TY - GEN
T1 - Improved Nonlinear Disturbance Observer-Based Command-Filtered Backstepping Control of Clamping Force for Electro-Mechanical Brakes
AU - Zhang, Hanning
AU - Xu, Xiangyang
AU - Yao, Kun
AU - Qiu, Longhui
AU - Wang, Shuhan
AU - Dong, Peng
N1 - Publisher Copyright:
©2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The electro-mechanical brake (EMB), as a Brake-by-Wire (BBW) system that generates clamping force through a torque motor and mechanical mechanism, features compact structure, fast response, and high control accuracy. This article designs an improved nonlinear disturbance observer-based command-filtered backstepping controller (INDOB-CFBSC) for EMB system, which tracks the clamping force using a clamping force estimator and effectively addresses the nonlinearity and uncertainty of the EMB system. Firstly, an EMB model including the torque motor, gearbox, flexibility-considered ball screw model, pressure-displacement relationship-considered clamping force model and friction is built. Particularly, a clamping force estimation method based on the extended least squares (ELS) is proposed, which transforms the clamping force tracking control into torque motor angular position tracking control. Then, a robust clamping force control strategy, INDOB-CDBSC, is proposed based on the command-filtered backstepping controller (CFBSC) and the improved nonlinear disturbance observer (INDOB). Finally, the test results under different operating conditions demonstrate that the INDOB-CDBSC strategy exhibits excellent tracking performance and robustness in the presence of nonlinearity and uncertainty in the EMB system.
AB - The electro-mechanical brake (EMB), as a Brake-by-Wire (BBW) system that generates clamping force through a torque motor and mechanical mechanism, features compact structure, fast response, and high control accuracy. This article designs an improved nonlinear disturbance observer-based command-filtered backstepping controller (INDOB-CFBSC) for EMB system, which tracks the clamping force using a clamping force estimator and effectively addresses the nonlinearity and uncertainty of the EMB system. Firstly, an EMB model including the torque motor, gearbox, flexibility-considered ball screw model, pressure-displacement relationship-considered clamping force model and friction is built. Particularly, a clamping force estimation method based on the extended least squares (ELS) is proposed, which transforms the clamping force tracking control into torque motor angular position tracking control. Then, a robust clamping force control strategy, INDOB-CDBSC, is proposed based on the command-filtered backstepping controller (CFBSC) and the improved nonlinear disturbance observer (INDOB). Finally, the test results under different operating conditions demonstrate that the INDOB-CDBSC strategy exhibits excellent tracking performance and robustness in the presence of nonlinearity and uncertainty in the EMB system.
KW - clamping force tracking
KW - command-filtered backstepping control
KW - electro-mechanical brake
KW - nonlinear disturbance observer
KW - nonlinearity
KW - uncertainty
UR - https://www.scopus.com/pages/publications/105034906046
U2 - 10.1109/ICCR67607.2025.11372074
DO - 10.1109/ICCR67607.2025.11372074
M3 - 会议稿件
AN - SCOPUS:105034906046
T3 - 2025 7th International Conference on Control and Robotics, ICCR 2025
SP - 126
EP - 134
BT - 2025 7th International Conference on Control and Robotics, ICCR 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Control and Robotics, ICCR 2025
Y2 - 4 December 2025 through 6 December 2025
ER -