Journal
IEEE ACCESS
Volume 9, Issue -, Pages 19506-19515Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3052944
Keywords
Clamps; Brakes; Mathematical model; Force control; Torque; Sliding mode control; Force; Electromechanical brake (EMB); sliding-mode control (SMC); sliding-mode reaching law (SMRL); clamping force control; gap distance control
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Funding
- National Natural Science Foundation of China [51777170]
- Natural Science Basic Research Plan in Shaanxi Province of China [2019JM-462, 2020JM-151]
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This paper establishes a mathematical model of an electromechanical brake (EMB) system for low-floor trams and investigates an enhanced sliding-mode reaching law (ESMRL) to address the challenging clamping force control issues. Novel gap distance elimination and adjustment strategies are proposed to improve response quality and adjust gap distance in a simple and low-cost way. The proposed ESMRL enhances dynamic performance and tracking accuracy of clamping force control by minimizing chattering and reaching times. Simulation and experimental results validate the effectiveness and superiority of the proposed control strategy.
The control of clamping force has a significant influence on the braking performance of low-floor trams. However, the load torque variations, strong nonlinearity and complex structure of electromechanical brake (EMB) systems present challenging the clamping force control issues. In this paper, an EMB system mathematical model is established. Then, an enhanced sliding-mode reaching law (ESMRL) is investigated to address these issues. In addition, novel gap distance elimination and adjustment strategies are proposed to improve the response quality and adjust the gap distance in a simple and low-cost way. Taking advantages of minimal chattering and short reaching times, the proposed ESMRL enhances the dynamic performance and tracking accuracy of the clamping force control. Finally, simulation and experimental results are offered to validate the effectiveness and superiority of the proposed control strategy.
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