A Trajectory Planning Based Controller to Regulate an Uncertain 3D Overhead Crane System
نویسندگان
چکیده
منابع مشابه
Anti-swing Fuzzy Controller Design for a 3D Overhead Crane
This paper proposes a simple but efficient technique to control 3D overhead crane. Load must track a desired path and not sway more than a reasonable range.The proposed method uses PID control for trolley to track the desired path and fuzzy control compensation to eliminate the load swing. Only the projection of swing angle is applied to design the fuzzy controller. No plant information of cran...
متن کاملAnti-swing Fuzzy Controller Design for a 3D Overhead Crane
This paper proposes a simple but efficient technique to control 3D overhead crane. Load must track a desired path and not sway more than a reasonable range.The proposed method uses PID control for trolley to track the desired path and fuzzy control compensation to eliminate the load swing. Only the projection of swing angle is applied to design the fuzzy controller. No plant information of cran...
متن کاملanti-swing fuzzy controller design for a 3d overhead crane
this paper proposes a simple but efficient technique to control 3d overhead crane. load musttrack a desired path and not sway more than a reasonable range.the proposed method uses pidcontrol for trolley to track the desired path and fuzzy control compensation to eliminate the loadswing. only the projection of swing angle is applied to design the fuzzy controller. no plantinformation of crane is...
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This paper pertains to advanced automation of the load transfer process using overhead cranes. Overhead cranes are widely used in various areas of industry, including manufacturing, construction, shipping, etc. Load transfer operations using overhead cranes have to be performed fast and safely. As such, these operations are handled by expert operators however, the demand for an automatic consis...
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Satisfactory real time control of the overhead crane facilitating fast transit (< 3s) and minimal swing (< 4°) was achieved in the x, y and z directions. Control was achieved in each individual direction using experimental modelling techniques, careful sampling frequency selection, NMSS representation and LQR controller design. To overcome non-linear model variation, a gain scheduling algorithm...
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ژورنال
عنوان ژورنال: International Journal of Applied Mathematics and Computer Science
سال: 2019
ISSN: 2083-8492
DOI: 10.2478/amcs-2019-0051