2008 IEEE/RSJ International Conference on Intelligent Robots and Systems 2008
DOI: 10.1109/iros.2008.4650994
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Stable limit cycle generation for underactuated mechanical systems, application: Inertia wheel inverted pendulum

Abstract: This paper deals with a control approach dedicated to stable limit cycle generation for underactuated mechanical systems. The proposed approach is based on partial nonlinear feedback linearization and dynamic control for optimal periodic reference trajectories tracking. Simulation results and experiments show the efficiency of the proposed approach.

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Cited by 10 publications
(10 citation statements)
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“…Gruber and Hofbaur [51] employed the same method for planning periodic motions and designing a stabilizing controller based on a thorough analysis of the dynamics transversal to the resulting limit cycle. In addition, Andary et al [52] proposed a control approach dedicated to stable limit cycle generation for the IWIP. The proposed approach was based on partial nonlinear feedback linearization and dynamic control for optimal periodic reference trajectories tracking.…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…Gruber and Hofbaur [51] employed the same method for planning periodic motions and designing a stabilizing controller based on a thorough analysis of the dynamics transversal to the resulting limit cycle. In addition, Andary et al [52] proposed a control approach dedicated to stable limit cycle generation for the IWIP. The proposed approach was based on partial nonlinear feedback linearization and dynamic control for optimal periodic reference trajectories tracking.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The proposed approach was based on partial nonlinear feedback linearization and dynamic control for optimal periodic reference trajectories tracking. The feedback controller presented in [52] is enhanced in [53,54] to handle constant disturbances in limit cycle tracking by using online iterative estimation of an equivalent disturbance which is easily compensated by adding the estimated value to the output of the system. Moreover, Zayane-Aissa et al [55] introduced a high order sliding mode structure to solve the problem of trajectory tracking problem of the IWIP in presence of unknown input perturbation.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…The coaxial two-wheeled robot is inherent unstable and underactuated system (Andary, Chemori et al 2008), all of the positions such as keep balance and running are realized by the torque of the two driving wheels, shown in Fig.6. Theoretically, when the two driving wheels are fed by the same torque, the robot will only move in one direction (with a small forward and backward movement before the settlement is achieved) (Ahmad, Tokbi et al 2009).…”
Section: Controller Designmentioning
confidence: 99%
“…An Underactuated Mechanical System (UMS) is this which possesses fewer control inputs than degrees of freedom [15,16]. UMSs have been arosen in many different real-life applications, such as: helicopters, aircrafts, spacecrafts, vertical take-off and landing aircrafts, under water vehicles, mobile robots, walking robots and so on.…”
Section: Introductionmentioning
confidence: 99%