基于滑模自抗扰的电制动系统动态负载模拟*

doi:10.19562/j.chinasae.qcgc.2020.02.001

Abstract

Abstract: To accurately emulate the nonlinear mechanical loads of the electric braking system with consideration of the backlash and elasticity in a transmission system, a dynamometer control algorithm based on an adaptive fuzzy sliding mode active disturbance rejection control is proposed. Firstly, the mechatronics model for a front axle drive electric vehicle and the test bench with the integrated induction motor model is established, and the typical normal braking and anti-lock braking control strategies are introduced as the test objects. Then, an extended state observer is constructed to estimate the unmodelled dynamics of the test bench system, and the adaptive fuzzy sliding mode control is adopted as the dynamometer regulator to emulate the highly nonlinear mechanical loads. Finally, simulations of bench tests on the braking control strategies are carried out. The results show that the proposed method can accurately simulate the dynamic load of the electric braking system and effectively improve the bench test accuracy of the braking control algorithm

Key words: electric vehicle, electric braking system, dynamometer, load emulation, adaptive fuzzy sliding mode control, extended state observer

Ma Ruihai, Wang Lifang, Zhang Junzhi, He Chengkun. Sliding Mode Active Disturbance Rejection Control for Dynamic Load Emulation of the Electric Braking System[J].Automotive Engineering, 2020, 42(2): 141-148.

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Sliding Mode Active Disturbance Rejection Control for Dynamic Load Emulation of the Electric Braking System

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