控制理论(社会学)
陀螺仪
数学
有界函数
振动结构陀螺仪
凸优化
正多边形
数学分析
计算机科学
物理
控制(管理)
几何学
量子力学
人工智能
作者
Mehran Hosseini‐Pishrobat,Jafar Keighobadi
出处
期刊:Robotica
[Cambridge University Press]
日期:2018-11-09
卷期号:37 (3): 481-501
被引量:27
标识
DOI:10.1017/s0263574718001133
摘要
SUMMARY This paper reports an extended state observer (ESO)-based robust dynamic surface control (DSC) method for triaxial MEMS gyroscope applications. An ESO with non-linear gain function is designed to estimate both velocity and disturbance vectors of the gyroscope dynamics via measured position signals. Using the sector-bounded property of the non-linear gain function, the design of an $\mathcal{L}_2$ -robust ESO is phrased as a convex optimization problem in terms of linear matrix inequalities (LMIs). Next, by using the estimated velocity and disturbance, a certainty equivalence tracking controller is designed based on DSC. To achieve an improved robustness and to remove static steady-state tracking errors, new non-linear integral error surfaces are incorporated into the DSC. Based on the energy-to-peak ( $\mathcal{L}_2$ - $\mathcal{L}_\infty$ ) performance criterion, a finite number of LMIs are derived to obtain the DSC gains. In order to prevent amplification of the measurement noise in the DSC error dynamics, a multi-objective convex optimization problem, which guarantees a prescribed $\mathcal{L}_2$ - $\mathcal{L}_\infty$ performance bound, is considered. Finally, the efficacy of the proposed control method is illustrated by detailed software simulations.
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