Iterative learning control for flexible manipulator using fourier basis function
نویسندگان
چکیده
منابع مشابه
Hybrid Iterative Learning Control of a Flexible Manipulator
sacrificed, efficient controls have to be studied and developed. Feedback control techniques use measurement and estimates of the system states for control of rigid-body motion and vibration suppression. In this case, using measurements at the hub and end-point of the manipulator as the basis for applying control torque at the hub will allow control of the end-point position. Thus, feedback con...
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We describe the Fourier basis, a linear value function approximation scheme based on the Fourier series. We empirically demonstrate that it performs well compared to radial basis functions and the polynomial basis, the two most popular fixed bases for linear value function approximation, and is competitive with learned proto-value functions.
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This paper evaluates a new and simple controller design method based on QFT (quantitative feedback theory) for a two-link manipulator whose first link is rigid and the second is flexible. A piezoelectric patch is attached to the surface of the flexible link for vibration suppression of it. This system is modeled as a nonlinear multi-input multi-output (MIMO) control systems whose inputs are two...
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Robotic manipulators are widely used to help in dangerous, monotonous, and tedious jobs. Most of the existing robotic manipulators are designed and built in a manner to maximize stiffness in an attempt to minimize the vibration of the end-effectors. This high stiffness is achieved by using heavy material and bulky design. Hence, the existing heavy rigid manipulators are shown to be inefficient ...
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ژورنال
عنوان ژورنال: International Journal of Automation and Computing
سال: 2015
ISSN: 1476-8186,1751-8520
DOI: 10.1007/s11633-015-0932-8