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A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control

Year 2018, Volume: 2 Issue: 1, 1 - 7, 20.06.2018

Erdem Uzunsoy

Abstract

As an implication of a mathematical set theory, fuzzy logic has widely been used in engineering applications, since its invention. One of the popular areas, which the logic could successfully penetrate the real world, is the automotive engineering. Especially; rulemaking authorities, a competitive sector and more conscious customers challenge the vehicle designers to use state of the art technologies for better performance, safety and higher dynamic requirements. Therefore, although the style design has been an attraction point in the first place, nowadays, control systems have been the distinguishing parameter of the vehicle design. Certainly, not only the hardware used for the control, but also the method used is important in judgement of the system’s success. Fuzzy logic control (FLC) has been studied and applied in vehicle dynamics control model and the systems for decades. The method is classified in the intelligent control systems and is capable of dealing with the systems consisting of uncertainty and non-linearity as in some fields of automotive engineering. From this point of view, this paper aims to reveal the most commonly used FLC applications in vehicle dynamics literature. 

Keywords

Fuzzy logic Vehicle dynamics control Automotive engineering

References

  • [1] Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8: 338–353.
  • [2] Feng, G. (2006). A Survey on Analysis and Design of Model-Based Fuzzy Control Systems. IEEE Transactions on Fuzzy Systems, 14(5): 676-697.
  • [3] Ross, T.J. (2015). Fuzzy Logic –Fuzzy Logic with Engineering Applications, Wiley, West Sussex, UK, 3rd Edition, 585 p. ISBN: 978-0-470-74376-8.
  • [4] Trilaz, E., Ecioloza, L. (2015). Fuzzy Logic - An Introductory Course for Engineering Students, Springer, Switzerland, 1st Edition, 204 p. ISBN 978-3-319-14202-9.
  • [5] Mamdani, E. H., Assilian, S. (1975). An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Man-machine Studies, 7: 1–13.
  • [6] Uzunsoy, E., Erkilic, V. (2016). Development of a Trajectory Following Vehicle Control Model. Advances in Mechanical Engineering, 8(5): 1–11.
  • [7] Dadios, E.P. (2012). Fuzzy Logic - Controls, Concepts, Theories and Applications. In Tech, Rijeka, Croatia, 1st Edition, 428 p. ISBN: 978-953-51-0396-7.
  • [8] Ivanov, V. (2015). A Review of Fuzzy Methods in Automotive Engineering Applications. European Transportation Research Review, 7:29.
  • [9] Furukawa, Y., Abe, M. (1997). Advanced Chassis Control Systems for Vehicle Handling and Active Safety. Vehicle System Dynamics, 28: 59-86.
  • [10] Aly, A.A., Zeidan, E.S., Hamed, A. Salem, F. (2011). An Antilock-Braking Systems (ABS) Control: A Technical Review. Intelligent Control and Automation, 2: 186-195.
  • [11] Ghaemi, S., Khanmohammadi, S., Tinati, M. (2010). Driver's Behavior Modeling Using Fuzzy Logic. Mathematical Problems in Engineering, vol. 2010, Article ID 172878.
  • [12] Plochl, M., Edelmann, J. (2007). Driver Models in Automobile Dynamics Application. Vehicle System Dynamics, 45:699–741.
  • [13] Pauwelussen J.P. (1999). Vehicle Performance, Swets&Zeitlinger, Lisse, The Netherlands, 1st Edition, 250 p. ISBN: 90 265 1542 1.
  • [14] Mastinu, G., Ploechl, M. (2014). Road and Off-Road Vehicle System Dynamics Handbook, CRC Press, NW, USA, 1st Edition, 1708 p. ISBN: 13:978-1-4200-0490-8.
  • [15] Hessburg T.,Tomizuka, M. (1994). Fuzzy Logic Control for Lateral Vehicle Guidance. IEEE Control Systems, 14: 55–63.
  • [16] Hessburg, T.,Tomizuka, M. (1995). Fuzzy Logic Control For Lane Change Maneuvers In Lateral Vehicle Guidance. California Partners for Advanced Transit and Highways (PATH). UC Berkeley: California Partners for Advanced Transportation Technology. Retrieved from: http://escholarship.org/uc/item/4zs9k1vx [Accessed 20 October 2017].
  • [17] Uzunsoy, E., Olatunbosun, O.A. (2003). A generic fuzzy pilot and path planning for vehicle handling dynamics simulation studies (SAE 2003 Transactions - journal of passenger cars: electronic and electrical systems, p.767. SAE paper 2003-01-2263, 2003.
