scholarly journals Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator

Author(s):  
Zach J. Patterson ◽  
Andrew P. Sabelhaus ◽  
Carmel Majidi
2002 ◽  
Vol 124 (4) ◽  
pp. 566-575 ◽  
Author(s):  
Mohammad H. Elahinia ◽  
Hashem Ashrafiuon

This paper presents a nonlinear, robust control algorithm for accurate positioning of a single degree of freedom rotary manipulator actuated by Shape Memory Alloy (SMA). A model for an SMA actuated manipulator is presented. The model includes nonlinear dynamics of the manipulator, a constitutive model of Shape Memory Alloy, and electrical and heat transfer behavior of SMA wire. This model is used for open and closed loop motion simulations of the manipulator. Experiments are presented that show results similar to both closed and open loop simulation results. Due to modeling uncertainty and nonlinear behavior of the system, classic control methods such as Proportional-Integral-Derivative control are not able to present fast and accurate performance. Hence a nonlinear, robust control algorithm is presented based on Variable Structure Control. This algorithm is a control gain switching technique based on the weighted average of position and velocity feedbacks. This method has been designed through simulation and tested experimentally. Results show fast, accurate, and robust performance of the control system. Computer simulation and experimental results for different stabilization and tracking situations are also presented.


1994 ◽  
Vol 5 (5) ◽  
pp. 702-712 ◽  
Author(s):  
Robert Lashlee ◽  
Robert Butler ◽  
Vittal Rao ◽  
Frank Kern

Author(s):  
Tinglan Ye ◽  
Yangwei Wang ◽  
Shengxin Xu ◽  
Yurong Wang ◽  
Jian Li

Soft robots are concerned by researchers due to several characteristics, such as high adaptability in complex unstructured environments, safe interaction with environments, and a high degree of dexterity. The deformability and dexterity of the octopus arm are remarkable and interesting for the development of bioinspiration soft robots. In this study, we proposed a biomimetic flexible manipulator actuated by shape memory alloy (SMA) wires and its PI controller, and evaluated its performances with focused experiments. This study aims to find out the advantages of the developed manipulator actuated by SMA wires. We designed the bionic structure to achieve flexible bending in 3D space based on the analysis of the octopus muscle structure. Then we built the mathematical models that described the relationship between the bending angle and the driving parameters. Surprisingly, the soft movement capacity of the bionic manipulator was investigated at different heating voltages and PWM duty cycles by the PI controller based on the self-sensing resistance feedback. The soft manipulator was able to bend flexibly with the maximum bending angle of 60°. Compared to the traditional soft arm, the soft manipulator has higher accuracy, with the error of the deflection angle less than 5° and the errors of bending angles less than 2°.


Author(s):  
Eric A. Williams ◽  
Mohammad Elahinia ◽  
Thomas M. Seigler

Shape memory alloy actuators are inherently nonlinear and require a robust control scheme to guarantee rapid tracking and sufficient position control performance. In this paper, a control scheme is developed for an automotive shape memory alloy actuator that is used to orient an external rear view mirror to match desired set-points. The formulation of appropriate models and control laws are presented. Experiments of the controller in a real-time environment are performed and results are presented.


Author(s):  
John H. Crews ◽  
Ralph C. Smith ◽  
Jennifer C. Hannen

In this paper, we present a systematic approach to developing robust control algorithms for a single-tendon shape memory alloy (SMA) bending actuator. Parameter estimation and uncertainty quantification are accomplished using Bayesian techniques. Specifically, we utilize Markov Chain Monte Carlo (MCMC) methods to estimate parameter uncertainty. The Bayesian parameter estimation results are used to construct a sliding mode control (SMC) algorithm where the bounds on uncertainty are used to guarantee controller robustness. The sliding mode controller utilizes the homogenized energy model (HEM) for SMA. The inverse HEM compensates for hysteresis and converts a reference bending angle to a reference temperature. Temperature in the SMA actuator is estimated using an observer, and the sliding mode controller ensures that the observer temperature tracks the reference temperature. The SMC is augmented with proportional-integral (PI) control on the bending angle error.


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