Abstract
As the basic proportional-integral-derivative (PID) control with off-the-shelf control hardware is still the widely used standard of industrial control practice, it is important to find some practical ways to increase the contouring accuracy without a need to apply a model-based control scheme which requires tedious dynamic modeling and leads to high computational cost. This paper applied three model-free approaches, namely decentralized PID control with linear PID gain scheduling, decentralized PID control with velocity trajectory input, and decentralized PID control with high-order polynomial motion profile, to a geometrically nonsymmetric parallel kinematics machine (PKM) having 3PRR topology (3 = number of legs, P = prismatic joint, R = revolute joint) to improve its contouring accuracy. The experiments showed that the linear PID gain scheduling does not provide a significant improvement in the PKM contouring accuracy, whereas the velocity trajectory input and the higher-order motion profiles significantly improve the PKM contouring accuracy.
| Original language | British English |
|---|---|
| Title of host publication | Dynamics, Vibration, and Control |
| Publisher | The American Society of Mechanical Engineers(ASME) |
| ISBN (Electronic) | 9780791887639 |
| DOIs | |
| State | Published - 2023 |
| Event | ASME 2023 International Mechanical Engineering Congress and Exposition, IMECE 2023 - New Orleans, United States Duration: 29 Oct 2023 → 2 Nov 2023 |
Publication series
| Name | ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) |
|---|---|
| Volume | 6 |
Conference
| Conference | ASME 2023 International Mechanical Engineering Congress and Exposition, IMECE 2023 |
|---|---|
| Country/Territory | United States |
| City | New Orleans |
| Period | 29/10/23 → 2/11/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- machining
- model-free control
- motion control
- Parallel robots
- position control
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