- Title
- Optimizing electric adjustment mechanism using the combination of multi-body dynamics and control
- Creator
- Congyanga, Yu, Dequana, Zhu, Chaoxiana, Wang, Lin, Zhu, Tingting, Chu, Tien-Chien, Jen, Liao Juana
- Subject
- Collaborative optimization, Multi-objective, Hybrid algorithm
- Date
- 2019
- Type
- Conference proceedings
- Identifier
- http://hdl.handle.net/10210/406451
- Identifier
- uj:34173
- Identifier
- Citation: Chongyang, Z.D., et al. 2019 : Optimizing electric adjustment mechanism using the combination of multi-body dynamics and control.
- Description
- Abstract : Optimization was carried out on the electric adjustment mechanism for transplanter by using the multidisciplinary design with weight, transmission efficiency, vibration frequency, and control error as the optimization goals. Then, a collaborative optimization model for the multidisciplinary design of a mechanism system was constructed. Based on ISIGHT software, the multidisciplinary design integration platform for the electric adjustment mechanism was built. A hybrid algorithm comprising the dual sequential quadratic programming method and the multi-island genetic algorithm was used to calculate the model. Optimization results show that the weight of the electric adjustment mechanism drops by 13.10%, its vibration frequency decreases by 27.71%, its transmission efficiency increases by 20.26%, and the control error decreases by 36.98%. Under the mutual coordination and balance of all discipline goals, the optimal values of the design variables of the electric adjustment mechanism indicate overall optimal performance.
- Language
- English
- Rights
- ©2019, authors
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | 14748_Manuscript CE 2019.pdf | 454 KB | Adobe Acrobat PDF | View Details Download |