254
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A comparative study of the recursive least squares and fuzzy logic estimation methods for the measurement of road adhesion coefficient

, &
Pages 1230-1246 | Received 24 Apr 2021, Accepted 10 Aug 2021, Published online: 13 Sep 2021

References

  • Aguado-Rojas, M, W Pasillas-Lepine, and A. Loria. 2020. “Extended-braking-stiffness Estimation under Varying Road-adherence Conditions.” J IEEE Transactions on Control Systems Technology 28(995): 1964–1971
  • Alonso, J, J.M López, Ga Pavón, and César A. Ignacio Platform for On-Board Real-Time Detection of Wet, Icy and Snowy Roads, Using Tyre/Road Noise Analysis. 2015 IEEE International Symposium on Consumer Electronics (lSCE), Madrid, Spain, 2015.
  • Asuzu, P, and C. Thompson A More Exact Linear FMCW Radar Signal Model for Simultaneous Range-velocity Estimation. 2018 IEEE Radar Conference (RadarConf18), Oklahoma, USA, 2018.
  • Balakina, E V., E Y Lipatov, and D S. Sarbayev Advantages of Using Wheel Rolling Radius for Calculating Friction Characteristics in Wheel-to-road Contact Patch. Proceedings of the 5th International Conference on Industrial Engineering (ICIE 2019), Hong Kong, China, 2020.
  • Boyraz, P, and D. Dogan Intelligent Traction Control in Electric Vehicles Using an Acoustic Approach for Online Estimation of Road-tire Friction. 2013 IEEE Intelligent Vehicles Symposium (IV), Gold Coast, Australia, 2013.
  • Braghin, F, M Brusarosco, F Cheli, and C. Alfredo. 2006. “Measurement of Contact Forces and Patch Features by Means of Accelerometers Fixed inside the Tire to Improve Future Car Active Control.” J Vehicle System Dynamics 44(sup1): 3–13. doi:10.1080/00423110600867101.
  • Breuer, B, U Eichhorn, and J. Roth Measurement of Tyre/road Friction Ahead of the Car and inside the Tyre. Proceedings of the International Symposium on Advanced Vehicle Control, Yokohama, Japan, 1992.
  • Brgeson, J. Sensor Data Fusion Based Estimation of Tyre-road Friction to Enhance Collision Avoidance. PhD Dissertation, Tampere, Suomi: Tampere University of Technology, March 2010.
  • Cao, J, C Song, S Song, F Xiao, and S. Peng. 2019. “Lane Detection Algorithm for Intelligent Vehicles in Complex Road Conditions and Dynamic Environments.” J Sensors 19(14): 3166. doi:10.3390/s19143166.
  • Chen, WW, DK Tan, and LF. Zhao. 2018. “Vehicle Side-slip Angle and Road Friction Estimation Using Online Gradient Descent Algorithm.” J IEEE Transactions on Vehicular Technology 67(12): 11475–11485. doi:10.1109/TVT.2018.2875459.
  • Chen, Y, and JM. Wang Vehicle-longitudinal-motion-independent Real-time Tire-road Friction Coefficient Estimation. 49th IEEE Conference on Decision and Control, Atlanta, USA, 2010.
  • Chen, Y, YN Li, and JW. Han. 2015. “State Estimation of In-wheel Motor Driven Electric Vehicle Based on Extended Kalman Filter.” J Journal of Automotive Engineering 5(01): 16–22.
  • Chen, Z, and X. Huang End-to-end Learning for Lane Keeping of Self-driving Cars. 2017 IEEE Intelligent Vehicles Symposium (IV)Redondo Beach, USA, 2017.
  • Dogan, D. Road-types Classification Using Audio Signal Processing and SVM Method. Signal Processing & Communications Applications Conference, Antalya, Turkey, 2017.
  • Donald, S, C Matteo, and S-M Savaresi. 2019. “Friction State Classification Based on Vehicle Inertial Measurements.” J IFAC Papers OnLine 52(5): 72–77. doi:10.1016/j.ifacol.2019.09.012.
  • Eldar, S, Z Vidas, P Olegas, and S Viktor. 2020. “Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation.” J Sensors 20(3): 612–629. doi:10.3390/s20030612.
