simulations and experimental tests with small tyre slip angles on different...
Hedong Zhang - One of the best experts on this subject based on the ideXlab platform.
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Design principle of micro-mechanical probe for Lateral-Deflection-controlled friction force microscopy
Microsystem Technologies, 2016Co-Authors: Kenji Fukuzawa, Satoshi Hamaoka, Mitsuhiro Shikida, Shintaro Itoh, Hedong ZhangAbstract:Design principles of Lateral-Deflection-controlled friction force microscopy (FFM) are presented. Lateral-Deflection-controlled FFM can overcome a fundamental problem of dual-axis FFM and can provide higher Lateral resolution by compensating for friction force and providing effectively high rigidity to the probe. In this paper, key micro components are investigated: micro structures for detection of Lateral probe Deflection and for Lateral drive of the probe. The micro structure for Deflection detection is fabricated at the end of the probe and is used in combination with an optical lever method. The micro structure that reflects light (positive type) can provide higher sensitivity than a conventional structure that does not reflect light (negative type). For the probe Lateral drive, a micro conduction structure that connects the probe with a support beam is used. A micro electrical conduction structure using stiction is introduced, and its feasibility is experimentally confirmed. These micro structures can improve the measurement accuracy.
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Lateral Deflection controlled friction force microscopy
Journal of Applied Physics, 2014Co-Authors: Kenji Fukuzawa, Satoshi Hamaoka, Mitsuhiro Shikida, Shintaro Itoh, Hedong ZhangAbstract:Lateral-Deflection-controlled dual-axis friction force microscopy (FFM) is presented. In this method, an electrostatic force generated with a probe-incorporated micro-actuator compensates for friction force in real time during probe scanning using feedback control. This equivalently large rigidity can eliminate apparent boundary width and Lateral snap-in, which are caused by Lateral probe Deflection. The method can evolve FFM as a method for quantifying local frictional properties on the micro/nanometer-scale by overcoming essential problems to dual-axis FFM.
Kenji Fukuzawa - One of the best experts on this subject based on the ideXlab platform.
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Design principle of micro-mechanical probe for Lateral-Deflection-controlled friction force microscopy
Microsystem Technologies, 2016Co-Authors: Kenji Fukuzawa, Satoshi Hamaoka, Mitsuhiro Shikida, Shintaro Itoh, Hedong ZhangAbstract:Design principles of Lateral-Deflection-controlled friction force microscopy (FFM) are presented. Lateral-Deflection-controlled FFM can overcome a fundamental problem of dual-axis FFM and can provide higher Lateral resolution by compensating for friction force and providing effectively high rigidity to the probe. In this paper, key micro components are investigated: micro structures for detection of Lateral probe Deflection and for Lateral drive of the probe. The micro structure for Deflection detection is fabricated at the end of the probe and is used in combination with an optical lever method. The micro structure that reflects light (positive type) can provide higher sensitivity than a conventional structure that does not reflect light (negative type). For the probe Lateral drive, a micro conduction structure that connects the probe with a support beam is used. A micro electrical conduction structure using stiction is introduced, and its feasibility is experimentally confirmed. These micro structures can improve the measurement accuracy.
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Lateral Deflection controlled friction force microscopy
Journal of Applied Physics, 2014Co-Authors: Kenji Fukuzawa, Satoshi Hamaoka, Mitsuhiro Shikida, Shintaro Itoh, Hedong ZhangAbstract:Lateral-Deflection-controlled dual-axis friction force microscopy (FFM) is presented. In this method, an electrostatic force generated with a probe-incorporated micro-actuator compensates for friction force in real time during probe scanning using feedback control. This equivalently large rigidity can eliminate apparent boundary width and Lateral snap-in, which are caused by Lateral probe Deflection. The method can evolve FFM as a method for quantifying local frictional properties on the micro/nanometer-scale by overcoming essential problems to dual-axis FFM.
Rajesh Rajamani - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Tire-Road Friction Coefficient Using a Novel Wireless Piezoelectric Tire Sensor
IEEE Sensors Journal, 2011Co-Authors: Gurkan Erdogan, Lee Alexander, Rajesh RajamaniAbstract:A tire-road friction coefficient estimation approach is proposed which makes use of the uncoupled Lateral Deflection profile of the tire carcass measured from inside the tire through the entire contact patch. The unique design of the developed wireless piezoelectric sensor enables the decoupling of the Lateral carcass deformations from the radial and tangential deformations. The estimation of the tire-road friction coefficient depends on the estimation of slip angle, Lateral tire force, aligning moment, and the use of a brush model. The tire slip angle is estimated as the slope of the Lateral Deflection curve at the leading edge of the contact patch. The portion of the Deflection profile measured in the contact patch is assumed to be a superposition of three types of Lateral carcass deformations, namely, shift, yaw, and bend. The force and moment acting on the tire are obtained by using the coefficients of a parabolic function which approximates the Deflection profile inside the contact patch and whose terms represent each type of deformation. The estimated force, moment, and slip angle variables are then plugged into the brush model to estimate the tire-road friction coefficient. A specially constructed tire test rig is used to experimentally evaluate the performance of the developed estimation approach and the tire sensor. Experimental results show that the developed sensor can provide good estimation of both slip angle and tire-road friction coefficient.
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measurement of uncoupled Lateral carcass Deflections with a wireless piezoelectric sensor and estimation of tire road friction coefficient
ASME 2010 Dynamic Systems and Control Conference DSCC2010, 2010Co-Authors: Gurkan Erdogan, Lee Alexander, Rajesh RajamaniAbstract:A new tire-road friction coefficient estimation approach based on Lateral carcass Deflection measurements is proposed. The unique design of the developed wireless piezoelectric sensor decouples Lateral carcass deformations from radial and tangential carcass deformations. The estimation of the tire-road friction coefficient depends on the estimation of the slip angle and the Lateral tire force. The tire slip angle is estimated as the slope of the Lateral Deflection curve at the leading edge of the contact patch. The Lateral tire force is obtained by using a parabolic relationship with the Lateral Deflections in the contact patch. The estimated slip angle and Lateral force are then plugged into a tire brush model to estimate the tire-road friction coefficient. A specially constructed tire test-rig is used to experimentally evaluate the performance of the tire sensor and the developed approach. Experimental results show that the proposed tire-road friction coefficient estimation approach is quite promising.Copyright © 2010 by ASME