  • [18] dos Santos, D., Cabral, E. (2008). A Novel Method for Controlling an ABS (Anti-lock Braking System) for Heavy Vehicle. SAE Technical Paper 2008-36-0039.
  • [19] Jalali, K., Uchida, T., McPhee, J., Lambert, S. (2012). Development of a Fuzzy Slip Control System for Electric Vehicles with In-wheel Motors. SAE International Journal Alternative Powertrains, 1(1):46-64.
  • [20] Ferro, J.,P., C. (2014). Design and Simulation of an ABS Control Scheme for a Formula Student Prototype. MSc Thesis, Tecnico Lisboa.
  • [21] Mauer, G., F. (1995). A Fuzzy Logic Controller for an ABS Braking System. IEEE Transactions on Fuzzy Systems, 3(4): 381-388.
  • [22] Minh, V., Oamen, G., Vassiljeva, K., Teder, L. (2016). Development of Anti-lock Braking System (ABS) for Vehicles Braking. Open Engineering, 6(1):554-559.
  • [23] Aksjonov, A., Vodovozov, V., Petlenkov, E. (2016). Design and Experimentation of Fuzzy Logic Controlfor an Anti-Lock Braking System. 15th Biennial Baltic Electronics Conference (BEC). Tallinn, Estonia on October 3-5, 2016.
  • [24] Tang, Y., Wang, Y., Han, M., Lian, Q. (2016). Adaptive Fuzzy Fractional-Order Sliding Mode Controller Design for Antilock Braking Systems. ASME Journal of Dynamic Systems, Measurement and Control, 138(4):041008 8p.
  • [25] Ding, N., Taheri, S. (2009). An adaptive integrated algorithm for active front steering and direct yaw moment control based on direct Lyapunov method. Information and Control. Vehicle System Dynamics, 48(10): 1193-1213.
  • [26] Jin, L., Xie, X., Shen, C., Wang, F., Wang, F., Ji, S., Guan, X., Xu, J. (2017). Study on Electronic Stability Program Control Strategy Based on the Fuzzy Logical and Genetic Optimization Method. Advances in Mechanical Engineering, 9(5): 1–13
  • [27] Boada, M.J.L., Boada, B. L., Munoz, A., Diaz, V. (2006). Integrated Control of Front-Wheel Steering and Front Braking Forces on the Basis of Fuzzy Logic, Proceedings of the Institution of Mechanical Engineers: Part D – Journal of Automobile Engineering. 220: 253–267.
  • [28] Jianhua, G., Liang, C., Feikun, Z., Liang, Y. (2011). Coordinated Control of AFS and ESP Based on Fuzzy Logic Method. International Conference on Mechatronic Science, Electric Engineering and Computer, August 19-22, 2011, Jilin, China.
  • [29] Goodarzi, A., Alirezaie, M. (2009). Integrated Fuzzy/Optimal Vehicle Dynamic Control. International Journal of Automotive Technologies. 10: 567.
  • [30] Yağiz, N., Sakman, L.E., Guclu, R. (2008). Different Control Applications on a Vehicle Using Fuzzy Logic Control. Sadhana, 33(1): 15- 25.
  • [31] Rao, V.C.D., Prahlad, V. (1997). A Tunable Fuzzy Logic Controller for Vehicle-Active Suspension Systems. Fuzzy Sets and Systems, 85: 11-21.
  • [32] Barr, A. J., Ray, J. I. (1996). Control of an Active Suspension using Fuzzy Logic. Proceedings of IEEE 5th International Fuzzy Systems, New Orleans, LA, 1, pp. 42-48.
  • [33] Al-Holou, N., Lahdhiri, T., Joo, D.J., Weaver, J., Al-Abbas, F. (2002). Sliding Mode Neural Network Inference Fuzzy Logic Control for Active Suspension Systems. IEEE Transactions on Fuzzy Systems, 10(2): 234-246.
  • [34] Gandhi, P., Adarsh, S., Ramachandran, K.I. (2017). Performance Analysis of Half Car Suspension Model with 4 DOF using PID, LQR, FUZZY and ANFIS Controllers. Procedia Computer Science, 115: 2-13.
  • [35] Lian, J.C. (2013). Enhanced Adaptive Self-Organizing Fuzzy Sliding-Mode Controller for Active Suspension Systems. IEEE Transactions on Industrial Electronics, 60(3): 958-968.
  • [36] Singh, A.S.P., Darus, I.Z.M. (2014). Active Roll Control Strategy Using Fuzzy Logic Control Active Suspension. WSEAS Transactions on Systems and Control, 9(1): 566-573.
  • [37] Kadir, Z. A., Hudha, K., Jamaluddin, H., Ahmad, F., Imaduddin, F. (2011). Active Roll Control Suspension System for Improving Dynamics Performance of Passenger Vehicle. Proceedings of 2011 International Conference on Modelling, Identification and Control, Shanghai, pp. 492-497.
  • [38] Kawashima, K., Uchida, T., Hori, Y. (2010). Rolling Stability Control of In-wheel Motor Electric Vehicle Based on Disturbance Observer, Motion Control, Federico Casolo (Ed.), In Tech, Available from: https://www.intechopen.com/books/motion-control/rolling-stability-control-of-in-wheelmotor-electric-vehicle-based-on-disturbance-observer [Accessed 31 October 2017].

