Optimal trajectory planning considering optimal torque distribution of redundantly actuated parallel mechanism. (December 2018)
- Record Type:
- Journal Article
- Title:
- Optimal trajectory planning considering optimal torque distribution of redundantly actuated parallel mechanism. (December 2018)
- Main Title:
- Optimal trajectory planning considering optimal torque distribution of redundantly actuated parallel mechanism
- Authors:
- Park, Sumin
Kim, Jongwon
Lee, Giuk - Abstract:
- Previous studies on the optimal operation planning of redundantly actuated parallel mechanisms have focused on optimal torque distribution for a predefined trajectory. However, the optimized result obtained for a predefined trajectory cannot guarantee an optimal operation plan, because the torque distribution ability of a redundantly actuated parallel mechanism is highly dependent on the shape of the end-effector trajectory. Therefore, we can expect the redundantly actuated parallel mechanism performance to be enhanced when both the trajectory and torque distribution are optimized during the optimal operation planning stage. We propose a novel redundantly actuated parallel mechanism optimization procedure that can optimize both the end-effector trajectory and torque distribution. The proposed procedure is composed of two stages of optimizers, i.e. upper- and lower-level optimizers that generate the end-effector trajectory and distribute the torques along the generated trajectory, respectively. Composition of these two stages of the optimization procedure allows optimization of both the trajectory and torque distribution, despite the correlation between them. The proposed optimization procedure is simulated using two types of cost functions. All the simulation results show that the proposed procedure facilitates optimization of the end-effector trajectory and the torque distribution concurrently. Also, the cost function value is minimized to a greater extent than in thePrevious studies on the optimal operation planning of redundantly actuated parallel mechanisms have focused on optimal torque distribution for a predefined trajectory. However, the optimized result obtained for a predefined trajectory cannot guarantee an optimal operation plan, because the torque distribution ability of a redundantly actuated parallel mechanism is highly dependent on the shape of the end-effector trajectory. Therefore, we can expect the redundantly actuated parallel mechanism performance to be enhanced when both the trajectory and torque distribution are optimized during the optimal operation planning stage. We propose a novel redundantly actuated parallel mechanism optimization procedure that can optimize both the end-effector trajectory and torque distribution. The proposed procedure is composed of two stages of optimizers, i.e. upper- and lower-level optimizers that generate the end-effector trajectory and distribute the torques along the generated trajectory, respectively. Composition of these two stages of the optimization procedure allows optimization of both the trajectory and torque distribution, despite the correlation between them. The proposed optimization procedure is simulated using two types of cost functions. All the simulation results show that the proposed procedure facilitates optimization of the end-effector trajectory and the torque distribution concurrently. Also, the cost function value is minimized to a greater extent than in the result with the optimal torque distribution along the initial trajectory. … (more)
- Is Part Of:
- Proceedings of the Institution of Mechanical Engineers. Volume 232:Number 23(2018)
- Journal:
- Proceedings of the Institution of Mechanical Engineers
- Issue:
- Volume 232:Number 23(2018)
- Issue Display:
- Volume 232, Issue 23 (2018)
- Year:
- 2018
- Volume:
- 232
- Issue:
- 23
- Issue Sort Value:
- 2018-0232-0023-0000
- Page Start:
- 4410
- Page End:
- 4419
- Publication Date:
- 2018-12
- Subjects:
- Trajectory optimization -- redundant actuation -- parallel mechanism
Mechanical engineering -- Periodicals
621.05 - Journal URLs:
- http://pic.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗
http://journals.pepublishing.com/content/119771 ↗ - DOI:
- 10.1177/0954406217751818 ↗
- Languages:
- English
- ISSNs:
- 0954-4062
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8952.xml