Ground vehicles in the complex will be the role of force and torque, suspension system can effectively alleviate the impact of road surface roughness on the body load. Bad driving off-road vehicle traffic complex, suspension displacement of large, nonlinear damping characteristics and time variability significantly, while the passive suspension system parameters can not be adjusted in real time, it is necessary to develop off-road vehicle active suspension technology. ADAMS analysis software, provides a large displacement, nonlinear analysis to solve function, the CAR specialized modules, the physical model of the vehicle can translate into a mathematical model of multi-body dynamics to get more accurate quantitative analysis. MATLAB-SIMULINK module can effectively achieve a variety of modern control methods. Taking a light off-road vehicle for the study, first of all to ADAMS / CAR as a platform to build a vehicle dynamics model. Off-road vehicle based on the key hard points, quality parameters, to modify the template and components to build a roll bar model, wheel model, body model, brake models; in the analysis of CAR's powertrain based on the template, add the communication device and the movement vice, the establishment of a support-wheel-drive powertrain model; modified double wishbone independent suspension template parameter for the active suspension, by ADAMS / Control to establish the input variable, add the transfer based on the input variables Actuator, completed the first , after the double-wishbone independent suspension (active, passive) model. Second, by analyzing the independent suspension kinematics and elastic kinematics evaluation of the former double wishbone independent suspension model is beating around the wheel parallel to the test simulation, plus a load input test simulation, the vertical force of the roll input test simulation, analysis test camber, toe angle, kingpin inclination, caster angle, suspension stiffness and the variation of the impact of handling and stability.Finally, the establishment of the Active Suspension System with ADAMS / CAR vehicle model, through the MATLAB / Simul ink to achieve joint control, compared with active double wishbone suspension with passive vehicle and the entire double-wishbone suspension car road driving conditions in the random manipulation of stability and ride comfort. Based on the analysis of various control methods, decentralized control theory proposed by the first vehicle with a vertical, roll, pitch control objective decoupling control for the four interrelated objectives, through the decoupling matrix to retain the advantages of linear control, and then with PID control, fuzzy control and neural fuzzy PID control of joint simulation. Joint Simulation results show that: PID Control of Active Suspension performance is better than passive suspension, body vertical acceleration and pitch angular acceleration decreases; fuzzy PID control, fast response, robustness is better than PID control; neuro-fuzzy control, through the training data learning, inheritance, control of the first two advantages of optimal control performance.
Key words: off-road vehicles, active suspension, combined simulation, intelligent control
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