Neuro Model for Passive Suspension of a Light Car


  • Dirman Hanafi Universiti Tun Hussein Onn Malaysia
  • Kian Sek Tee Universiti Tun Hussein Onn Malaysia
  • Elmy Johana Universiti Tun Hussein Onn Malaysia
  • Hisyam Abdul Rahman Universiti Tun Hussein Onn Malaysia
  • Mohd Fua'ad Rahmat Universiti Teknologi Malaysia
  • Herman Wahid Universiti Teknologi Malaysia
  • Rozaimi Ghazali Universiti Teknikal Malaysia Melaka


Mathematical model, light car, passive suspension, neuro model, artificial road surface


The system model is neccessery to be determined in control systems engineering which is generally represented in mathematical form. The mathematical model can be utilized for analysing the system's characteristics or designing the controller parameters of the system. Here, a neuro model for passive suspension system of a light car is proposed. The candidate structure of the neuro model is contructed from non-linear system of passive suspension of a quarter car mathematical model. Weights estimation of neuro model is conducted by applying iterative weighted least square algorithm. Actual input output data of a test car for training process are acquired by driving the test vehicle on an artificial surface of road. An artificial surface of road is a kind of real road surface imitation. Experimental findings show that the proposed model is able to imitate sucessfully the dynamic properties of the passive suspension system of the light  car. The model response shows similar trend and has smallest error.


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Author Biography

Dirman Hanafi, Universiti Tun Hussein Onn Malaysia

Department of Mechatronic and Robotic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, Johor, Malaysia




How to Cite

Hanafi, D., Tee, K. S., Johana, E., Abdul Rahman, H., Rahmat, M. F., Wahid, H., & Ghazali, R. (2018). Neuro Model for Passive Suspension of a Light Car. International Journal of Integrated Engineering, 10(4). Retrieved from




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