J
Jianye Liu
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 13
Citations - 181
Jianye Liu is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Inertial navigation system & Allan variance. The author has an hindex of 7, co-authored 13 publications receiving 138 citations.
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The Compensation Effects of Gyros' Stochastic Errors in a Rotational Inertial Navigation System
TL;DR: The compensation effects of gyros' stochastic errors, which are modelled as a Gaussian white (GW) noise plus a first-order Markov process, are analysed and the specific formulae are derived and show a good consistency with the derivedformulae, which can indicate the correctness of the theory.
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Autonomous cyanobacterial harmful algal blooms monitoring using multirotor UAS
Lyu Pin,Yasir Malang,Hugh H. T. Liu,Jizhou Lai,Jianye Liu,Bin Jiang,Mingzhi Qu,Stephen Anderson,Daniel D. Lefebvre,Yuxiang Wang +9 more
TL;DR: In this article, an autonomous multi-rotor unmanned aerial system (UAS) was used for cyanobacterial harmful algal blooms (CHABs) monitoring, and experimental results show that the autonomous UAS is a promising enabling technology to contribute to a novel CHABs detection method.
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A Thrust Model Aided Fault Diagnosis Method for the Altitude Estimation of a Quadrotor
TL;DR: Real-flight data is used to validate the proposed approaches, showing that the faults of the z-axis accelerometer and the barometer can both be detected and the thrust model of a quadrotor can be used to replace the faulty z- axis accelerometer.
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Noncommutativity Error Analysis of Strapdown Inertial Navigation System under the Vibration in UAVs
TL;DR: The UAV's vibration form is discussed and is modelled as a sinusoidal angular vibration and a random angular vibration, and the effect of a multi-sample algorithm is explored, which is an effective method for compensating for noncommutativity errors in cases of coning motion.
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Robust adaptive tracking control for unmanned helicopter with constraints
TL;DR: A prescribed performance-based adaptive neural network control scheme is proposed for an uncertain small-scale unmanned helicopter system subject to input saturations and output constraints and the closed-loop system stability is rigorously proved using Lyapunov synthesis.