  • Erdogan, G. New Sensors and Estimation Systems for the Measurement of Tire-road Friction Coefficient and Tire Slip Variables. Ph.D. dissertation, Minneapolis: Dept. Mech. Eng., Univ. of Minnesota, 2009.
  • Erdogan, G, L Alexander, and R. Rajamani. 2009. “A Novel Wireless Piezoelectric Tire Sensor for the Estimation of Slip Angle.” J Measurement Ence& Technology 21(1): 015201. doi:10.1088/0957-0233/21/1/015201.
  • Erdogan, G, L Alexander, and R. Rajamani. 2010a. “Estimation of Tire-Road Friction Coefficient Using a Novel Wireless Piezoelectric Tire Sensor.” J IEEE Sensors Journal 11(2): 267–279. doi:10.1109/JSEN.2010.2053198.
  • Erdogan, G, L Alexander, and R. Rajamani Measurement of Uncoupled Lateral Carcass Deflections with a Wireless Piezoelectric Sensor and Estimation of Tire Road Friction Coefficient. Asme Dynamic Systems & Control Conference, Massachusetts, USA, 2010b.
  • Fan, DS, G Li, and Y. Wang. 2020. “Distributed Electric Vehicle Driving State and Road Friction Coefficient Estimation.” Journal of Chongqing University of Technology (Natural Science) 34(06): 69–76.
  • Fan, XB, BX Fan, and F. Wang. 2016. “Tire/wheel Torsional Dynamic Behaviour and Road Friction Coefficient Estimation.” J Journal of Vibroengineering 18(4): 2359–2371. doi:10.21595/jve.2016.16711.
  • Fan, XB, P Deng, and Y. Jiang. 2013. “Research on the Tire/road Dynamic Friction Characteristics.” J International Journal of Plant Engineering and Management 18(3): 146–151.
  • Feng, YC, H Chen, HY Zhao, and H. Zhou. 2020. “Road Tire Friction Coefficient Estimation for Four-wheel Drive Electric Vehicle Based on Moving Optimal Estimation Strategy.” J Mechanical Systems and Signal Processing 139: 1–23. doi:10.1016/j.ymssp.2019.106416.
  • Haene, C, T Sattler, and M. Pollefeys Obstacle Detection for Self-driving Cars Using Only Monocular Cameras and Wheel Odometry. IEEE/RSJ International Conference on Intelligent Robots & Systems, Hamburg, Germany, 2015.
  • Hu, J, S Rakheja, and Y. Zhang Tire-road Friction Coefficient Estimation Based on Longitudinal Measurements. 2017 International Conference on Advanced Mechatronic Systems (ICAMechS), Xiamen China, 2017.
  • Hu, JQ, R Subhash, and YM. Zhang. 2019. “Tire-Road Friction Coefficient Estimation under Constant Vehicle Speed Control.” J IFAC Papers On Line 52(8): 136–141. doi:10.1016/j.ifacol.2019.08.061.
  • Huang, Y, and Han JQ. 2000. “Analysis and Design of Nonlinear Continuous Second Order Extended State Observer.” J Chinese Science Bulletin45(13): 1373–1379.
  • Kalliris, M, S Kanarachos, R Kotsakis, O Haas, and M. Blundell Machine Learning Algorithms for Wet Road Surface Detection Using Acoustic Measurements. IEEE 2019 International Conference on Mechatronics, Ilmenau, Germany, 2019.
  • Khaleghian, S, A Emami, and S. Taheri. 2017. “A Technical Survey on Tire-road Friction Estimation.” J Friction 5(2): 123–146. doi:10.1007/s40544-017-0151-0.
  • Kim, DJ, JS Kim, S-H Lee, and CC. Chung A Comparative Study of Estimating Road Surface Condition Using Support Vector Machine and Deep Neural Network. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019.
  • Li, CG, and Hu Jj. 2012. “State Space Model of 8-DOF Four-wheel Drive + Four-wheel Steering Vehicle.” J Journal of Zhejiang Wanli University 25(03): 76–83.
  • Li, DT, GJ Cui, SS Li, LP Guo, GD Wang, and Z. Li. 2019. “The Road Friction Coefficient Estimation Method Based on the Tyre Return Torque.” J Automobile Applied Technology 281(02): 116–119.
