Practical stabilization of 4WD skid-steering mobile robot

Author(s):  
D. Pazderski ◽  
K. Kozlowski ◽  
M. Lawniczak
2016 ◽  
Vol 9 (2) ◽  
pp. 70 ◽  
Author(s):  
Osama Elshazly ◽  
Hossam Abbas ◽  
Zakarya Zyada

In this paper, development of a reduced order, augmented dynamics-drive model that combines both the dynamics and drive subsystems of the skid steering mobile robot (SSMR) is presented. A Linear Quadratic Regulator (LQR) control algorithm with feed-forward compensation of the disturbances part included in the reduced order augmented dynamics-drive model is designed. The proposed controller has many advantages such as its simplicity in terms of design and implementation in comparison with complex nonlinear control schemes that are usually designed for this system. Moreover, the good performance is also provided by the controller for the SSMR comparable with a nonlinear controller based on the inverse dynamics which depends on the availability of an accurate model describing the system. Simulation results illustrate the effectiveness and enhancement provided by the proposed controller.


2018 ◽  
Vol 95 (2) ◽  
pp. 253-266 ◽  
Author(s):  
Fady Ibrahim ◽  
A. A. Abouelsoud ◽  
Ahmed M. R. Fath El Bab ◽  
Tetsuya Ogata

Robotica ◽  
2011 ◽  
Vol 30 (1) ◽  
pp. 123-132 ◽  
Author(s):  
Tokuji Okada ◽  
Abeer Mahmoud ◽  
Wagner Tanaka Botelho ◽  
Toshimi Shimizu

SUMMARYThis paper analyses a mobile robot with independently rotating wheels travelling on uneven but smooth ground, including ascending or descending surfaces. We formulate a mathematical expression for the energy cost of the robot's movement. For our analysis, we utilise the principle of virtual work and assume that the robot moves with a fixed arrangement of wheel axes and without using a steering handle. The mathematical model reveals that the coefficient of friction and the payload distribution dominate the wheel behaviour, including slipping and skidding. We minimise the virtual work expression to determine the robot's motion complying with driven wheels. The model also enables us to estimate trajectories for different ground conditions. A hybrid robot, PEOPLER-II, is used to demonstrate the predicted motions, including turns and spins, by following angular velocity control rules. Experimental data verifies that the proposed formulation and minimisation of virtual work are valid techniques for predicting a robot's trajectory. The method described is widely applicable to wheeled robots having independently driven wheels.


Author(s):  
Osama Elshazly ◽  
Abdelfattah Mohamed ◽  
Zakarya Zyada
Keyword(s):  

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