面向主動安全的預(yù)緊式安全帶控制策略研究
[Abstract]:With the rapid growth of the number of motor vehicles in China, people pay more and more attention to traffic safety problems. Passive safety technology, as a traditional field of safety technology, has been unable to meet the needs of human traffic safety. Active safety technology has been paid more and more attention. As the earliest passive safety technology, seat belt restraint system plays an important role in reducing the damage to drivers. However, the traditional seat belt does not have the function of active warning and pre-tightening. Therefore, it is very important to explore the traditional seat belt restraint system in active safety technology. In this paper, the pre-fastening seat belt designed for active safety has three functions: early warning, active preloading and limiting force, which breaks the limitation of traditional seat belt system as passive safety technology. The active safety technology is used to predict the accident in time and take active measures to protect the safety of the driver's life and property more effectively. In this paper, the control technology of pre-fastening seat belt for active safety is studied. The main control chip of the system is a 16-bit MC9S12DP256 microcontroller developed by Freescale Company. The pre-tightening signal mainly includes the distance signal measured by the ultrasonic ranging sensor and the braking signal measured by the brake pedal force sensor. The feedback signal of the system is the armature current signal collected by Hall current sensor. The PID algorithm of BP neural network is used to control the feedback signal with constant current, and the control function of the system is better. In this paper, the control performance of BP neural network PID is simulated based on Matlab/Simulink software, and the mechanical structure of the traditional gunpowder prefastening seat belt is designed and modified according to the simulation results. At the same time, in order to verify the feasibility of the control strategy, the hardware circuit of controller based on MC9S12DP256 is designed and manufactured, a set of prototype is produced, and a pre-tightening seat belt test-bed is built. The simulation and experiment show that the PID control of the BP neural network has better following performance, anti-interference and robustness, and the control performance is better than the traditional PID control, and can meet the requirements of real-time control. The pre-fastening seat belt for active safety has the function of early warning, and can drive the reel of the belt reel by controlling the driving motor, so as to realize the control of the belt and achieve the purpose of active pre-tightening. At the same time, the system can control the tension of the belt, avoid the damage caused by the belt too tight to the driver, play the role of limiting force, and meet the need of active safety protection.
【學(xué)位授予單位】:天津職業(yè)技術(shù)師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:U491.61
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