Predictive Controller and Estimator for NASA Deep Space Network Antennas

1994 ◽  
Vol 116 (2) ◽  
pp. 241-248 ◽  
Author(s):  
W. Gawronski
Keyword(s):  
Predictive Control ◽  
Tracking Control ◽  
Controller Design ◽  
Control Law ◽  
Deep Space ◽  
Linear Quadratic ◽  
Deep Space Network ◽  
Space Network ◽  
Predictive Controller ◽  
Simulation Results

This paper presents a modified output prediction procedure, and a new controller design based on the predictive control law. Also, a predictive estimator is developed for implementing the controller. The predictive controller was designed and simulated for tracking control of the NASA Deep Space Network 70-m antenna. Simulation results show significant improvement in tracking performance compared to the linear quadratic controller and estimator presently in use.

Model Predictive Control of a Differential-Drive Mobile Robot

2018 ◽  
Vol 10 (1) ◽  
pp. 20-41
Author(s):  
Samir Bouzoualegh ◽  
El-Hadi Guechi ◽  
Ridha Kelaiaia
Keyword(s):  
Mathematical Model ◽  
Model Predictive Control ◽  
Mobile Robot ◽  
Predictive Control ◽  
Control Law ◽  
Input Output ◽  
Linearization Technique ◽  
Differential Drive ◽  
Predictive Controller ◽  
Simulation Results

Abstract This paper presents a model predictive control (MPC) for a differential-drive mobile robot (DDMR) based on the dynamic model. The robot’s mathematical model is nonlinear, which is why an input–output linearization technique is used, and, based on the obtained linear model, an MPC was developed. The predictive control law gains were acquired by minimizing a quadratic criterion. In addition, to enable better tuning of the obtained predictive controller gains, torques and settling time graphs were used. To show the efficiency of the proposed approach, some simulation results are provided.

scholarly journals Scheduling the NASA Deep Space Network with Deep Reinforcement Learning

2021 ◽  
Author(s):  
Edwin Goh ◽  
Hamsa Shwetha Venkataram ◽  
Mark Hoffmann ◽  
Mark D. Johnston ◽  
Brian Wilson
Keyword(s):  
Reinforcement Learning ◽  
Deep Space ◽  
Deep Space Network ◽  
Space Network

scholarly journals Deep Space Network Scheduling via Mixed-Integer Linear Programming

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 39985-39994
Author(s):  
Alex Sabol ◽  
Ryan Alimo ◽  
Farhad Kamangar ◽  
Ramtin Madani
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Deep Space ◽  
Network Scheduling ◽  
Deep Space Network ◽  
Space Network

Two Stage Gain Magnification in Beam Wave Guide Feed of Indian Deep Space Network (IDSN-32) Station

2012 ◽  
Vol 60 (7) ◽  
pp. 3481-3484
Author(s):  
V. V. Srinivasan ◽  
C. Kumar ◽  
D. Bhatnagar ◽  
V. K. Lakshmeesha ◽  
S. Pal
Keyword(s):  
Wave Guide ◽  
Deep Space ◽  
Two Stage ◽  
Deep Space Network ◽  
Beam Wave ◽  
Space Network
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