Nonlinear observer for nonlinear adaptive guidance law considering target uncertainties and control loop dynamics

Author(s):  
DongKyoung Chwa ◽  
A.G. Sreenatha ◽  
Ki Hong Im ◽  
Jin Young Choi ◽  
Jin H. Seo
2006 ◽  
Vol 14 (1) ◽  
pp. 112-123 ◽  
Author(s):  
Dongkyoung Chwa ◽  
Jin Young Choi ◽  
S.G. Anavatti

Aerospace ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 384
Author(s):  
Zhao Deng ◽  
Fuqiang Bing ◽  
Zhiming Guo ◽  
Liaoni Wu

Due to the complexity of landing environments, precision guidance and high-precision control technology have become key to the rope-hook recovery of shipborne unmanned aerial vehicles (UAVs). The recovery process was divided into three stages and a reasonable guidance strategy had been designed for them, respectively. This study separated the guidance and control issues into an outer guidance loop and an inner control loop. The inner loop (attitude control loop) controled the UAV to follow the acceleration commands generated by the outer loop (trajectory tracking loop). The inner loop of the longitudinal controller and the lateral controller were designed based on active disturbance rejection control (ADRC), which has strong anti-interference ability. In the last phase, the outer loop of the longitudinal controller switched from a total energy control system (TECS), which greatly decoupled the altitude channel and speed channel, to the proportional navigation (PN) guidance law, while the outer loop of lateral controller switches from the proportional control law based on the L1 guidance law, which can reduce the tracking error and deviation, to the PN guidance law, which considerably enhances the tracking precision. Finally, the simulation data and flight test data show that the controller has strong robustness and good tracking precision, which ensures safe rope-hook recovery.


2013 ◽  
Vol 373-375 ◽  
pp. 1428-1431 ◽  
Author(s):  
Jian Cao ◽  
Cong Yan ◽  
Li Liu

Integrated design about guidance and control of homing unmanned aerial vehicle (UAV) is proposed. Firstly, an integrated guidance and control model with uncertainties can be described. Secondly, a nonlinear observer is designed for the integrated guidance and control model. Finally, the simulation results show that the nonlinear adaptive guidance law using the proposed integrated design model can perform better than the one designed separately.


2003 ◽  
Vol 39 (4) ◽  
pp. 1134-1143 ◽  
Author(s):  
Dongkyoung Chwa ◽  
Jin Young Choi

2013 ◽  
Vol 415 ◽  
pp. 294-297
Author(s):  
Jian Cao ◽  
Cong Yan ◽  
Jian He Li

Integrated design about guidance and control in inversible system of neural network is proposed. Firstly, an integrated guidance and control model with uncertainties can be described. Secondly, a nonlinear observer is designed for the integrated guidance and control model. Subsequently, selection of training sample is focused on. Finally, the simulation results show that the nonlinear adaptive guidance law using the proposed integrated design model can perform better than the one designed separately.


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