2016 American Control Conference (ACC) 2016
DOI: 10.1109/acc.2016.7525526
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Active Disturbance Rejection Control based on Generalized Proportional Integral Observer to control a bipedal robot with five degrees of freedom

Abstract: An Active Disturbance Rejection Control based on Generalized Proportional Integral observer (ADRC with GPI observer) was developed to control the gait of a bipedal robot with five degrees of freedom. The bipedal robot used is a passive point feet which produces an underactuated dynamic walking. A virtual holonomic constraint is imposed to generate online smooth trajectories which were used as references of the control system. The proposed control strategy is tested through numerical simulation on a task of for… Show more

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Cited by 24 publications
(18 citation statements)
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“…With this approach, the nonlinearities of the system are represented in a simplified model, affine in the control input, with a chain of integrators and the total disturbance. This approach has shown to handle differences between the dynamics of physical mechatronic systems and their mathematical models, driving the tracking errors to small, acceptable values [33,34].…”
Section: Active Disturbance Rejection Controlmentioning
confidence: 99%
“…With this approach, the nonlinearities of the system are represented in a simplified model, affine in the control input, with a chain of integrators and the total disturbance. This approach has shown to handle differences between the dynamics of physical mechatronic systems and their mathematical models, driving the tracking errors to small, acceptable values [33,34].…”
Section: Active Disturbance Rejection Controlmentioning
confidence: 99%
“…There are several observer strategies that are used this approach: the extended state observer (ESO) [6,7], active disturbance rejection control (ADRC) [8], generalized extended state observer (GESO), also known as generalized proportional integral (GPI) observer [9,10], unknown input observers (UIO) [11], and high-gain observer (HGO) [12].…”
Section: Introductionmentioning
confidence: 99%
“…This proposed strategy extends the traditional (non model-based) ADRC approach that uses a simplified model to estimate and reject a unified disturbance signal [20]. This traditional control method has been evaluated in variety of applications such as bipedal robots [21], gait exoskeletons [22], among other mechatronic systems [23,24,25]. Although, the traditional ADRC approach has shown a robust, closed-loop behavior, it has also shown limitations in its closed-loop performance caused by the limited use of the available model information [26,27,28].…”
Section: Introductionmentioning
confidence: 99%