Research on the multi-disciplinary design method for an integrated automotive steering and suspension system

The dynamic models of an integrated system based on active steering and an active suspension are established; these include a vehicle model, an active steering system model, an active suspension system model, a tyre model and a road input model. The performance evaluation indices of the integrated system are proposed, including the steering road feel, the steering sensitivity and the ride comfort. On the basis of the target cascading theory, an analytical target cascading method is researched. Considering the coupling factors of the integrated system, the optimization model of the integrated system is established with the target cascading method. Then, the parameters are optimized based on a multi-island genetic algorithm, and the optimized results are compared with those of the collaborative optimization method. Thus, a theoretical foundation and technical support for the integration design of the automotive chassis can be provided.

[1]  Ali Fiaz,et al.  Optimization of Semi-active Suspension System Using Particle Swarm Optimization Algorithm , 2013 .

[2]  Yi Lin,et al.  Control strategy of a novel electric power steering system integrated with active front steering function , 2011 .

[3]  Shapour Azarm,et al.  Multiobjective Collaborative Robust Optimization With Interval Uncertainty and Interdisciplinary Uncertainty Propagation , 2008 .

[4]  Naoaki Noguchi,et al.  Active Vibration Control Technology for Elevator Cars Considering Controllability , 2013 .

[5]  P. E. Uys,et al.  Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method, Part 2: Optimisation results , 2009, Math. Comput. Model..

[6]  Masanori Harada,et al.  Analysis of Lateral Stability with Integrated Control of Suspension and Steering Systems. , 1999 .

[7]  Shpetim Lajqi,et al.  Suspension and Steering Systems Design of the Modern Terrain Vehicles , 2014 .

[8]  Seung-Bok Choi,et al.  Integrated control on MR vehicle suspension system associated with braking and steering control , 2011 .

[9]  John McPhee,et al.  A design methodology for mechatronic vehicles: application of multidisciplinary optimization, multibody dynamics and genetic algorithms , 2005 .

[10]  Koichi Osuka,et al.  Active Steering Systems Based on Model Reference Adaptive Nonlinear Control , 2004 .

[11]  Yi Lin,et al.  Multi-objective optimization of active steering system with force and displacement coupled control , 2012 .

[12]  Zhou,et al.  Multi-objective Optimization of Differential Steering System of Electric Vehicle with Motorized Wheels , 2014 .

[13]  Jeremy J. Michalek,et al.  Balancing Marketing and Manufacturing Objectives in Product Line Design , 2006 .

[14]  Naohiro Yuhara,et al.  A new solution for two-bag air suspension system with leaf spring for heavy-duty vehicle , 2006 .

[15]  Panos Y. Papalambros,et al.  A SYSTEM PARTITIONING AND OPTIMIZATION APPROACH TO TARGET CASCADING , 1999 .

[16]  Wang Chunyan,et al.  Primary studies on integration optimization of differential steering of electric vehicle with motorized wheels based on quality engineering , 2011 .

[17]  Ahmed Elmarakbi,et al.  The Influence of Electronic Stability Control, Active Suspension, Driveline and Front Steering Integrated System on the Vehicle Ride and Handling , 2013 .