Year 2018, Volume: 2 Issue: 1, 1 - 7, 20.06.2018

Erdem Uzunsoy

Abstract

References

  • [1] Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8: 338–353.
  • [2] Feng, G. (2006). A Survey on Analysis and Design of Model-Based Fuzzy Control Systems. IEEE Transactions on Fuzzy Systems, 14(5): 676-697.
  • [3] Ross, T.J. (2015). Fuzzy Logic –Fuzzy Logic with Engineering Applications, Wiley, West Sussex, UK, 3rd Edition, 585 p. ISBN: 978-0-470-74376-8.
  • [4] Trilaz, E., Ecioloza, L. (2015). Fuzzy Logic - An Introductory Course for Engineering Students, Springer, Switzerland, 1st Edition, 204 p. ISBN 978-3-319-14202-9.
  • [5] Mamdani, E. H., Assilian, S. (1975). An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Man-machine Studies, 7: 1–13.
  • [6] Uzunsoy, E., Erkilic, V. (2016). Development of a Trajectory Following Vehicle Control Model. Advances in Mechanical Engineering, 8(5): 1–11.
  • [7] Dadios, E.P. (2012). Fuzzy Logic - Controls, Concepts, Theories and Applications. In Tech, Rijeka, Croatia, 1st Edition, 428 p. ISBN: 978-953-51-0396-7.
  • [8] Ivanov, V. (2015). A Review of Fuzzy Methods in Automotive Engineering Applications. European Transportation Research Review, 7:29.
  • [9] Furukawa, Y., Abe, M. (1997). Advanced Chassis Control Systems for Vehicle Handling and Active Safety. Vehicle System Dynamics, 28: 59-86.
  • [10] Aly, A.A., Zeidan, E.S., Hamed, A. Salem, F. (2011). An Antilock-Braking Systems (ABS) Control: A Technical Review. Intelligent Control and Automation, 2: 186-195.
  • [11] Ghaemi, S., Khanmohammadi, S., Tinati, M. (2010). Driver's Behavior Modeling Using Fuzzy Logic. Mathematical Problems in Engineering, vol. 2010, Article ID 172878.
  • [12] Plochl, M., Edelmann, J. (2007). Driver Models in Automobile Dynamics Application. Vehicle System Dynamics, 45:699–741.
  • [13] Pauwelussen J.P. (1999). Vehicle Performance, Swets&Zeitlinger, Lisse, The Netherlands, 1st Edition, 250 p. ISBN: 90 265 1542 1.
  • [14] Mastinu, G., Ploechl, M. (2014). Road and Off-Road Vehicle System Dynamics Handbook, CRC Press, NW, USA, 1st Edition, 1708 p. ISBN: 13:978-1-4200-0490-8.
  • [15] Hessburg T.,Tomizuka, M. (1994). Fuzzy Logic Control for Lateral Vehicle Guidance. IEEE Control Systems, 14: 55–63.
  • [16] Hessburg, T.,Tomizuka, M. (1995). Fuzzy Logic Control For Lane Change Maneuvers In Lateral Vehicle Guidance. California Partners for Advanced Transit and Highways (PATH). UC Berkeley: California Partners for Advanced Transportation Technology. Retrieved from: http://escholarship.org/uc/item/4zs9k1vx [Accessed 20 October 2017].
  • [17] Uzunsoy, E., Olatunbosun, O.A. (2003). A generic fuzzy pilot and path planning for vehicle handling dynamics simulation studies (SAE 2003 Transactions - journal of passenger cars: electronic and electrical systems, p.767. SAE paper 2003-01-2263, 2003.
