汽車穩(wěn)定性控制算法仿真研究
[Abstract]:The stability of automobile when turning sharply is always an important content that affects the safety of automobile driving at high speed. When the automobile turns or changes lane at high speed, the automobile will produce yaw motion under the action of great centrifugal force. When the adhesion coefficient is low, the automobile will immediately sideslip, and once the sideslip occurs, the road surface will be changed. The lateral effect on the vehicle will be weakened rapidly, and the control effect of the driver on the vehicle through the steering wheel will become very obvious. The vehicle will lose its stability rapidly. Therefore, the design of stability controller for automobile steering is a complicated nonlinear problem. According to the research status of automobile stability at home and abroad, this paper introduces the research status and working principle of automobile stability control system at home and abroad, analyzes the causes of automobile side slip, and selects two kinds of stability controller for automobile. The control parameters and control strategies are proposed and studied by genetic optimization PID control algorithm. The main contents of this paper are as follows: 1. The causes of vehicle sideslip are analyzed. Then the effects of yaw rate and center of mass sideslip angle on vehicle stability are studied according to the two-degree-of-freedom model of ideal vehicle. The yaw rate and center-of-mass side-slip angle are selected as the control parameters of the vehicle stability control system. Through these two control parameters, how to judge the driving state of the vehicle, and then the corresponding control strategy is formulated. 2. In ADAMS/Car, the virtual model of the main parts of the vehicle is established and finally combined into the model of the whole vehicle virtual prototype. In MATLAB/Simulink, the simulation block diagram of the control system is built by modules with different functions, and the co-simulation of multi-body dynamics system and closed-loop control system is realized by the joint simulation technology of MATLAB and ADAMS. 3. The PID control algorithm and genetic optimization PID control algorithm are studied, and the simulation block diagram is built on MATLAB/Simulink. The simulation results of the two algorithms are analyzed and compared. 4. The influence of different vehicle structure parameters on vehicle stability control parameters is also compared under the genetic optimization PID control algorithm. Both the amplitude and overshoot of the sideslip angle of the center of mass decrease obviously, and the stability of the vehicle is improved remarkably. The vehicle quality and the position of the center of mass have obvious influence on the vehicle stability control parameters.
【學(xué)位授予單位】:上海工程技術(shù)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:U461.6
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