Optimization of 3-DoF Manipulators' Parasitic Motion with the Instantaneous Restriction Space-Based Analytic Coupling Relation
- Authors
- Nigatu, Hassen; Kim, Doik
- Issue Date
- 2021-05
- Publisher
- MDPI
- Citation
- APPLIED SCIENCES-BASEL, v.11, no.10
- Abstract
- Featured Application Velocity-level parasitic motion optimization is performed based on the instantaneous restriction space analysis. The manipulator whose parasitic motion is successfully eliminated from the workspace has tremendous benefit for robotic assistive surgery, precision machining devices, and other applications that are critical for manipulators with parasitic motion. This paper presents a velocity-level approach to optimizing the parasitic motion of 3-degrees of freedom (DoFs) parallel manipulators. To achieve this objective, we first systematically derive an analytical velocity-level parasitic motion equation as a primary step for the optimization. The paper utilizes an analytic structural constraint equation that describes the manipulator's restriction space to formulate the parasitic motion equation via the task variable coupling relation. Then, the relevant geometric variables are identified from the analytic coupling equation. The Quasi-Newton method is used for the direction-specific minimization, i.e., optimizing either the x-axis or y-axis parasitic motion. The pattern-search algorithm is applied to optimize all parasitic terms from the workspace. The proposed approach equivalently describes the 3-PhRS, 3-PvRS, 3RPS manipulators. Moreover, other manipulators within a similar category can be equivalently expressed by the proposed method. Finally, the paper presents the resulting optimum configurations and numerical simulations to demonstrate the approach.
- Keywords
- PARALLEL MECHANISM; KINEMATIC ANALYSIS; DESIGN; parallel manipulator; IMS; IRS; screw theory; constraint analysis; parasitic motion; optimization
- ISSN
- 2076-3417
- URI
- https://pubs.kist.re.kr/handle/201004/117022
- DOI
- 10.3390/app11104690
- Appears in Collections:
- KIST Article > 2021
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