This article presents the experimental validation of a Direct Adaptive Control for angular position regulation of a lightweight robotic arm. The robotic arm is single degree-of-freedom (DOF) system, actuated by two Shape Memory Alloy (SMA) wires. The proposed adaptive control is capable of adapting itself to the hysteretic behavior of SMA wires and update its behavior to deal with the changing parameters of the material over time. The closed-loop approach is tested experimentally showing its effectiveness to deal with the highly nonlinear dynamics of the SMA wires. These results are discussed and compared with a classical control approach. The updated design and hardware development and modeling of the robotic arm are shown. INTRODUCTION In recent years, Shape Memory Technology (SMT) has become a trend in the research for alternative actuation systems. The term SMT is used to describe the implementation of materials with Shape Memory Effect (SME). This effect is the property of materials to recover their original shape, after being deformed, upon external stimuli. These stimuli can be thermal, chemical, mechanical, among others. A common type of materials with SMA is the Shape Memory Alloys (SMA). These materials include a group of alloys (most commonly Nickel∗Address all correspondence to this author. Titanium [1]) which can be easily deformed at lower temperatures and then recover their original shape when subject to proper mechanical or thermal stimuli. This transformation occurs due to an inner shifting in the material’s crystalline structure. At lower temperatures, the material transforms into martensite, a highly malleable phase. When the SMA is subjected to the proper external stimuli, it transforms into austenite phase, a rigid cubic structure, allowing the material to recover its original shape [2]. The increased interest in the implementation and research of these materials is due to their multiple advantages over conventional actuators, advantages such as high force to mass ratio, corrosion resistance, biocompatibility, noiseless operation, among others. These advantages make SMA suitable for a wide range of applications, ranging from biomedical and dental implants to aerospace engineering. Some SMA applications that we can find in the literature are for example, in medical areas as intra-arterial supports [3], adaptive anklefoot orthoses [4], skeletal fixation devices [5] or orthodontic applications [6]. We can also find implementations in aerodynamics as an actuator for morphing segments on UAV [7] or wing shape control [8]. Many other specific purpose applications have been reported in the literature such as camera lens focus actuators [9], car mirror actuators [10] or SMA based motors [11]. Other examples of this are the multiple robotics implementations. For instance, the robotic arm developed by the author in [12] or the anthropomorphic robotic fingers proposed by [13] and [14]. Along with 1 Copyright c © 2018 by ASME these specific purpose applications some more general, advanced control oriented application have been developed as the ones presented in [15–18]. In spite of their multiple advantages, SMAs also entail different kind of challenges for mechanism design and the control of them. Most of the aforementioned applications, imply a complicated mechanical design or are oriented to micro-scale actuation. To solve this problem, a lightweight design for an SMA actuated robotic arm was proposed in [19]. This proposal, using 3D printing technology and lightweight materials, together with a relatively simple mechanical design, achieves a lightweight robotic arm suitable for implementation in mobile environments where the weight and size is a primary concern, as flying manipulation. An improved mechanical design of this proposal is introduced in the current work. In addition to the mechanical challenges, the nonlinear dynamics of the SMAs make them difficult to control and model. Among these nonlinear dynamics, we found principally a highly hysteretic behavior, phenomena as dead zone or superelasticity. For this reason, multiple control approaches have been developed an reported in the literature. From simple classical control techniques as PID or Variable Structure Control (VSC) [20], to intelligent control as fuzzy control approach [13] or neural networks [12]. A set of techniques proven to be suitable to face the highly nonlinear behavior of these materials are those of the adaptive control. Different adaptive techniques have been implemented for SMA control. These techniques can be broadly classify in Direct and Indirect adaptive control [15–17, 21, 22] and intelligent adaptive control. This latter class includes techniques combining adaptive and intelligent control, like the ones reported in [23–25]. These intelligent adaptive controls depend on the identification of multiple parameters, and their quality relies on the number of neurons and persistent excitation conditions. Contrary to these methods, we propose a Direct adaptive control method where only one parameter needs to be tuned in real-time for each SMA wire. SMA WIRE ACTUATED ROBOT ARM DESIGN This section presents the mechanical design of the proposed SMA wire actuated robotic arm. Figure 1 shows a Computer Aided Design (CAD) model of the lightweight robotic arm. The mechanism presented here is based on a previous work published in [26,27]. The proposed design is a lightweight robotic arm with one Degree of Freedom (DOF), actuated by 3 SMA wires. The custom design of the pieces, together with 3D printing technology and light fabrication materials, permit the construction of a mechanism with an approximated weight of 50 g and a range of angular displacement up to 90 degrees. The robotic arm presented in [26, 27] is originally based on the joint proposed by the authors in [20]. This design proposes two couplers (coupler-1 and coupler-2), each one actuated by an individual SMA wire (SMA-1 and SMA-2 respectively), and joined with a torsion spring in between the couplers. This configuration allows for faster response of the overall system by controlling the total stiffness of the joint, thus increasing or decreasing the transformation temperatures, which leads to a faster forward or backward transformation of the SMA-1. The stiffness adjustment is carried out by the SMA-2 while the angular position of the joint, and the end-effector’s position, depends directly on the SMA-1. The current work proposes a new mechanical design for the robotic arm’s prototype. A couple of groove bearings are implemented, substituting the previously proposed winding wheels (see [27]). This change allows lower overall friction, thus higher angular displacements while handling the SMA wires relative high temperatures adequately. Furthermore, an entirely new mechanical design for the gripper and its actuation system is presented. This end-effector is actuated by a biased SMA wire. The bias force is provided by a 3D-printed custommade spring. The SMA wire is wound over the spring itself. The later one converts the transversal movement of the wire into longitudinal movement along the shaft of the end-effector, which induces the open-close motion of the gripper. The low weight of the overall actuator, along with its wide range rotational displacement capability, makes this actuator a suitable alternative for applications in aerial manipulation with small unmanned aerial vehicles (UAVs). Although all the experimental test presented in this work were performed with a wired communication, the proposed system is equipped for wireless communication using Robot Operating System (ROS). ROS implementation allows for future mobile environment tests, as a flying manipulator on UAVs for example.
