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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Short, J.S. Aun Neow Poo Chow Yin Lai Pey Yuen Tao Ang, M.H. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Mech. Eng., Nat. Univ. of Singapore, Singapore, Singapore (Short, J.S.; Aun Neow Poo; Ang, M.H.) || Singapore Inst. of Manuf. Technol., Agency for Sci., Singapore, Singapore (Chow Yin Lai; Pey Yuen Tao) |
| Abstract | A new generalized method of stable model inversion is presented with the aim of providing solutions for the feedforward control of underactuated robots. The area of application is in SISO and MIMO systems within robotics which contain only scleronomous constraints. This generalized restriction is discussed followed by a justification of its sufficiency. The method uses a boundary value problem framework along with Hamiltonian formalism, representing the dynamic equations of motion, to solve for the stable model inversion of a robotic system. The benefits of the method include energy savings, enhanced safety, and robot simplification. An example of the robot feedforward control solution is presented to conclude the work. |
| Sponsorship | IEEE Ind. Electron. Soc. (IES) |
| Starting Page | 1415 |
| Ending Page | 1420 |
| File Size | 1045779 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781467391078 |
| DOI | 10.1109/AIM.2015.7222739 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-07 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robots Polynomials Joints Dynamics Torque Feedforward neural networks Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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