Microwave-Photonic Sensory Tire Control System Based on FBG

The article discusses a possibility of using fiber-optic sensors based on addressed fiber Bragg structures (AFBS) to assess tire dynamics in real operating conditions.The presented study is motivated by the fact that vehicle dynamics control systems require reliable and cost-efficient sensors for measuring forces acting in the tire contact patch. In this regard, a description of the new technology of multi-sensor measurements for continuous monitoring of tire state is presented. The experimental sensor prototypes use AFBSs with two identical ultra-narrow-band reflection spectra (2λ-FBG). Information from the sensors is implemented as input parameters of algorithms, which allow to estimate key tire-related characteristics, such as pressure in the contact patch, instantaneous angular velocity and effective wheel radius. One of advantages of this technology as compared to analogous devices is the use of an optical photodetector as an interrogator that greatly simplifies the system.

[1]  Gianluca Pepe,et al.  A Multisensing Setup for the Intelligent Tire Monitoring , 2017, Sensors.

[3]  Rui Esteves Araujo,et al.  Optimal Linear Parameterization for On-Line Estimation of Tire-Road Friction , 2011 .

[4]  R. Khabibullin,et al.  Two-frequency radiation forming on chirped FBG for tuning terahertz carriers generation , 2018, 2018 Systems of Signals Generating and Processing in the Field of on Board Communications.

[6]  Vladimir A. Burdin,et al.  Fiber Bragg grating writing technique for multimode optical fibers providing stimulation of few-mode effects in measurement systems , 2016, Optical Technologies for Telecommunications.

[7]  Klaus Augsburg,et al.  Extending the HSRI tyre model for large inflation pressure changes , 2017 .

[8]  J. Capmany,et al.  Microwave Photonics Filtering Technique for Interrogating a Very-Weak Fiber Bragg Grating Cascade Sensor , 2014, IEEE Photonics Journal.

[9]  Mauro Velardocchia,et al.  Cyber Tyre for Vehicle Active Safety , 2009 .

[10]  Damian Harty,et al.  The Multibody Systems Approach to Vehicle Dynamics , 2004 .

[11]  Hans B. Pacejka,et al.  Tire and Vehicle Dynamics , 1982 .

[12]  N I Ovchinnikova,et al.  Dynamic analysis of elastic rubber tired car wheel breaking under variable normal load , 2017 .

[13]  O. Morozov,et al.  Universal Microwave Photonics Approach to Frequency-Coded Quantum Key Distribution , 2017, Advanced Technologies of Quantum Key Distribution.

[14]  K.J. Burnham,et al.  Closed-loop driver/vehicle model for automotive control , 2005, 18th International Conference on Systems Engineering (ICSEng'05).

[15]  Akira Todoroki,et al.  Strain Monitoring and Applied Load Estimation for the Development of Intelligent Tires Using a Single Wireless CCD Camera , 2012 .