Control Characteristics of Shape Memory Alloy Actuator Using Resistance Feedback Control Method

2008 ◽  
pp. 178-183
Author(s):  
Yuji Takeda ◽  
Hiroki Cho ◽  
Takaei Yamamoto ◽  
Toshio Sakuma ◽  
Akihiko Suzuki
Keyword(s):  
Feedback Control ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Control Method ◽  
Shape Memory Alloy Actuator ◽  
Feedback Control Method

scholarly journals Exploitation of shape memory alloy actuator using resistance feedback control and its development

2010 ◽  
Vol 20 ◽  
pp. 97-103 ◽  
Author(s):  
Hiroki CHO ◽  
Takaei YAMAMOTO ◽  
Yuji TAKEDA ◽  
Akihiko SUZUKI ◽  
Toshio SAKUMA
Keyword(s):  
Feedback Control ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shape Memory Alloy Actuator

Stochastic recruitment limited control of shape memory alloy based on Markov chain model

2021 ◽  
pp. 1045389X2098699
Author(s):  
Jianjiang Cui ◽  
Cheng’en Liu ◽  
Chen Zhang
Keyword(s):  
Feedback Control ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Control Method ◽  
Markov Chain Model ◽  
Limited Feedback ◽  
Chain Model ◽  
Physiological Basis ◽  
Stochastic Recruitment ◽  
Scaling Coefficient

A new control method of Shape Memory Alloy (SMA) actuators based on stochastic recruitment is proposed. From the perspective of bionic control, the physiological basis of stochastic recruitment limited feedback control of artificial muscle is explained. The limited feedback control system of two-state cells and multi-state cells are established, and the limited feedback control law is deduced for these two kinds of systems. In the Simulink environment, two kinds of limited feedback control algorithms are simulated and compared, which verifies the feasibility of the algorithm. Aiming at the key problem of scaling coefficient in the system, the longitudinal and transverse comparative experiments are carried out to analyze the influence of the scaling coefficient on the system.

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