  • Li, G, RC Xie, SY Wei, and CF. Zong. 2015a. “Estimation of Vehicle State and Road Friction Coefficient Based on Double Volume Kalman Filter.” J Science in China: Technical Science 45(04): 403–414.
  • Li, L, K Yang, G Jia, J Song, and ZQ. Han. 2015b. “Comprehensive Tire–road Friction Coefficient Estimation Based on Signal Fusion Method under Complex Maneuvering Operations.” J Mechanical Systems and Signal Processing s56–57: 259–276. doi:10.1016/j.ymssp.2014.10.006.
  • Lin, C, G Wang, WK Cao, and FJ. Zhou. 2014. “Research on Real-time Road Surface Recognition Algorithm of Distributed Driven Electric Vehicles.” J Chinese Journal of Automotive Engineering 36(03): 374–377.
  • Liu, L, YG Luo, and KQ. Li. 2009. “Observation of Pavement Adhesion Coefficient Based on Normalized Tire Model.” J Journal of Tsinghua University (Science and Technology) 49(05): 723–727.
  • Liu, XY. Research on Vehicle Stability Based on Direct Yaw Torque Control. PhD Dissertation, Hefei, China: HeFei University of Technology, November 2010.
  • Liu, YH, T Liu, YY. Li, XW. Yang, and Ji XW. 2017. “Estimation of Tire-road Friction Coefficient Based on Combined APF-IEKF and Iteration Algorithm.” J Mechanical Systems and Signal Processing 88: 25–35. doi:10.1016/j.ymssp.2016.07.024.
  • Madhusudhanan, A-K, C Matteo, Mustafa A-a, and H Edward. 2016. “Load Sensing Bearing Based Road-tyre Friction Estimation considering Combined Tyre Slip.” J Mechatronics 39: 136–146. doi:10.1016/j.mechatronics.2016.03.011.
  • Mojtaba, S, A Ahmad, T Francesco, and D. Reza. 2016. “Vehicle Tyre/road Interaction Modeling and Identification of Its Parameters Using Real-time Trust-region Methods.” J IFAC PapersOnLine 49(3): 111–116. doi:10.1016/j.ifacol.2016.07.019.
  • Mooryong, C, J-J. Oh, and S-B Choi. 2013. “Linearized Recursive Least Squares Methods for Real-time Identification of Tire–road Friction Coefficient.” J IEEE Transactions on Vehicular Technology 62(7): 2906–2918. doi:10.1109/TVT.2013.2260190.
  • Peng, Y, J Chen, and Y. Ma. 2019. “Observer-based Estimation of Velocity and Tire-road Friction Coefficient for Vehicle Control Systems.” J Nonlinear Dynamics 96(1): 363–387. doi:10.1007/s11071-019-04794-0.
  • Pohl, A, and R Steindl. 1999. “The “Intelligent Tire” Utilizing Passive SAW Sensors Measurement of Tire Friction.” J IEEE Transactions on Instrumentation & Measurement 48(6): 1041–1046. doi:10.1109/19.816111.
  • Premachandra, C, R Gohara, T Ninomiya, and K. Kato. 2019. “Smooth Automatic Stopping for Ultra-compact Vehicles.” J IEEE Trans. Intelligent Vehicles 4(4): 561–568. doi:10.1109/TIV.2019.2938098.
  • Ribeiro, AM, A Moutinho, André R Fioravanti, and EC de Paiva. 2020. “Estimation of Tire-Road Friction for Road Vehicles: A Time Delay Neural Network Approach.” J Journal of the Brazilian Society of Mechanical Ences and Engineering 42: 4. doi:10.1007/s40430-019-2079-y.
  • Tanelli, M, A Ferrara, and P. Giani Combined Vehicle Velocity and Tire-road Friction Estimation via Sliding Mode Observers. IEEE International Conference on Control Applications, Dubrovnik, Croatia, 2012.
  • Tuononen, A. J. 2008. “Optical Position Detection to Measure Tyre Carcass Deflections.” J Vehicle System Dynamics 46(6): 471–481. doi:10.1080/00423110701485043.
  • Tuononen, AJ, and L. Hartikainen. 2008. “Optical Position Detection Sensor to Measure Tyre Carcass Deflections in Aquaplaning.” J International Journal of Vehicle Systems Modelling & Testing 3(3): 189–197. doi:10.1504/IJVSMT.2008.023837.
