scholarly journals 2A2-M02 Adaptive Control of a Skid-Steering Vehicle with Feet for Moving on All Terrain(Mobile Robot with Special Mechanism)

2011 ◽  
Vol 2011 (0) ◽  
pp. _2A2-M02_1-_2A2-M02_4
Author(s):  
Tokuji OKADA ◽  
Satoru TEZUKA ◽  
Yusuke Sasaki
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.


2011 ◽  
Vol 2011 (0) ◽  
pp. _2A2-L14_1-_2A2-L14_4
Author(s):  
Ken AKIYAMA ◽  
Hiroaki KINOSHITA ◽  
Keiji NAGATANI ◽  
Kazuya YOSHIDA ◽  
Kenjiro TADAKUMA ◽  
...  

Robotica ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 449-467 ◽  
Author(s):  
Zhengcai Cao ◽  
Longjie Yin ◽  
Yili Fu ◽  
Jian S Dai

SUMMARYThis paper investigates the vision-based pose stabilization of an electrically driven nonholonomic mobile robot with parametric uncertainties in robot kinematics, robot dynamics, and actuator dynamics. A robust adaptive visual stabilizing controller is proposed with the utilization of adaptive control, backstepping, and dynamic surface control techniques. For the controller design, the idea of backstepping is used and the adaptive control approach is adopted to deal with all uncertainties. We also apply the dynamic surface control method to avoid the repeated differentiations of virtual controllers existing in the backstepping design procedure such that the control development is easier to be implemented. Moreover, to attenuate the effect of disturbances on control performance, smooth robust compensators are exploited. It is proved that all signals in the closed-loop system can be guaranteed to be uniformly ultimately bounded. Finally, simulation results are presented to illustrate the performance of the proposed controller.


Sign in / Sign up

Export Citation Format

Share Document