Designing Sliding Mode Observer for Estimation ofHelicopter Oscillatory States during Hover Flight
Publish place: 3rd International Conference on Acoustic and Viberation
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,185
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ISAV03_156
تاریخ نمایه سازی: 29 تیر 1393
Abstract:
The concentration of this study is to introduce a state estimation technique designed for estimatingthe oscillatory states of a small scale helicopter such as Euler and flapping angles. Towardthis objective, first the mathematical model of a single main rotor helicopter (SMRH) is derived.Depending to the fact that the mathematical model of a SMRH is a set of nonlinear and unstabledifferential equations, a trim algorithm should be applied to the model prior to application of anyfurther estimation. In order to design a linear quadratic regulator (LQR) controller as the trimmingkernel, the linearized mathematical model of the SMRH is calculated numerically. Afterwards, toestimate the non-measurable states of a SMRH such as Euler and flapping angles, the design proceduresof the sliding mode observer (SMO) and Luenberger observer are described. For evaluatingperformance of the state estimation algorithms, error RMS of SMO and Luenberger observer is derived.System fails when the noise power is equal to 2 sec0.2 m ; with this noise power, the estimationerror RMS of SMO and Luenberger observer are equal to 4 0.99952 10^-4 and 0.0055 respectively.This results show better noise robustness of SMO estimation
Keywords:
Authors
m Youshi
Department of Mechanical Engineering, K. N. Toosi University of Technology
M.R Homaeinezhad
Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran
A.R Foroughimehr
Mechatronic Mechanisms Laboratory, K. N. Toosi University of Technology
B Rashidi
Mechatronic Mechanisms Laboratory, K. N. Toosi University of Technology,
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :