Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/7403
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dc.contributor.authorPatra, Nandinien_US
dc.contributor.authorSharma, Abhinaven_US
dc.contributor.authorApalani, Palani Iyamperumalen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T11:11:35Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T11:11:35Z-
dc.date.issued2018-
dc.identifier.citationPatil, R., Patra, N., Sharma, A., Kavitha, P., & Apalani, I. (2018). Design and development of peristaltic soft robot using shape memory alloy actuators with different control strategies. Paper presented at the IOP Conference Series: Materials Science and Engineering, , 390(1) doi:10.1088/1757-899X/390/1/012044en_US
dc.identifier.issn1757-8981-
dc.identifier.otherEID(2-s2.0-85051360307)-
dc.identifier.urihttps://doi.org/10.1088/1757-899X/390/1/012044-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/7403-
dc.description.abstractThis paper presents design, development and different optimal control strategies for a spiral, shape memory alloy (SMA) actuators for robotics applications. The actuator material used is thermally activated Ni-Ti SMA which exhibits high torque capacity. SMA based actuators are widely used in robotics applications because of their large energy density and super-elasticity. Here describe the multi-direction movement of soft robot based on SMA actuators. To controlling precise position in minimum time for SMA actuator suitable controller require. Here we investigated the different ideal controlling method for design soft robot model. The Control strategies for soft robot developed using Matlab Simulink; here we investigate P, PI, PD and PID types of controller. For real-time controller implementation we compare the controller responses with respect to the desired set point of operating robot. Thus, we can identify the PID controller is suitable for real-time designing the soft robot model depending upon different controlling responses and least 3.47 integrate absolute error (IAE) and 2.119 integrate square error (ISE). © Published under licence by IOP Publishing Ltd.en_US
dc.language.isoenen_US
dc.publisherInstitute of Physics Publishingen_US
dc.sourceIOP Conference Series: Materials Science and Engineeringen_US
dc.subjectMachine designen_US
dc.subjectManufactureen_US
dc.subjectMicroactuatorsen_US
dc.subjectPlanningen_US
dc.subjectRoboticsen_US
dc.subjectRobotsen_US
dc.subjectShape memory effecten_US
dc.subjectThree term control systemsen_US
dc.subjectTitanium alloysen_US
dc.subjectController responseen_US
dc.subjectControlling methodsen_US
dc.subjectDesign and Developmenten_US
dc.subjectOptimal control strategyen_US
dc.subjectReal time controllersen_US
dc.subjectRobotics applicationsen_US
dc.subjectShape memory alloy actuatorsen_US
dc.subjectThermally activateden_US
dc.subjectControllersen_US
dc.titleDesign and Development of Peristaltic Soft Robot Using Shape Memory Alloy Actuators with different control strategiesen_US
dc.typeConference Paperen_US
dc.rights.licenseAll Open Access, Bronze-
Appears in Collections:Department of Metallurgical Engineering and Materials Sciences

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