Parameter Adaptive Tracking Method for Hypersonic Vehicle with Variable Slip Frequency Model

In our previous research [Lee et al., 1995], we demonstrated that return map control and adaptive tracking method can be used together to locate, stabilize and track unstable periodic orbits (UPO) automatically. Our adaptive tracking method is based on the control bifurcation (CB) phenomenon which is another route to chaos generated by feedback control. Along the CB route, there are numerous driven periodic orbits (DPOs), and they can be good control targets if small system modification is allowed. In this paper, we introduce a new control concept of global bifurcation approximation (GBA) which is quite different from the traditional local linear approximation (LLA). Based on this approach, we also demonstrate that chaotic attractor can be induced from a periodic orbit. If feedback control is applied along the direction to chaos, small erratic fluctuations of a periodic orbit is magnified and the chaotic attractor is induced. One of the special features of CB is the existence of irreversible orbit (IO) which is generated at the strong extreme of feedback control and has irreversible property. We show that IO induces a hysteresis phenomenon in CB, and we discuss how to keep away from IO.

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Abstract No. 168: Bolus Chasing CT Angiography Using a Novel Adaptive Tracking Method

Journal of Vascular and Interventional Radiology ◽

10.1016/j.jvir.2007.12.187 ◽

2008 ◽

Vol 19 (2) ◽

pp. S64

Author(s):

M.J. Sharafuddin ◽

J. Golzarian ◽

J.J. Hoballah ◽

H. Abada ◽

Z. Cai ◽

...

Keyword(s):

Ct Angiography ◽

Tracking Method ◽

Adaptive Tracking

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Scale-Adaptive Tracking Method by Combining Kernelized Correlation Filter with Geometric Estimation

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2019.63.3.030501 ◽

2019 ◽

Author(s):

Bo Wang ◽

Yuyang Gao ◽

Wei Zhou ◽

Jianwei Bao ◽

Jiefei Peng ◽

...

Keyword(s):

Correlation Filter ◽

Tracking Method ◽

Adaptive Tracking

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Parameter Adaptive Terminal Sliding Mode Control of Flexible Coupling Air-Breathing Hypersonic Vehicle

International Journal of Aerospace Engineering ◽

10.1155/2020/9430272 ◽

2020 ◽

Vol 2020 ◽

pp. 1-17 ◽

Cited By ~ 1

Author(s):

Haibing Chen ◽

Wei Lin ◽

Tielin Ma ◽

Hengxian Jin ◽

Cheng Xu

Keyword(s):

Strong Coupling ◽

Sliding Mode ◽

Coupling Model ◽

Hypersonic Vehicle ◽

Control Law ◽

Terminal Sliding Mode ◽

Flexible Coupling ◽

Air Breathing ◽

Highly Nonlinear ◽

Parameter Adaptive

The highly nonlinear and coupling characteristics of a flexible air-breathing hypersonic vehicle create great challenges to its flight control design. A unique parameter adaptive nonsingular terminal sliding mode method is proposed for longitudinal control law design of a flexible coupling air-breathing hypersonic vehicle. This method uses adaptive reaching law gain instead of the additional adaptive compensation term to handle the uncertainty to improve robustness. The stability of the close loop system is proved via a Lyapunov way. The longitudinal tracking control law for velocity and angle of attack is designed based on a rigid dynamic model of a flexible air-breathing hypersonic vehicle. A strong coupling model of the same vehicle, considering aerodynamic-scramjet engine-flight dynamic-elastic couplings, is established as the verification platform of the designed control law. The remarkable differences of flight dynamic characteristics between this strong coupling model and the rigid body model can be seen, which mean the controller needs to endure very great uncertainty, unmodeled dynamics, and other types of internal disturbance. Simulation results based on the coupling model demonstrate that the designed control law has good performance and acceptable robustness.

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Adaptive Tracking Method for Non-Cooperative Continuously Thrusting Spacecraft

Aerospace ◽

10.3390/aerospace8090244 ◽

2021 ◽

Vol 8 (9) ◽

pp. 244

Author(s):

Juqi Yin ◽

Zhen Yang ◽

Yazhong Luo

Keyword(s):

Kalman Filter ◽

Estimation Accuracy ◽

Interacting Multiple Model ◽

Multiple Model ◽

Tracking Method ◽

Adaptive Tracking ◽

Convergence Performance ◽

Model Set ◽

Traditional Approaches ◽

A Current

Performance of the traditional Kalman filter and its variants can seriously degrade when they are used to track a non-cooperative continuously thrusting spacecraft. To overcome this shortcoming, an adaptive tracking method for relative state estimation of a non-cooperative target is proposed based on the interacting multiple model (IMM) algorithm. First, built upon a current statistical jerk (CSJerk) model, a robust CSJerk filtering (RCSJF) algorithm is developed, which can address the issue of low estimation accuracy and instability of traditional approaches at the moments when the spacecraft starts and ends thrusting. Second, the developed RCSJF algorithm is further used to form the model set of the IMM by incorporating different maximum jerk values, based on which an adaptive tracking method is presented that can track a non-cooperative target with different maneuvering levels. Simulation results show that the proposed method can effectively track the target across all thrusts levels under the conditions considered, and the convergence performance of the proposed method is improved in comparison to the CSJerk-based extended Kalman filter, especially at the start and end time of the maneuver.

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An Improved Algorithm on Adaptive KLT Vision Tracking

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.631-632.1270 ◽

2013 ◽

Vol 631-632 ◽

pp. 1270-1275

Author(s):

Yuan Min Liu ◽

Lian Fang Tian

Keyword(s):

State Of The Art ◽

Tracking System ◽

Tracking Algorithm ◽

Experimental Results ◽

Feature Points ◽

Backward Error ◽

Tracking Method ◽

Adaptive Tracking ◽

Conventional Methods ◽

Measurement Validity

In view of the shortage of the KLT (Kanade-Lucas-Tomasi) tracking algorithm, an improved adaptive tracking method based on KLT is proposed in this paper, in which a kind of filtering mechanism is applied to decrease the effects of noise and illumination on tracking system. In order to eliminate the error of tracking, the strategies based on forward-backward error and measurement validity are utilized properly. However, because the approach to forward-backward error makes the feature points reduce, which leads to tracking failure especially when the shapes of object change, a method for appending the feature points is introduced. Experimental results indicate that the method presented in this paper is state of the art robustness in our comparison with related work and demonstrate improved generalization over the conventional methods.

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