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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Torque Ripple Minimization and Control of a Permanent Magnet Synchronous Motor Using Multiobjective Extremum Seeking
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Torque Ripple Minimization and Control of a Permanent Magnet Synchronous Motor Using Multiobjective Extremum Seeking

机译：多目标极值搜索的永磁同步电动机转矩脉动的最小化和控制

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摘要

In this paper, a multiobjective extremum-seeking (MOES) approach is proposed for torque control of a permanent magnet synchronous motor and minimization of its torque ripple. The latter aspect is important in human-machine interface applications such as haptic interfaces requiring smooth torque profiles at slow speeds. The proposed MOES scheme combines an adaptive iterative learning control method with an adaptive proportional-integral (PI) controller, which makes the system less sensitive to load disturbances and improves the control performance for torque regulation during transient events. Experiments are performed on a proof-of-concept exercise machine that generates desired torque profiles and mechanical impedance based on users preference. The performance of the proposed controller is further compared with a recently proposed adaptive PI controller. The experimental results validate the effectiveness of the proposed controller in terms of torque ripple suppression, steady-state and transient performance, and load disturbance rejection.
机译：本文提出了一种多目标极值搜索（MOES）方法，用于永磁同步电动机的转矩控制和最小化其转矩脉动。后者在人机界面应用中很重要，例如需要在低速下获得平稳转矩分布的触觉界面。提出的MOES方案将自适应迭代学习控制方法与自适应比例积分（PI）控制器相结合，这使得系统对负载干扰的敏感性降低，并改善了瞬态事件中转矩调节的控制性能。在概念验证健身器上进行实验，该健身器会根据用户的喜好生成所需的扭矩曲线和机械阻抗。所提出的控制器的性能与最近提出的自适应PI控制器进行了进一步的比较。实验结果在转矩脉动抑制，稳态和瞬态性能以及负载干扰抑制方面验证了所提出控制器的有效性。

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