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Research on Control Strategy of Active Suspension Based on Co-simulations

Author: XinQian
Tutor: MaJian
School: Chang'an University
Course: Vehicle Engineering
Keywords: Active Suspension PID control Fuzzy PID Control Neural Network Control Co-simulation
CLC: U463.33
Type: Master's thesis
Year: 2011
Downloads: 55
Quote: 0
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Abstract


Suspension as an important part of the Department of the vehicle , has a great impact on the car's handling and stability and comfort . Active suspension control strategy , take the initiative to adjust and produce the desired control of the vibration of the body to control the vehicle always has good handling stability and ride comfort . And the merits of the control strategy of active suspension performance , so its been more and more attention . In this paper, based on co-simulation , analysis of research on a variety of control strategies . Filtered white noise road excitation time domain model and the suspension dynamics model , simplified mechanical model of the suspension system is established in ADAMS , set the input and output variables , select body vibration acceleration for control target , and CONTROLS plug to export subsystem can be used for co-simulation . According to the principle of PID control and fuzzy control theory, traditional PID controller ; line parameter self-tuning fuzzy -PID controller and fuzzy controller , the controller of fuzzy control part of the three - input controller is a dual-input , its output for the PID controller parameter adjustment coefficient ; composite controller switch between an automatically according to the size of the error value in fuzzy control and PID control . A brief introduction to the theory of neural network control , active suspension single neuron controller using S functions ; established by the BP neural network online identification , neural PID controller based on weight line adjustment online identification the neural PID control system . Respectively connected to the controller and the suspension model export module , co-simulation , its output vibration acceleration , suspension dynamic deflection , wheel dynamic load were analyzed and compared , to come to the pros and cons of different control strategies and characteristics .

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CLC: > Transportation > Road transport > Automotive Engineering > Automotive structural components > Travel System > Suspension
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