  • [18] dos Santos, D., Cabral, E. (2008). A Novel Method for Controlling an ABS (Anti-lock Braking System) for Heavy Vehicle. SAE Technical Paper 2008-36-0039.
  • [19] Jalali, K., Uchida, T., McPhee, J., Lambert, S. (2012). Development of a Fuzzy Slip Control System for Electric Vehicles with In-wheel Motors. SAE International Journal Alternative Powertrains, 1(1):46-64.
  • [20] Ferro, J.,P., C. (2014). Design and Simulation of an ABS Control Scheme for a Formula Student Prototype. MSc Thesis, Tecnico Lisboa.
  • [21] Mauer, G., F. (1995). A Fuzzy Logic Controller for an ABS Braking System. IEEE Transactions on Fuzzy Systems, 3(4): 381-388.
  • [22] Minh, V., Oamen, G., Vassiljeva, K., Teder, L. (2016). Development of Anti-lock Braking System (ABS) for Vehicles Braking. Open Engineering, 6(1):554-559.
  • [23] Aksjonov, A., Vodovozov, V., Petlenkov, E. (2016). Design and Experimentation of Fuzzy Logic Controlfor an Anti-Lock Braking System. 15th Biennial Baltic Electronics Conference (BEC). Tallinn, Estonia on October 3-5, 2016.
  • [24] Tang, Y., Wang, Y., Han, M., Lian, Q. (2016). Adaptive Fuzzy Fractional-Order Sliding Mode Controller Design for Antilock Braking Systems. ASME Journal of Dynamic Systems, Measurement and Control, 138(4):041008 8p.
  • [25] Ding, N., Taheri, S. (2009). An adaptive integrated algorithm for active front steering and direct yaw moment control based on direct Lyapunov method. Information and Control. Vehicle System Dynamics, 48(10): 1193-1213.
  • [26] Jin, L., Xie, X., Shen, C., Wang, F., Wang, F., Ji, S., Guan, X., Xu, J. (2017). Study on Electronic Stability Program Control Strategy Based on the Fuzzy Logical and Genetic Optimization Method. Advances in Mechanical Engineering, 9(5): 1–13
  • [27] Boada, M.J.L., Boada, B. L., Munoz, A., Diaz, V. (2006). Integrated Control of Front-Wheel Steering and Front Braking Forces on the Basis of Fuzzy Logic, Proceedings of the Institution of Mechanical Engineers: Part D – Journal of Automobile Engineering. 220: 253–267.
  • [28] Jianhua, G., Liang, C., Feikun, Z., Liang, Y. (2011). Coordinated Control of AFS and ESP Based on Fuzzy Logic Method. International Conference on Mechatronic Science, Electric Engineering and Computer, August 19-22, 2011, Jilin, China.
  • [29] Goodarzi, A., Alirezaie, M. (2009). Integrated Fuzzy/Optimal Vehicle Dynamic Control. International Journal of Automotive Technologies. 10: 567.
  • [30] Yağiz, N., Sakman, L.E., Guclu, R. (2008). Different Control Applications on a Vehicle Using Fuzzy Logic Control. Sadhana, 33(1): 15- 25.
  • [31] Rao, V.C.D., Prahlad, V. (1997). A Tunable Fuzzy Logic Controller for Vehicle-Active Suspension Systems. Fuzzy Sets and Systems, 85: 11-21.
  • [32] Barr, A. J., Ray, J. I. (1996). Control of an Active Suspension using Fuzzy Logic. Proceedings of IEEE 5th International Fuzzy Systems, New Orleans, LA, 1, pp. 42-48.
