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arXiv 2304.00720eess.SYcs.ARcs.SY
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双级执行器硬盘驱动器的数据驱动寻道跟踪控制

Data-Driven Track Following Control for Dual Stage-Actuator Hard Disk Drives

Nikhil Potu Surya Prakash, Joohwan Seo, Alexander Rose, Roberto Horowitz

AI总结:

本文提出一种频域数据驱动反馈控制设计方法,直接利用频率响应测量数据设计双级执行器硬盘驱动器的跟踪控制器,通过 H 无穷和 H2 范数约束优化扰动抑制并确保闭环稳定性与鲁棒性。

摘要:

本文提出一种频域数据驱动反馈控制设计方法,用于设计双级执行器硬盘驱动器的寻道跟踪控制器,作为 IFAC World Congress 2023(日本横滨)公开邀请赛道“双级执行器硬盘驱动器控制系统设计基准问题”的一部分。与传统控制器设计相比,该方法直接使用多个频率响应被控对象测量数据而非被控对象模型,从而提高了鲁棒性并避免了模型失配。扰动抑制及相应的误差最小化被表述为带有 H 无穷和 H2 范数约束的 H2 范数最小化问题。H 无穷范数约束用于整定闭环传递函数并确保闭环稳定性,H2 范数约束用于约束和/或最小化相关方差。

英文摘要:

In this paper, we present a frequency domain data-driven feedback control design methodology for the design of tracking controllers for hard disk drives with two-stage actuator as a part of the open invited track 'Benchmark Problem on Control System Design of Hard Disk Drive with a Dual-Stage Actuator' in the IFAC World Congress 2023 (Yokohoma, Japan). The benchmark models are Compared to the traditional controller design, we improve robustness and avoid model mismatch by using multiple frequency response plant measurements directly instead of plant models. Disturbance rejection and corresponding error minimization is posed as an H2 norm minimization problem with H infinity and H2 norm constraints. H infinity norm constraints are used to shape the closed loop transfer functions and ensure closed loop stability and H2 norm constraints are used to constrain and/or minimize the variance of relevant.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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