Comparison of position control algorithms of embedded shape memory alloy actuators

Ahola, Juha; Makkonen, Teemu; Nevala, Kalervo; Isto, Pekka

doi:10.1109/icmech.2009.4957137

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…The PID controller with anti-windup compensator was implemented using an incremental algorithm (Ahola et al, 2009; Ang et al, 2005; Zhang et al, 2003) (Figure 13). The discrete time implementation in the control system for a morphing wing is shown in Figure 8.…”

Section: Feedback Control Systemsmentioning

confidence: 99%

Wing morphing control with shape memory alloy actuators

Bil

Massey

Abdullah

2013

Journal of Intelligent Material Systems and Structures

147

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Aircraft morphing is referred to as the ability for an aircraft to change its geometry in flight. Formally, flaps, spoilers, and control devices are considered morphing, but in general, morphing in aerospace is associated with geometrical changes using smart materials such as shape memory alloys. Shape memory alloy is a material that changes shape under heating and produces force and deflections, which make it potential actuator for a wing morphing system. The motivation behind this study is the application to small-sized and medium-sized unmanned air vehicles and the potential to increase range or endurance for a given fuel load through improved lift-to-drag ratio. The camber line of an airfoil section, the predominant parameter affecting lift and drag, is changed by resistive heating of a shape memory alloy actuator and cooling in the surrounding air. Experiments were conducted under wind tunnel conditions to verify analysis and to investigate the effects of its application on the aerodynamic behavior of the wing. This study investigated three control methodologies: the conventional proportional-integral-derivative controller, proportional-integral-derivative with robust compensator, and proportional-integral-derivative with anti-windup compensator. The latter proved to have superior performance in achieving and maintaining a required level of morphing. In addition, the power required to the shape memory alloy actuators under aerodynamic load, and the effect of ambient temperature was also investigated.

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Section: Feedback Control Systemsmentioning

confidence: 99%

Wing morphing control with shape memory alloy actuators

Bil

Massey

Abdullah

2013

Journal of Intelligent Material Systems and Structures

147

View full text Add to dashboard Cite

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“…The position and tracking control of SMA wire actuators with proportional-integral (PI), proportional-derivative (PD), proportional-integral-derivative (PID), sliding mode and sliding mode with PID have been applied experimentally and evaluated for their performance in [9][10][11][12][13][14][15]20]. A modulated controller attracts attention to reduce the energy consumption while maintaining the same control accuracy as demonstrated in [16,17].…”

Section: Introductionmentioning

confidence: 99%

Experimental evaluation of a shape memory alloy wire actuator with a modulated adaptive controller for position control

Senthilkumar

Dayananda

Umapathy

et al. 2011

Smart Mater. Struct.

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This paper presents an experimental investigation of position control of a shape memory alloy (SMA) wire actuator with adaptive and modulated adaptive controllers. The transfer function model of the SMA wire actuator is determined from the experimental open loop response. Adaptive controllers, namely LMS–GSPI, RLS–GSPI and Kalman–GSPI, and modulated adaptive controllers using pulse width modulation (PWM) are designed. The performances of these controllers are experimentally investigated for the position control of an SMA wire actuator with and without thermal disturbance. Experimental results demonstrate that the modulated adaptive controllers outperform adaptive controllers.

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“…In recent years, different works have been dedicated to achieve micrometric control using SMA devices (Ikuta et al, 1988;Burns and Spies, 1991;Hasegawa and Majima, 1998;Madill and Wang, 1998;Majima et al, 2001;Lee and Mavroidis, 2002;Kyoung and Nguyen, 2007;Ahola et al, 2009). For instance, Song proposes a sliding mode-based robust control using position feedback on a SMA wire actuator (Song, 2002).…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of SMA-based Actuators Using Neural Networks

Asua

Feutchwanger

Garcı́a-Arribas

et al. 2010

Journal of Intelligent Material Systems and Structures

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The ability of shape memory alloys (SMA) to respond to an external stimulus by modifying their dimensions can be used to generate motion or force in electromechanical devices and micro-machines. It has been often demonstrated that SMA-based devices are serious alternatives to conventional micrometric actuators. We have previously demonstrated that, using a high-quality position sensor, such as a linear variable differential transformer (LVDT), to provide the position feedback, accuracies about 3 μm in position control can be obtained. In this work, we present an actuator prototype based in a SMA wire, conceived to be used in lightweight applications, where the bulky position sensor previously used is replaced with a lighter alternative. The most convenient one, and also the most challenging, is to use the wire’s own resistance as a measure of its position, that is, to implement a sensorless control strategy. We propose to use a neural network to characterize the relation between the resistance of the wire and its strain and introduce this correspondence as the position feedback in a simple PID closed loop. The experimental results show that, in this way, accuracies about 70 μm can be obtained. The great advantage of this procedure is that the actuator is reduced to a single SMA element without any additional sensor, which is of great importance when the main goals are to reduce the overall weight, size, and cost of the actuator.

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Comparison of position control algorithms of embedded shape memory alloy actuators

Cited by 5 publications

References 13 publications

Wing morphing control with shape memory alloy actuators

Wing morphing control with shape memory alloy actuators

Experimental evaluation of a shape memory alloy wire actuator with a modulated adaptive controller for position control

Sensorless Control of SMA-based Actuators Using Neural Networks

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