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Chehardoli, H., Shafie, E., Eghtesad, M. (2022). Fuzzy-PID Control of Mechanisms with Contrary Shape Memory Alloy Actuators. Electronic and Cyber Defense, 18(2), 97-108.
Hossein Chehardoli; Ehsan Shafie; Mohammad Eghtesad. "Fuzzy-PID Control of Mechanisms with Contrary Shape Memory Alloy Actuators". Electronic and Cyber Defense, 18, 2, 2022, 97-108.
Chehardoli, H., Shafie, E., Eghtesad, M. (2022). 'Fuzzy-PID Control of Mechanisms with Contrary Shape Memory Alloy Actuators', Electronic and Cyber Defense, 18(2), pp. 97-108.
Chehardoli, H., Shafie, E., Eghtesad, M. Fuzzy-PID Control of Mechanisms with Contrary Shape Memory Alloy Actuators. Electronic and Cyber Defense, 2022; 18(2): 97-108.

Fuzzy-PID Control of Mechanisms with Contrary Shape Memory Alloy Actuators

مکانیک هوافضا
Article 7, Volume 18, Issue 2 - Serial Number 68, August 2022, Pages 97-108    PDF (1.61 M)
Document Type: Dynamics, Vibrations, and Control
Authors
Hossein Chehardoli* 1; Ehsan Shafie2; Mohammad Eghtesad3
1Corresponding author: Assistant Professor, Faculty of Mechanical Engineering, Ayatollah Boroujerdi University, Lorestan, Iran
2MSc, Faculty of Mechanical Engineering, Shiraz University, Shiraz, Iran
3Professor, Faculty of Mechanical Engineering, Shiraz University, Shiraz, Iran
Receive Date: 12 December 2021,  Revise Date: 14 January 2022,  Accept Date: 28 February 2022 
Abstract
Shape memory alloys (SMAs) are a special kind of smart materials with an intrinsic shape memory effect. This characteristic brings up SMAs as an actuator in dynamical mechanisms. These materials can recover their initial length under special thermal operations. This paper deals with fuzzy-PID control of contrary mechanisms actuating with a pair of SMA wires. The Brinson model combining with the Elahinia’s conditions are employed to describe the phase transformation models. By combining the Newton second law, transformation models, heat transfer and strain relations, the governing equations of the contrary mechanism is derived. Due to nonlinear behavior of SMA actuators, the non-model-based controllers are preferred compared with the model-based ones. Therefore, the fuzzy-PID control method is employed to control the position of the closed-loop system. The fuzzy rules are defined such that the coefficients of the PID controller are tuned according to the system response. Both numerical and experimental results are provided to illustrate the effectiveness of the proposed approach. It will be shown that under the proposed method, the tracking error will converge to zero asymptotically.
Keywords
Shape memory alloy; Phase transformation models; Contrary mechanisms; Brinson model; Fuzzy-PID controller
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