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Flapping Wing Vehicles - Numerical and Experimental Approach: Lung-Jieh Yang, Balasubramanian Esakki Flapping Wing Vehicles - Numerical and Experimental Approach
Lung-Jieh Yang, Balasubramanian Esakki
R2,181 Discovery Miles 21 810 Ships in 12 - 19 working days

Covers all the aspects of a flapping-wing vehicles needed to design one and understand how/why it flies. Explains related engineering practice including fabrication, materials, and manufacturing. Includes CFD analysis of 3D wing profile. Discusses image-based control of group of Ornithopters. Explores indigenous PCB design for achieving altitude and attitude control.

Flapping Wing Vehicles - Numerical and Experimental Approach (Hardcover): Lung-Jieh Yang, Balasubramanian Esakki Flapping Wing Vehicles - Numerical and Experimental Approach (Hardcover)
Lung-Jieh Yang, Balasubramanian Esakki
R5,515 Discovery Miles 55 150 Ships in 12 - 19 working days

Covers all the aspects of a flapping-wing vehicles needed to design one and understand how/why it flies. Explains related engineering practice including fabrication, materials, and manufacturing. Includes CFD analysis of 3D wing profile. Discusses image-based control of group of Ornithopters. Explores indigenous PCB design for achieving altitude and attitude control.

Two Collaborative Robot Manipulators Handling a Flexible Object (Paperback): Balasubramanian Esakki Two Collaborative Robot Manipulators Handling a Flexible Object (Paperback)
Balasubramanian Esakki
R2,117 Discovery Miles 21 170 Ships in 10 - 15 working days

Robots are often used in industry to handle flexible objects, such as frames, leather goods, thin plates and rubber tubes. Most of the earlier studies dealt with handling of rigid objects and only a few have focused on the collaborative manipulators handling flexible objects. Therefore in this book two rigid robot manipulators collaboratively moving the flexible object in the desired trajectory and also suppressing the vibration of the object are considered for the study. The complete system of dynamic equations is obtained with the help of derived kinematic relations and dynamic equations of manipulators as well as the flexible object. Then, by employing singular perturbation technique slow and fast subsystems are identified. In order to handle parameter uncertainties, robust control algorithms are suggested. As a further improvement of control law for the slow subsystem, two control algorithms are suggested. The first one focused on the avoidance of velocity signal measurement which is useful to eliminate the need of velocity sensors and the second controller aims at avoiding the complex regressor in the control law. Stability analysis and simulation results are also presented.

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