  • [33] Al-Holou, N., Lahdhiri, T., Joo, D.J., Weaver, J., Al-Abbas, F. (2002). Sliding Mode Neural Network Inference Fuzzy Logic Control for Active Suspension Systems. IEEE Transactions on Fuzzy Systems, 10(2): 234-246.
  • [34] Gandhi, P., Adarsh, S., Ramachandran, K.I. (2017). Performance Analysis of Half Car Suspension Model with 4 DOF using PID, LQR, FUZZY and ANFIS Controllers. Procedia Computer Science, 115: 2-13.
  • [35] Lian, J.C. (2013). Enhanced Adaptive Self-Organizing Fuzzy Sliding-Mode Controller for Active Suspension Systems. IEEE Transactions on Industrial Electronics, 60(3): 958-968.
  • [36] Singh, A.S.P., Darus, I.Z.M. (2014). Active Roll Control Strategy Using Fuzzy Logic Control Active Suspension. WSEAS Transactions on Systems and Control, 9(1): 566-573.
  • [37] Kadir, Z. A., Hudha, K., Jamaluddin, H., Ahmad, F., Imaduddin, F. (2011). Active Roll Control Suspension System for Improving Dynamics Performance of Passenger Vehicle. Proceedings of 2011 International Conference on Modelling, Identification and Control, Shanghai, pp. 492-497.
  • [38] Kawashima, K., Uchida, T., Hori, Y. (2010). Rolling Stability Control of In-wheel Motor Electric Vehicle Based on Disturbance Observer, Motion Control, Federico Casolo (Ed.), In Tech, Available from: https://www.intechopen.com/books/motion-control/rolling-stability-control-of-in-wheelmotor-electric-vehicle-based-on-disturbance-observer [Accessed 31 October 2017].
There are 38 citations in total.

Details

Primary Language English
Journal Section Review Articles
Authors

Erdem Uzunsoy

Publication Date June 20, 2018
Published in Issue Year 2018Volume: 2 Issue: 1

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APA Uzunsoy, E. (2018). A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control. Journal of Innovative Science and Engineering, 2(1), 1-7.
AMA Uzunsoy E. A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control. JISE. June 2018;2(1):1-7.
Chicago Uzunsoy, Erdem. “A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control”. Journal of Innovative Science and Engineering 2, no. 1 (June 2018): 1-7.
EndNote Uzunsoy E (June 1, 2018) A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control. Journal of Innovative Science and Engineering 2 1 1–7.
IEEE E. Uzunsoy, “A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control”, JISE, vol. 2, no. 1, pp. 1–7, 2018.
ISNAD Uzunsoy, Erdem. “A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control”. Journal of Innovative Science and Engineering 2/1 (June 2018), 1-7.
JAMA Uzunsoy E. A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control. JISE. 2018;2:1–7.
MLA Uzunsoy, Erdem. “A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control”. Journal of Innovative Science and Engineering, vol. 2, no. 1, 2018, pp. 1-7.
Vancouver Uzunsoy E. A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control. JISE. 2018;2(1):1-7.
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