Hybrid Modelling and Damping Collaborative Optimisation of Five-Suspensions for Coupling Driver-Seat-Cab System

For the complex structure and vibration characteristics of coupling driver-seat-cab system of trucks, there is no damping optimization theory for its suspensions at present, which seriously restricts the improvement of vehicle ride comfort. Thus, in this paper, the seat suspension was regarded as ‘the fifth suspension’ of cab, the ‘Five-suspensions’ for this system was proposed. Based on this, using the mechanism modelling method, a 4 degree-of-freedom coupling driver-seat-cab system model was presented; then, by the tested cab suspensions excitation and seat acceleration response, its parameters identification mathematical model was established. Based on this, taking optimal ride comfort as target, its damping collaborative optimization mathematical model was built. Combining the tested signals and a simulation model with the mathematical models of parameters identification and damping collaborative optimization, a complete flow of hybrid modelling and damping collaborative optimization of Five-suspensions was presented. With a practical example of seat and cab system, the damping parameters were optimized and validated by simulation and bench test. The results show that the model and method proposed are correct and reliable, providing a valuable reference for the design of seat suspension and cab suspensions.


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  • Accession Number: 01603943
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 30 2016 3:01PM