scholarly journals Thermo mechanical and Control Behaviour of Copper based Shape Memory Alloy Bimorph Actuator towards the Development of Micro Positioning System

2020 ◽  
Vol 70 (6) ◽  
pp. 664-671
Author(s):  
M. Muralidharan ◽  
S. Jayachandran ◽  
M. Yogeshwaran ◽  
A. S. Shivaani ◽  
I. A. Palani
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Sensor Data ◽  
Displacement Sensor ◽  
Substrate Thickness ◽  
Positioning System ◽  
Labview Software ◽  
Evaporation Technique ◽  
And Control ◽  
Control Behaviour

A shape memory alloy (SMA) bimorph actuator is a composite structure composed of flexible polyimide substrate and SMA thin film deposited using thermal evaporation technique. In this work, the substrate thickness in the range of 25 - 75 mm was selected for the development of CuAlNiMn SMA bimorph actuator. An investigation on the control behavior of copper based SMA bimorph towards the development of micro positioning system has been performed. The actuation behavior of the SMA bimorph was studied using electrical actuation. Subsequently, a proportional integral derivative (PID) controller was designed to control the bimorph actuator with proper tuning of gain parameters. The displacement of the bimorph actuator was controlled through dedicated experimental setup consisted of laser displacement sensor, data acquisition system and LabVIEW software. The CuAlNiMn SMA bimorph actuator resulted in a satisfying control performance which can be extended to MEMS applications. A preliminary prototype of the SMA bimorph actuator based micro positioning system has been developed.

Modeling of Shape Memory Alloy Actuators Using Matlab and dSpace Platform

2010 ◽  
Vol 166-167 ◽  
pp. 149-154
Author(s):  
Ioan Adrian Cosma ◽  
Vistrian Măties ◽  
Ciprian Lapusan ◽  
Rares Ciprian Mîndru
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Dynamic Model ◽  
Dynamic Equations ◽  
Control Technique ◽  
Positioning System ◽  
Unknown Parameters ◽  
New Approach ◽  
Model Based Control ◽  
Input And Output

The aim of the paper is to describe an approach for modeling the dynamic behavior of a positioning system actuated by two shape memory alloy springs, placed in opposition. The mathematical analysis of the system in order to develop the dynamic model is difficult in this case because of the unknown parameters within the dynamic equations (thermodynamics, change in austenite fraction) and therefore a new approach is presented. Thus, a positioning system is considered, and its behavior is determined using Matlab Software, D-space platform and an optical sensor, which analyses the position/velocity of the moving cart. The dynamic model of the system is determined in order to develop a further model based control technique. The model is generated using system identification toolbox within Matlab and input and output (response) of the considered system.

Design and control of a novel compliant differential shape memory alloy actuator

2015 ◽  
Vol 225 ◽  
pp. 71-80 ◽  
Author(s):  
Zhao Guo ◽  
Yongping Pan ◽  
Liang Boon Wee ◽  
Haoyong Yu
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shape Memory Alloy Actuator ◽  
And Control

Segmented Binary Control of Shape Memory Alloy Actuators — Feedforward Servo Control

2004 ◽  
Author(s):  
Brian Selden ◽  
Kyu-Jin Cho ◽  
H. Harry Asada
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Transient Response ◽  
Feedback Loops ◽  
Servo Control ◽  
Dramatic Improvement ◽  
New Approach ◽  
Local Feedback ◽  
Binary Control ◽  
And Control

A new approach to the design and control of shape memory alloy (SMA) actuators, called Segmented Binary Control (SBC), is extended from previous work. The transient response of SBC is examined and is discovered to be inadequate in real time servo control because of significant latency times. A dramatic improvement is shown using a feedforward method in which a predetermined path is known and appropriate actions are calculated beforehand. In addition, this feedforward servo control of SMA is accomplished with only internal local feedback loops and no global feedback of position.

Analysis and control of large thermal deflection of composite plates using shape memory alloy

2000 ◽  
Author(s):  
Bin Duan ◽  
Mohammad Tawfik ◽  
Sylvain N. Goek ◽  
Jeng-Jong Ro ◽  
Chuh Mei
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Composite Plates ◽  
And Control ◽  
Thermal Deflection

Experiment Verification and Stability Analysis of Iterative Learning Control for Shape Memory Alloy Wire

2019 ◽  
Vol 31 (4) ◽  
pp. 583-593
Author(s):  
Hitoshi Kino ◽  
Naofumi Mori ◽  
Shota Moribe ◽  
Kazuyuki Tsuda ◽  
Kenji Tahara ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Iterative Learning Control ◽  
Robot Manipulator ◽  
Learning Control ◽  
Iterative Learning ◽  
Control Methods ◽  
Experiment Verification ◽  
And Control

To achieve the control of a small-sized robot manipulator, we focus on an actuator using a shape memory alloy (SMA). By providing an adjusted voltage, an SMA wire can itself generate heat, contract, and control its length. However, a strong hysteresis is generally known to be present in a given heat and deformation volume. Most of the control methods developed thus far have applied detailed modeling and model-based control. However, there are many cases in which it is difficult to determine the parameter settings required for modeling. By contrast, iterative learning control is a method that does not require detailed information on the dynamics and realizes the desired motion through iterative trials. Despite pioneering studies on the iterative learning control of SMA, convergence has yet to be proven in detail. This paper therefore describes a stability analysis of an iterative learning control to mathematically prove convergence at the desired length. This paper also details an experimental verification of the effect of convergence depending on the variation in gain.

Design and Control of a Shape Memory Alloy Wire Bundle Actuator

2000 ◽  
Author(s):  
Michael J. Mosley ◽  
Constantinos Mavroidis
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Artificial Muscle ◽  
Linear Displacement ◽  
Nickel Titanium ◽  
Input Shaping ◽  
Joint Rotation ◽  
Revolute Joint ◽  
And Control ◽  
Robotic Applications

Abstract In this paper, the design and control of a novel shape memory alloy (SMA) actuator that possesses impressive payload lifting capabilities are presented. The actuator consists of 48 nickel-titanium SMA wires mechanically bundled in parallel forming one powerful artificial muscle. This new linear actuator can apply up to 100 lbf (445 N), which is approximately 300 times its weight, over a maximum distance of 0.5 in. (1.27 cm). The actuator was tested in two different loading configurations — linear displacement and operation of a revolute joint. A PID based controller with the addition of an input shaping function was developed for each loading configuration with excellent results, maintaining steady state error within ± 0.004 in. (0.1 mm) for linear motion and ± 1° for revolute joint rotation. This powerful, compact, and lightweight actuator shows promise for use in space, medical, and other macro-robotic applications.

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