Based On Sliding Mode Control Be Used In Adaptive Cruise Control

The adaptive cruise control(ACC)system is a new generation of assisted driving system developed on the basis of traditional fixed-speed cruise control.The ACC system can reduce the driving burden and reduce traffic accidents caused by wrong driving and fatigue driving.Improve ride comfort,increase road traffic capacity,and reduce fuel consumption and exhaust emissions.Therefore,research on ACC systems is of great significance,both in terms of people,transportation,and the environment.Vehicle adaptive cruise system has been widely used in traditional vehicles.Since electric vehicles have changed the structure of traditional automobile power systems,the adaptive cruise control methods of traditional vehicles are difficult to apply directly to electric vehicles.Therefore,this paper conducts adaptive cruise for electric vehicles.the study.However,the vehicle system is a multi-variable,non-linear system with severe external environmental disturbances.There are many unfavorable factors such as parameter perturbation and external disturbance,which directly affects the performance improvement of the control system.In order to meet the needs of practical engineering applications,there is an urgent need to make breakthroughs in the adaptive cruise control method for electric vehicles to ensure the development of adaptive cruise systems for high-performance electric vehicles.Sliding mode control(SMC)is a nonlinear control method.It has strong robustness and high control precision for internal parameter perturbation and external disturbance,and its implementation is simple.The field of vehicle cruise control has received extensive attention.This paper focuses on the problems existing in the vehicle cruise system,and applies the sliding mode control technology to the vehicle cruise system to achieve high-precision control of the distance between the vehicle's cruiser and the relative speed of the workshop.The research work of this paper is as follows:(1)For the longitudinal kinematics of the workshop,the minimum sensor sliding mode variable structure control system based on the acceleration disturbance observer is designed.Secondly,aiming at the influence of the switching function of the sliding mode variable structure control algorithm,the problem of high-frequency chattering of control torque is generated.A double-powered approaching vehicle spacing control algorithm with fixed time convergence is proposed.Under the premise of greatness,the speed of convergence of the vehicle cruising system is guaranteed.(2)According to the driving style of different drivers,a super-layer control algorithm of dual-mode vehicle cruise system that fully reflects the driving characteristics of the driver is designed,which consists of smooth following mode,fast approach mode and fuzzy switching logic.It is proposed to propose a vehicle adaptive cruise fast approach mode for non-singular fast terminal sliding mode control.Aiming at the problems of slow convergence and "convergence stagnation" in the existing non-singular terminal sliding mode control methods,the exponential term design parameters in the original sliding surface are extended from fraction to positive real number field under the condition that the controller is not singular.,thereby increasing the flexibility of parameter selection.The introduction of fast terminal approach law increases the approach speed of the system state.(3)Electric vehicles are an uncertain nonlinear system that is susceptible to road models,wind speed,slope and load.The global sliding mode control has the advantage of global robustness and is suitable for solving the uncertainty problem of the vehicle cruise lower control system.Aiming at the shortcomings of the dynamic sliding mode surface of global sliding mode control which can not evolve into a linear sliding mode surface in a finite time,an improved global sliding mode control method is proposecd The dynamic sliding mode surface attenuation function is composed of three exponential function terms.A derivable function that attenuates to zero in a finite time,which allows the dynamic sliding surface to evolve into a linear sliding surface in a finite time.The RBF radial basis function neural network is used to estimate the range of uncertainty of the vehicle system online.