[1]
Holger Voos,et al.
Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: A comparative study
,
2017
.
[2]
Haoyong Yu,et al.
Design and control of a novel compliant differential shape memory alloy actuator
,
2015
.
[3]
Constantin Florin Caruntu,et al.
Spiking neural network for controlling the artificial muscles of a humanoid robotic arm
,
2014,
2014 18th International Conference on System Theory, Control and Computing (ICSTCC).
[4]
Min Young Kim,et al.
Tunable-focus liquid lens system controlled by antagonistic winding-type SMA actuator.
,
2009,
Optics express.
[5]
Holger Voos,et al.
Adaptive Control of Hysteretic Robotic arm in Operational Space
,
2016,
ICMCE '16.
[6]
Haoyong Yu,et al.
Output-Feedback Adaptive Neural Control of a Compliant Differential SMA Actuator
,
2017,
IEEE Transactions on Control Systems Technology.
[7]
Antonio Concilio,et al.
Wing Shape Control through an SMA-Based Device
,
2009
.
[8]
E. Patoor,et al.
Laguerre model based adaptive control of antagonistic shape memory alloy (SMA) actuator
,
2010,
Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[9]
Sung-Hoon Ahn,et al.
Effect of twist morphing wing segment on aerodynamic performance of UAV
,
2016
.
[10]
Mohammad Elahinia,et al.
Adaptive ankle–foot orthoses based on superelasticity of shape memory alloys
,
2015
.
[11]
Hashem Ashrafiuon,et al.
Nonlinear Control of a Shape Memory Alloy Actuated Manipulator
,
2002
.
[12]
Darren M. Dawson,et al.
Lyapunov-Based Control of Mechanical Systems
,
2000
.
[13]
Nguyen Trong Tai,et al.
Output Feedback Direct Adaptive Controller for a SMA Actuator With a Kalman Filter
,
2012,
IEEE Transactions on Control Systems Technology.
[14]
Nickel-titanium (NiTi) arch wires: the clinical significance of super elasticity
,
2011,
BDJ.
[15]
Martin B.G. Jun,et al.
Fuzzy PWM-PID control of cocontracting antagonistic shape memory alloy muscle pairs in an artificial finger
,
2011
.
[16]
Holger Voos,et al.
Lightweight robotic arm actuated by shape memory alloy (SMA) wires
,
2016,
2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
[17]
Jean-Régis Hadji-Minaglou,et al.
Design of an electromechanical prosthetic finger using shape memory alloy wires
,
2017,
2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS).
[18]
Darwin G. Caldwell,et al.
Control design of shape memory alloy based multi-arm continuum robot inspired by octopus
,
2014,
2014 9th IEEE Conference on Industrial Electronics and Applications.
[19]
Miguel A. Olivares-Mendez,et al.
Operational Space Control of a Lightweight Robotic Arm Actuated by Shape Memory Alloy (SMA) Wires
,
2016
.
[20]
J. N. Reddy,et al.
Design of Shape Memory Alloy (SMA) Actuators
,
2015
.
[21]
Somasundar Kannan.
Modeling and control of Shape Memory Alloy Actuator. (Modélisation et commande de actionneurs à alliage à memoire de forme)
,
2011
.
[22]
E Patoor,et al.
Application of Laguerre based adaptive predictive control to Shape Memory Alloy (SMA) Actuator.
,
2013,
ISA transactions.
[23]
Miguel A. Olivares-Méndez,et al.
Adaptive Control of Robotic arm with Hysteretic Joint
,
2016,
ICCMA '16.
[24]
Christophe Giraud-Audine,et al.
Control of Shape Memory Alloy (SMA) Actuator Using Series-Parallel Model Reference Adaptive Control (MRAC)
,
2009
.
[25]
Mohammad Elahinia,et al.
Control of an automotive shape memory alloy mirror actuator
,
2010
.
[26]
Gangbing Song,et al.
Adaptive online inverse control of a shape memory alloy wire actuator using a dynamic neural network
,
2013
.
[27]
David Dean,et al.
Three Dimensional Printing of Stiffness-tuned, Nitinol Skeletal Fixation Hardware with an Example of Mandibular Segmental Defect Repair
,
2016
.
[28]
Craig A. Rogers,et al.
One-Dimensional Thermomechanical Constitutive Relations for Shape Memory Materials
,
1990
.
[29]
Sayed Khatiboleslam Sadrnezhaad,et al.
Effects of material properties on mechanical performance of Nitinol stent designed for femoral artery: Finite element analysis
,
2012
.