  • Viikari, Varpula, Kantanen. Automotive Radar Technology for Detecting Road Conditions. Backscattering Properties of Dry, Wet, and Icy Asphalt. European Radar Conference, Amsterdam, Holland, 2008.
  • Wang, B, and RY. Sun. 2012. “Research on Pavement Identification Method Based on State Characteristic Factor.” J Automotive Engineering 34(06): 506–510+522.
  • Wang, B, RY Sun, YH Xu, and Wu Yd. 2012. “RoadIdentification Method considering Road Roughness.” J Journal of Mechanical Engineering 48(24): 127–133.
  • Wang, F, XB Fan, K Jin, and YK. Sun. 2017. “Optimization Control of Anti-lock Braking System Based on Road Identification.” J Computer Simulation 34(03): 155–160.
  • Wang, F, XB Fan, YM Zhang, K Jin, and F. Yang. 2015a. “Fuzzy Identification Based on Tire/road Adhesion Feature.” J Computer Aided Drafting, Design and Manufacturing 25(01): 62–67.
  • Wang, J, J Yang, P Yu, AJ Li, and T. Wei. 2020a. “Real-time Estimation of Road Friction Coefficient under Different Road Conditions.” J Journal of Hebei University of Science and Technology 41(02): 172–180.
  • Wang, Q, Z Wei, J Wang, W Chen, and N. Wang. 2020b. “Curve Recognition Algorithm Based on Edge Point Curvature Voting.” J Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 234(4): 1006–1019. doi:10.1177/0954407019866975.
  • Wang, RR, C Hu, ZJ Wang, FJ Yan, and N. Chen. 2015b. “Integrated Optimal Dynamics Control of 4WD4WS Electric Ground Vehicle with Tire-road Frictional Coefficient Estimation.” J Mechanical Systems & Signal Processing 60-61: 727–741. doi:10.1016/j.ymssp.2014.12.026.
  • Wang, Y, and YT. Wei. 2020. “Road Identification Algorithm of Intelligent Tire Based on Support Vector Machine.” J Automotive Engineering 42(12): 1671–1678+1717.
  • Wielitzka, M, and T. Ortmaier Credibility of State and Friction Coefficient Estimation in Vehicle Dynamics Using UKF. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019.
  • Xiong, L, D Jin, B Leng, ZP Yu, and X. Yang. 2020. “Adaptive Estimation Method for Road Adhesion Coefficient of Distributed Driving Electric Vehicles considering Complex Excitation Conditions.” J Journal of Mechanical Engineering 56(18): 123–133. doi:10.3901/JME.2020.18.123.
  • Xiong, Z, XX Guo, XF Pei, and J. Zhang. 2018. “Exponential and Linear Parameterized Real-time Estimation Method for Longitudinal Adhesion Conditions of Tire-road Surface.” J China Mechanical Engineering 29(15): 1826–1833.
  • Yamada, M, K Ueda, I Horiba, and S. Tsugawa. 2005. “Road Surface Condition Detection Technique Based on Image Taken by Camera Attached to Vehicle Rearview Mirror.” J Review of Automotive Engineering 26(2): 163–168.
  • Yu, HX. Research on Intelligent Vehicle Collision Avoidance Based on State Estimation. PhD Dissertation, Beijing, China: Beijing University of Technology, June 2015.
  • Yu, ZP, JL Zuo, and H. Chen. 2007. “Estimation Method of Road Friction Coefficient Based on Four-wheel Drive Electric Vehicle.” J Chinese Journal of Automotive Engineering 29(02): 141–145.
  • Yu, ZP, JL Zuo, and LJ. Zhang. 2006. “Summary of the Development Status of Pavement Adhesion Coefficient Estimation Technology.” J Chinese Journal of Automotive Engineering 28(06): 546–549.
  • Zhang, DF. 2009. MATLAB Fuzzy Control System Design. 1sted. Beijing: National Defence Industry Press.
  • Zhao, ZX, XB Fan, K Jin, and F Wang. 2017. “Simulation Study of ABS Fuzzy Control Based on Road Surface Recognition.” JLaboratory Science 20(05): 75–80.
  • ZQ, Liu, and Liu YQ. 2020. “Adaptive Attenuation Kalman Filter Estimation of Road Adhesion Coefficient.” J China Journal of Highway 33(07): 176–185.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.