Shahrood University of Technology Journal of Solid and Fluid Mechanics 2251-9475 13 2 2023 05 22 Identification of a Generalized Prandtl-Ishlinskii Model for a Micro Positioning System Actuated by Shape Memory Alloys Actuator Identification of a Generalized Prandtl-Ishlinskii Model for a Micro Positioning System Actuated by Shape Memory Alloys Actuator 15 25 2861 10.22044/jsfm.2023.12718.3697 FA Hossein Rahbari Mechanical Engineering Faculty, Noshirvani Babol University of Technology, Babol, Iran Alireza Fathi Mechanical Engineering Department,, Ferdowsi University of Mashhad Morteza Dardel Mechanical Engineering Faculty, Noshirvani Babol University of Technology, Journal Article 2023 02 12 The application of Shape Memory Alloy (SMA) materials, which are one of the subcategories of smart materials, as an actuator has significantly increased in recent years. However, the application of SMA actuators is restricted due to their slow response and complexity resulting from the nonlinear characteristics of these materials, such as asymmetric hysteresis and saturation. Several methods have been introduced to model these actuators. One of the most powerful and well-known structures for modeling systems with hysteresis behavior is the Generalized Prandtl-Ishlinskii (GPI) model, which is widely used to control these actuators due to its analytical inverse. The current research investigates the reduction of the response time of a micro-positioning platform with two mutual actuators. Based on the obtained experimental results, an experimental-based model using the GPI model was identified. By extracting the inverse of this identified model and implementing it into the input of the system, the issue of removing nonlinear characteristics and linearizing the system was considered for controller design. The results showed that the GPI model properly described the nonlinear behavior of the system despite the complexity caused by the interaction of two mutual actuators. However, identifying a comprehensive model to accurately describe the SMA actuator requires great effort. The application of Shape Memory Alloy (SMA) materials, which are one of the subcategories of smart materials, as an actuator has significantly increased in recent years. However, the application of SMA actuators is restricted due to their slow response and complexity resulting from the nonlinear characteristics of these materials, such as asymmetric hysteresis and saturation. Several methods have been introduced to model these actuators. One of the most powerful and well-known structures for modeling systems with hysteresis behavior is the Generalized Prandtl-Ishlinskii (GPI) model, which is widely used to control these actuators due to its analytical inverse. The current research investigates the reduction of the response time of a micro-positioning platform with two mutual actuators. Based on the obtained experimental results, an experimental-based model using the GPI model was identified. By extracting the inverse of this identified model and implementing it into the input of the system, the issue of removing nonlinear characteristics and linearizing the system was considered for controller design. The results showed that the GPI model properly described the nonlinear behavior of the system despite the complexity caused by the interaction of two mutual actuators. However, identifying a comprehensive model to accurately describe the SMA actuator requires great effort. https://jsfm.shahroodut.ac.ir/article_2861_2948c930425ed966f01150ea193aa232.pdf