Research Of Active Braking System Based On Personification Intelligent Decision Planning Algorithm

With the tremendous development of the automobile industry,the number of cars keeps increasing.It brings convenience to people's lives,meanwhile,the traffic safety problem is also increasingly prominent.In recent years,with the mature application of precision and intelligent technology,the research of intelligent vehicle has become one of the most popular topics.As an important active safety technology of intelligent vehicle,active braking system has attracted more and more attention from researchers.Most of the existing researches focus on how to improve the braking performance of braking system,ensure system safety,and do not give consideration to comfort.Therefore,this paper simulates the deceleration characteristics of experienced drivers in the case of pre judging braking collision avoidance and sudden emergency braking,and designs a humanized intelligent decision-planning algorithm,which enables the active braking system to take into account safety and comfort simultaneously.First of all,the related research status at home and abroad is analyzed,and the advantages and disadvantages of these researches are pointed out.A general scheme of active braking system based on the artificial intelligence decision-planning algorithm is designed,including active brake system actuator scheme and control algorithm scheme.Then,a humanoid intelligent decision-planning algorithm is designed.To make decision whether open the active braking system based on DRV safety distance model,and establish a braking current characteristic of personification rule function under different typical road conditions,combined with actual wheel slip rate,replanning the expected optimal braking current to get the actual optimum braking current,the input to the actuator mechanical of brake by wire.Through CarSim/Simulink co-simulation,the effectiveness of the algorithm is verified,and compared with the traditional hydraulic emergency braking system,the results show that the designed active braking system has better braking performance and can take into account the safety and comfort of the system.And then,the adaptive fuzzy sliding mode control algorithm based on linearization feedback is applied to further optimize the humanized intelligent decision-planning algorithm,and complete the precise control of the optimal slip rate.Through the joint simulation of CarSim/Simulink,and the logic threshold control strategy for comparison,verify the adaptive fuzzy sliding mode control based on feedback linearization has faster,better tracking performance,significantly better than logic threshold control strategy,and further improve the performance of active braking system.Finally,to further verify the effectiveness of intelligent decision-planning algorithm and the active braking system,the test platform was built based on a smart vehicle,test results show that the response time and adjust time of active braking system actuator meet the requirements,and the robustness of the controller is relatively good,basically consistent with the simulation result.It provides a reference for the future research of the active braking system.