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Design and shape optimization of MR brakes using Nelder–Mead optimization algorithm

机译：使用Nelder-Mead优化算法设计与形状优化MR刹车

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摘要

Magnetorheological (MR) brakes have attracted many attentions for controlling mechanical systems such as robots, e-bicycles, and haptic devices. A large number of researchers have delved into enhancing MR brake effectiveness. Herein, a new MR brake is proposed in which the braking torque is improved and the configuration is simplified. Numerical simulations were based on finite element method (FEM) was employed to achieve the brake model. In order to verify the obtained results, they were compared with the available ones in the literature and they have a good agreement with each other. Then, the proper brake model was optimized using Nelder–Mead optimization algorithm. Results demonstrated 215.75?N?m braking torque in the present prototype which is almost 73% higher than the previous model in the literature. In addition, the brake could induce about 125.06?N?m torque on the brake disk with nearly half of the coil current used in the previous work. Besides, increase in the number of the disks was not necessarily improved braking efficiency and the size of the MR fluid gaps also influenced the brake operation. In addition, the proposed model in this paper has ease manufacturing procedure which would reduce the fabrication costs.
机译：磁流变（MR）制动器吸引了许多用于控制机器人，电子自行车和触觉装置等机械系统的注意力。大量的研究人员已经预见了提高MR制动效果。这里，提出了一种新的MR制动器，其中改善了制动扭矩并且简化了配置。使用数值模拟基于有限元方法（FEM）来实现制动模型。为了验证所获得的结果，将它们与文献中的可用效果进行比较，他们彼此有良好的一致。然后，使用Nelder-Mead优化算法进行了适当的制动模型。结果在本地原型中展示了215.75？N？M制动扭矩，比上述文献中的前一个模型高近73％。此外，制动器可以在制动盘上诱导约125.06Ω·米扭矩，其中近一半的线圈电流中使用的近一半。此外，磁盘的数量的增加不一定提高制动效率，并且MR流体间隙的尺寸也影响了制动操作。此外，本文所提出的模型具有减少制造过程，这将降低制造成本。

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