scholarly journals Optimal Location and Control of Multi Hybrid Model Based Wind-Shunt FACTS to Enhance Power Quality

10.5772/20780 ◽  
2011 ◽  
Author(s):  
Belkacem Mahdad
Keyword(s):  
Power Quality ◽  
Hybrid Model ◽  
Optimal Location ◽  
Model Based ◽  
And Control

Model-based programming tools for integrated monitoring, simulation, diagnosis and control

1993 ◽  
Author(s):  
Gabor Karsai ◽  
Samir Padalkar ◽  
Hubertus Franke ◽  
Janos Sztipanovits
Keyword(s):  
Integrated Monitoring ◽  
Model Based ◽  
Programming Tools ◽  
And Control

Model-based Management and Control of the Bioreactions in a Collection System

2018 ◽  
Vol 2018 (13) ◽  
pp. 2700-2708 ◽  
Author(s):  
Lisha Guo ◽  
John Walton ◽  
Sovanna Tik ◽  
Zachary Scott ◽  
Keshab Raj Sharma ◽  
...  
Keyword(s):  
Collection System ◽  
Model Based ◽  
And Control

scholarly journals Model-Based Slippage Estimation to Enhance Planetary Rover Localization with Wheel Odometry

2021 ◽  
Vol 11 (12) ◽  
pp. 5490
Author(s):  
Anna Maria Gargiulo ◽  
Ivan di Stefano ◽  
Antonio Genova
Keyword(s):  
Inertial Measurement Unit ◽  
Correction Method ◽  
Harsh Environments ◽  
Measurement Unit ◽  
Planetary Rovers ◽  
Model Based ◽  
Accurate Knowledge ◽  
And Control ◽  
Wheeled Vehicles ◽  
Rover Localization

The exploration of planetary surfaces with unmanned wheeled vehicles will require sophisticated software for guidance, navigation and control. Future missions will be designed to study harsh environments that are characterized by rough terrains and extreme conditions. An accurate knowledge of the trajectory of planetary rovers is fundamental to accomplish the scientific goals of these missions. This paper presents a method to improve rover localization through the processing of wheel odometry (WO) and inertial measurement unit (IMU) data only. By accurately defining the dynamic model of both a rover’s wheels and the terrain, we provide a model-based estimate of the wheel slippage to correct the WO measurements. Numerical simulations are carried out to better understand the evolution of the rover’s trajectory across different terrain types and to determine the benefits of the proposed WO correction method.

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