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- W2519585414 abstract "A 3-Axis Gimbal structure is used to inertially stabilize a platform which can be used to track afixed or moving point in space with the help of optical sensors such as Laser, IR or camera installed on the platform. This paper presents a solution to the problem of non-linear indirect relationship between the platform's Euler angles, gimbals' orientation angles and disturbance angles by using a Neural network as a function approximator. Angular disturbances are incorporated in the model to make the system's control robust in a certain range of disturbances. Three gimbals are controlled by three DC motors using their respective Fuzzy tuned PID controllers for a fast response. The Neural network calculates the respective orientation angles for the gimbals solving the problem of loop interaction of three gimbals control. The whole system is modelled in Matlab/Simulink and comparative results are shown for different disturbances and for varying number of neurons in the hidden layer. Based on the results for different disturbances, problem of loop interaction is solved and system tracks object despite kinematic disturbances and indirect kinematic relationships between gimbals and platform." @default.
- W2519585414 created "2016-09-23" @default.
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- W2519585414 date "2016-03-01" @default.
- W2519585414 modified "2023-09-26" @default.
- W2519585414 title "Adaptive Fuzzy-PID and Neural network based object tracking using a 3-Axis platform" @default.
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- W2519585414 doi "https://doi.org/10.1109/icetech.2016.7569402" @default.
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