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Dive into the research topics where Zhengshi Yu is active.

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Featured researches published by Zhengshi Yu.


Journal of Guidance Control and Dynamics | 2015

Observability-Based Beacon Configuration Optimization for Mars Entry Navigation

Zhengshi Yu; Pingyuan Cui; Shengying Zhu

In this paper, a novel observability analysis method of a nonlinear navigation system is proposed, and its application to the optimization of beacon configuration for Mars entry navigation is demonstrated. A Lie algebra-based approach to nonlinear observability is used to compute the observability matrix. The quadratic approximation to the Lie derivatives is then used to recursively calculate the observability matrix efficiently. Next, the inverse of the condition number of the observability matrix is chosen as a metric to evaluate the observability quality. To verify the accuracy and effectiveness of the proposed approach, Mars navigation scenarios with ranging measurements from multiple ground-based beacons are considered in simulation examples, and the optimal beacon configurations are obtained using a genetic algorithm. The extended Kalman filter is finally used to demonstrate the navigation performance. It is concluded that the proposed observability analysis method is able to optimize the beacon con...


AIAA Guidance, Navigation, and Control (GNC) Conference | 2013

Real-time Navigation for Mars Final Approach Using X-ray Pulsars

Pingyuan Cui; Zhengshi Yu; Shengying Zhu; Ai Gao

An accurate knowledge of Mars entry condition is the significant requirement for the successful aerocapture and pinpoint landing. In order to develop the real-time navigation scheme for Mars final approach, the feasibility of navigation embedded X-ray pulsar observations is verified, and the navigation performance is comparatively analyzed. In order to choose optimal navigation pulsars from pulsar candidates, the Fisher information matrix is utilized to evaluate the observability from the estimation theory point of view. The optimal navigation pulsars thus are selected such that the determinant of the Fisher information matrix is maximal. Two navigation scenarios based on the 2012 encounter at Mars of Curiosity spacecraft combining with X-ray pulsar based measurements are then considered to demonstrate the navigation performance. Furthermore, a series of research on the error ellipse in Mars B-plane and the distribution of estimated flight path angle indicate that Xray pulsar based navigation, which may provide more accurate knowledge of Mars entry condition, is a potential navigation scheme for Mars final approach in the future.


world congress on intelligent control and automation | 2012

Sequence detection of planetary surface craters from DEM data

Zhengshi Yu; Shengying Zhu; Pingyuan Cui

The research on identification and recognition of impact craters on planetary surface is focused on how to detect them from background. A novel sequence algorithm is proposed to crater detection that utilizes DEM data instead of images. By investigating the features of ideal craters, several constraints can be developed to extract candidate crater edges from other topographies. Based on the fact that the shape of most craters is approximate to an ellipse, the Least Median Square Ellipse Fitting Method can be used to exclude pseudo-edges, and to reserve the real edges which contain the feature of the crater. The location, orientation and other physical parameters of the crater can be determined by fitting real edges to an ellipse based on Robust Least Square Method. Mathematical simulations are performed with the moon DEM data. The results show that the topography-based crater detection algorithm offers an effective method for identification and characterization of ellipse-like impact craters, and the accuracy is high enough.


Automatica | 2018

Trajectory curvature guidance for Mars landings in hazardous terrains

Pingyuan Cui; Tong Qin; Shengying Zhu; Yang Liu; Rui Xu; Zhengshi Yu

Focusing on the trajectory curvature, this paper presents an innovative and analytical guidance law for the construction of geometrically convex trajectories. Moving along such trajectories, the lander can increase the probability of a safe landing in hazardous terrains. Initially, the curvature theorems of the powered descent trajectories are developed. In these theorems, the inner relationship between trajectory curvature and lander states is revealed, and the state constraints for a geometrically convex trajectory are derived. Next, the trajectory curvature guidance is developed in an analytical formulation by satisfying the state constraints for a convex trajectory, and the selection of the key guidance parameters is investigated. Finally, the performance of the trajectory curvature guidance is analyzed in detail, illustrating its superior hazard avoidance and the camera’s field of view.


Advances in Space Research | 2014

On the observability of Mars entry navigation using radiometric measurements

Zhengshi Yu; Pingyuan Cui; Shengying Zhu


Advances in Space Research | 2016

X-ray pulsars/Doppler integrated navigation for Mars final approach

Pingyuan Cui; Shuo Wang; Ai Gao; Zhengshi Yu


Acta Astronautica | 2015

Orbit optimization of Mars orbiters for entry navigation: From an observability point of view

Zhengshi Yu; Shengying Zhu; Pingyuan Cui


AIAA Guidance, Navigation, and Control Conference | 2016

An Observability-Based Trajectory Optimization Considering Disturbance for Atmospheric Entry

Zhengshi Yu; Zeduan Zhao; Pingyuan Cui


Acta Astronautica | 2017

A beacon configuration optimization method based on Fisher information for Mars atmospheric entry

Zeduan Zhao; Zhengshi Yu; Pingyuan Cui


Acta Astronautica | 2017

Intelligent landing strategy for the small bodies: from passive bounce to active trajectory control

Pingyuan Cui; Yanjie Liu; Zhengshi Yu; Shengying Zhu; Wei Shao

Collaboration


Dive into the Zhengshi Yu's collaboration.

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Pingyuan Cui

Beijing Institute of Technology

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Shengying Zhu

Beijing Institute of Technology

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Rui Xu

Beijing Institute of Technology

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Zeduan Zhao

Beijing Institute of Technology

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Ai Gao

Beijing Institute of Technology

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Menglong Cao

Qingdao University of Science and Technology

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Shuo Wang

Beijing Institute of Technology

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Xu Yuan

Beijing Institute of Technology

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Yanjie Liu

Beijing Institute of Technology

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Enjie Luan

Harbin Institute of Technology

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