Study on electronic stability program control strategy based on the fuzzy logical and genetic optimization method

Abstract

This article introduces the b phase plane method to determine the stability state of the vehicle and then proposes the electronic stability program fuzzy controller to improve the stability of vehicle driving on a low adhesion surface at high speed. According to fuzzy logic rules, errors between the actual and ideal values of the yaw rate and sideslip angle can help one achieve a desired yaw moment and rear wheel steer angle. Using genetic algorithm, optimize the fuzzy controller parameters of the membership function, scale factor, and quantization factor. The simulation results demonstrate that not only the response fluctuation range of the yaw rate and sideslip angle, but also the time taken to reach steady state are smaller than before, while reducing the vehicle oversteer trend and more closer to neutral steering. The optimized fuzzy controller performance has been improved.

Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation

“…Without regard to the effect of longitudinal forces on the tires, according to the Equations (4) and (5), the expected yaw rate can be limited as Equation (6). Combining equations = • and = • can obtain Equation 7, and the limits of the desired side slip angle can be obtained and defined as Equation (8).…”

“…Yue Xiaowei et al of Tsinghua University used the magic tire formula to develop a vehicle stability control system (VSC in short) based on PID control and differential braking control [7]. Linsheng Jin et al used the GIM tire model to propose a fuzzy logic controller based on the automotive electronic stability controller system to improve the stability of the vehicle at high speed on low-attached roads [8]. Matteo Corno et al used the Burkhartd tire model to solve the problem of active lateral dynamics control during braking of four-wheeled vehicles [9].…”

“…Based on the research results that have been put forward by researchers in the industry [1][2][3][4][5][6][7][8][9], an ESC control algorithm with the tire force sensor to measure the three-component force of the tire is proposed. Based on the consideration of the longitudinal and lateral adhesion limits of the tires, the optimal yaw moment is determined by linear optimal control, and the brake wheel cylinder pressure is obtained by the algorithm combining feedforward compensation and feedback correction.…”

Vehicle direct yaw moment control system based on the improved linear quadratic regulator

“…Several types of yaw moment control systems have been proposed for vehicle driving safety. In particular, vehicle direct yaw moment (DYC) control technology (Yue and Fan, 2018; Jin et al , 2017a, 2017b, 2017c; Guo et al , 2018a, 2018b; Zhai et al , 2018) is widely used. The emphases of the control system technology research are as follows: tracking the ideal yaw rate for vehicles to ensure good handling stability for the vehicle (Mashadi and Gowdini, 2015; Yang et al , 2009; Qin and Zou, 2015; Goodarzi and Alirezaie, 2009); and inhibiting increases in the vehicle side-slip angle and reduces the error between the actual driving track and the ideal track as much as possible (Ding et al , 2010; Gao et al , 2015; Wang et al , 2008).…”

“…To study the dynamic characteristics of a distributed electric vehicle and establish the simulation experiments, an 8-degrees-of-freedom (DOF) vehicle dynamics model with the GIM tire model (Jin et al , 2017a, 2017b, 2017c; Gao et al , 2017) was established following the literature methods.…”