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合肥工业大学 机械工程学院,合肥 230009
Received:25 November 2024,
Published:15 January 2026
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杨广鑫,王飞,周龙,等. 基于正交试验法的磁流变液制动器设计和分析[J]. 机械传动,2026,50(1):32-39.
YANG Guangxin,WANG Fei,ZHOU Long,et al. Design and analysis of magnetorheological fluid brakes based on orthogonal test methods[J]. Journal of Mechanical Transmission,2026,50(1):32-39.
杨广鑫,王飞,周龙,等. 基于正交试验法的磁流变液制动器设计和分析[J]. 机械传动,2026,50(1):32-39. DOI: 10.16578/j.issn.1004.2539.2026.01.005.
YANG Guangxin,WANG Fei,ZHOU Long,et al. Design and analysis of magnetorheological fluid brakes based on orthogonal test methods[J]. Journal of Mechanical Transmission,2026,50(1):32-39. DOI: 10.16578/j.issn.1004.2539.2026.01.005.
目的
2
针对电动汽车用磁流变液制动器结构参数优化需求,明确关键结构参数对制动性能的影响规律,获取最优参数组合,为其设计与工程应用提供支撑。
方法
2
首先,基于制动性能影响因素分析,选取制动间隙宽度
h
、制动盘数量
n
、制动盘外圆半径
R
2
这3个关键因素;其次,以黏性制动力矩、常规制动力矩、最大制动力矩为评估指标,设计L₁₆(4³)正交试验;然后,通过Matlab/Simulink软件开展数值仿真与极差分析;最后,制作样机并完成试验验证。
结果
2
试验结果表明,零场下黏性制动力矩主要受制动间隙宽度影响,施磁后制动盘数量为首要影响因素,制动盘外圆半径次之;最优参数组合(
h
=1.5 mm、
n
=4、
R
₂=75 mm)下,常规制动力矩约为黏性制动力矩的68倍;输入电流为2.1 A时,最大输出制动力矩达240.3 N·m,通过调节磁场强度可实现制动力矩的无级调控。
Objective
2
To solve the problem of no direct mechanical or hydraulic connection between the brake actuator and the brake pedal in an electronic mechanical braking system
leading to no feedback of road feel
a brake pedal feeling simulator was proposed based on magnetorheological dampers.
Methods
2
Ansys/Maxwell and Matlab/Simulink were used as the platform. The structural design of the sinking brake pedal feeling simulator
the structural design of magnetorheological damper
magnetic circuit analysis and electromagnetic simulation were carried out respectively
and the simulation analysis of traditional proportional-integral-derivative (PID) and fuzzy adaptive PID control under different working conditions of the whole system was compared.
Results
2
The simulation results show that the brake pedal feeling simulator can track the characteristic curve of the traditional pedal well under different working conditions and has wide applicability. Compared with the traditional PID control effect
the fuzzy adaptive PID control has higher control precision and smaller control error
and has good application prospects.
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