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Suspension Control-based Vehicle Ride Comfort Simulation
Author: GuoJunFeng
Tutor: ChenDingYue
School: Chang'an University
Course: Vehicle Engineering
Keywords: Active Suspension Control strategy Dynamic Simulation
CLC: U461.4
Type: Master's thesis
Year: 2010
Downloads: 183
Quote: 2
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Abstract
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Suspension as an important part in the car, is a more difficult to achieve the perfect assembly required, because the suspension is necessary to meet the requirements of riding comfort, but also to meet the requirements of the handling and stability, and these two aspects of suspension conflicting requirements. Vehicle active suspension between the body and the wheels according to road conditions and timely initiative to adjust the control to generate the required. Suppress the vibration of the body, the suspension is the optimal damping state, to achieve the purpose of improving vehicle ride comfort and handling stability. Vehicle active suspension design one of the key tasks is to seek a control law to provide good performance for the vehicle. Many scholars have proposed a variety of control theory, introduced these types of common control algorithm and focus on the optimal controller, PID control, fuzzy control, fuzzy PID control four control strategies. As a classic and practical control, PID control algorithm with a small amount of calculation, real-time, easy to achieve, and so, so this topic using PID control as the basic control strategy, and design a PID controller. The advantage obtained through the minimization of the evaluation index based on the system state variables and an optimal overall performance index optimal control, the state variables can be selected according to need. Choose not to rely on accurate mathematical model of the system is insensitive to parameter variations, and has a strong robustness, especially suitable for the control of fuzzy nonlinear, time-varying delay system control and fuzzy control algorithm is based on a number of fuzzy control rules, the algorithm is very simple, and then the fuzzy controller design. Fuzzy PID control to achieve a combination of fuzzy control and PID control PID controller parameters online self-tuning, to further improve the performance of the PID controller. This topic combination of the two control strategies to eliminate their respective disadvantages fuzzy PID controller. Through the establishment of a 1/4 vehicle model, the application of the four control theory of active suspension controller design in Matlab / Simulink environment to create a system model and simulation. The simulation results of comparative analysis of simulation results of the passive suspension. By contrast, a comprehensive analysis of the performance characteristics of active suspension under four different control strategies. Simulation results show that: the active suspension under the four ways to reduce the body acceleration, suspension deflections, wheel dynamic load. This shows quite good for to ride ride comfort and handling stability improvement results. Fuzzy PID control works best in the four control strategies.
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CLC: > Transportation > Road transport > Automotive Engineering > Car theory > Car ride and comfort
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