首页> 外文期刊>Journal of intelligent material systems and structures >Development, optimization, and control of a novel magnetorheological brake with no zero-field viscous torque for automotive applications
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Development, optimization, and control of a novel magnetorheological brake with no zero-field viscous torque for automotive applications

机译:开发,优化和控制新型零磁粘性转矩的磁流变制动器,用于汽车应用

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摘要

The significant energy loss due to viscous torque generation in the absence of the applied magnetic field is the main obstacle in the practical realization of magnetorheological brake in the automotive applications. In this study, a novel magnetorheological brake design having no viscous torque generation in the absence of applied magnetic field has been proposed. The Herschel–Bulkley constitutive model is employed to develop the mathematical equations governing the system’s braking torque. Magnetic circuit analysis of the proposed magnetorheological brake has been conducted to predict the magnetic field intensity in the magnetorheological fluid gaps. A multidisciplinary optimization problem has been formulated to identify the optimal brake parameters to maximize the braking toque while minimizing response time and weight of the magnetorheological brake under different constraints. Genetic algorithm combined with sequential quadratic programming algorithm has been utilized to find the true global optimal solution. The optimal design of the proposed magnetorheological brake provides a maximum braking torque of 1802 N m, a response time of 150 ms, and an overall weight just under 37 kg. Finally, braking performance of the proposed magnetorheological brake has been investigated in a quarter vehicle model where a proportional–integral–derivative controller has been integrated with the proposed magnetorheological brake to improve vehicle’s slipping on different road conditions.
机译:在没有应用磁场的情况下,由于产生粘性转矩而导致的大量能量损失是在汽车应用中磁流变制动器实际实现的主要障碍。在这项研究中,提出了一种新颖的磁流变制动器设计,在没有施加磁场的情况下不会产生粘性转矩。 Herschel-Bulkley本构模型用于开发控制系统制动扭矩的数学方程式。已经对提出的磁流变制动器进行了磁路分析,以预测磁流变液隙中的磁场强度。已经制定了一个多学科的优化问题,以识别最佳制动参数,以使制动扭矩最大化,同时在不同约束下使磁流变制动器的响应时间和重量最小化。遗传算法结合顺序二次规划算法已被用来寻找真正的全局最优解。所提出的磁流变制动器的最佳设计可提供最大制动扭矩1802 N m,响应时间150 ms和总重量仅37 kg。最后,在四分之一车辆模型中研究了拟议的磁流变制动器的制动性能,其中比例积分微分控制器已与拟议的磁流变制动器集成在一起,以改善车辆在不同路况下的打滑情况。

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