Does a Finite-Time Double Support Period Increase Walking Stability for Planar Bipeds?

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Daniel S. Williams ◽  
Anne E. Martin

Abstract For many planar bipedal models, each step is divided into a finite time single support period and an instantaneous double support period. During single support, the biped is typically underactuated and thus has limited ability to reject disturbances. The instantaneous nature of the double support period prevents nonimpulsive control during this period. However, if the double support period is expanded to finite time, it becomes overactuated. While it has been hypothesized that this overactuation during a finite-time double support period may improve disturbance rejection capabilities, this has not yet been tested. This paper presents a refined biped model by developing a finite-time, adaptive double support controller capable of handling the overactuation and limiting slip. Using simulations, we quantify the disturbance rejection capabilities of this controller and directly compare them to a typical, instantaneous double support model for a range of gait speeds and perturbations. We find that the finite-time double support controller increased the walking stability of the biped in approximately half of the cases, indicating that a finite-time double support period does not automatically increase disturbance rejection capabilities. We also find that the timing and magnitude of the perturbation can affect if a finite-time double support period enhances stability. Finally, we demonstrate that the adaptive controller reduces slipping.

2020 ◽  
Vol 53 (2) ◽  
pp. 8456-8461
Author(s):  
Dmitrii Dobriborsci ◽  
Sergey Kolyubin ◽  
Natalia Gorokhova ◽  
Marina Korotina ◽  
Alexey Bobtsov

Robotica ◽  
2020 ◽  
pp. 1-26
Author(s):  
Tao Xue ◽  
ZiWei Wang ◽  
Tao Zhang ◽  
Ou Bai ◽  
Meng Zhang ◽  
...  

SUMMARY Accurate torque control is a critical issue in the compliant human–robot interaction scenario, which is, however, challenging due to the ever-changing human intentions, input delay, and various disturbances. Even worse, the performances of existing control strategies are limited on account of the compromise between precision and stability. To this end, this paper presents a novel high-performance torque control scheme without compromise. In this scheme, a new nonlinear disturbance observer incorporated with equivalent control concept is proposed, where the faster convergence and stronger anti-noise capability can be obtained simultaneously. Meanwhile, a continuous fractional power control law is designed with an iteration method to address the matched/unmatched disturbance rejection and global finite-time convergence. Moreover, the finite-time stability proof and prescribed control performance are guaranteed using constructed Lyapunov function with adding power integrator technique. Both the simulation and experiments demonstrate enhanced control accuracy, faster convergence rate, perfect disturbance rejection capability, and stronger robustness of the proposed control scheme. Furthermore, the evaluated assistance effects present improved gait patterns and reduced muscle efforts during walking and upstair activity.


2020 ◽  
pp. 002029402091992
Author(s):  
Zhicheng Yuan ◽  
Benchao Wu ◽  
Jiayi He ◽  
Xingchen Fu ◽  
Hua Chen

In this paper, the control of multiple ships for unknown scalar field source seeking problem with unknown external disturbances is considered. The sliding mode active disturbance rejection observers are designed first to converge to fixed multiple of the unknown external disturbances in finite time, respectively, and a least square method is adopted to estimate the gradient of the unknown scalar field at the position of the leading ship. Second, the surge, sway and angle velocity of the leading ship can converge to the virtual kinematic controllers through the input control of the dynamic controllers using force and torque in finite time. Third, the virtual controllers and dynamic controllers of the following ships are developed to urge the following ships to accomplish the source seeking problem from the perspective of dynamics. Finally, theoretical proofs and simulations are provided to prove the effectiveness of the strategy proposed.


2020 ◽  
Vol 357 (16) ◽  
pp. 11153-11170 ◽  
Author(s):  
Jun Zhou ◽  
Yingying Cheng ◽  
Haibo Du ◽  
Di Wu ◽  
Min Zhu ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Lixiang Li ◽  
Qingbiao Liu ◽  
Tao Li

This paper utilizes nonlinear adaptive feedback controller to make the complex multilinks networks with perturbations and time-varying delays achieve the finite-time synchronization. By designing nonlinear controllers, we use suitable Lyapunov functions and sufficient conditions to guarantee the finite-time synchronization between the drive system and the response system in terms of adaptive control. Several novel and useful finite-time synchronization criteria are accurately derived based on linear matrix inequality, Kronecker product, inequality analytical technique, and finite-time stability theory. Finally, numerical examples are given to demonstrate the validity and the effectiveness of our theoretical results.


2015 ◽  
Vol 60 (4) ◽  
pp. 1133-1138 ◽  
Author(s):  
Mauro Franceschelli ◽  
Alessandro Pisano ◽  
Alessandro Giua ◽  
Elio Usai

Author(s):  
Kurt D. Wulff ◽  
Daniel G. Cole ◽  
Robert L. Clark

Optical traps are an important tool in biophysics, which are capable of measuring forces on the the order of piconewtons and displacements on the order of nanometers. When being used as a probe, objects confined in optical traps are subjected to a broad-band thermal noise source known as Brownian motion. Closed loop control offers a method for reducing the magnitude of these disturbances, but controller design is a difficult and time consuming process. Even after a controller has been constructed, changes in the trapping power or changes between particles will change the plant dynamics and ultimately affect how well the controller performs. For these reasons, presented here is a method of designing an adaptive controller which automatically identifies the plant and actuator dynamics and designs a corresponding controller for disturbance rejection. The controller design is easily implemented on any digital control system.


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