Integration Project Systems and Control 2013 Group 4: Difference between revisions
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==== Week 2 ==== | ==== Week 2 ==== | ||
* ... | * As already mentioned in week 1, a simple model of a dc motor is made to (possibly) use for model-based control design instead of the dynamics of the pizza-robot in terms of its generalized coordinates since this is too complex and not usable as model-based control design. | ||
* FRF-measurements are performed of each joint with a stabilizing controller and a specific reference trajectory, however large friction is encountered which seems to be not constant along the trajectory of each joint. This influence the FRF-measurements at low frequency. | |||
Revision as of 02:50, 1 March 2013
Group Members
| Name: | Student id: | Email: |
| Koen Gruntjens | 0760934 | k.g.j.gruntjens@student.tue.nl |
| E. van Broekhoven | 0637413 | e.c.v.broekhoven@student.tue.nl |
| W. Geelen | 0744855 | w.geelen@student.tue.nl |
| L. Hazeleger | 0651762 | l.hazeleger@student.tue.nl |
Planning
| Week: | |
|---|---|
| Feb 18 - Feb 24 | |
| - Qualitative analysis of robot | |
| - Derivation of kinematics and dynamics (Leroy, Erik) | |
| - Preparation of first experiment session (Wouter, Koen) | |
| - Investigate different control-design | |
| - Group meeting | |
| Feb 25 - Mar 3 | |
| - FRF-measurement and analyse (Wouter,Leroy (Tuesday)) | |
| - Coupled/decoupled experiment (Wouter,Koen (Friday)) | |
| - Nonlinearity experiment (Wouter,Koen (Friday)) | |
| - Static friction experiment (Wouter,Koen (Friday)) | |
| - Design of feedback-control (Iterative learning control) (All) | |
| - Group meeting (Friday) | |
| Mar 4 - Mar 10 | |
| - Feedback-control Experiments(Erik, Koen) | |
| - Discuss feedforward-control (All) | |
| - Group meeting |
Progress
Week 1
- The first step in this project was to identify the pizza-robot by creating a list of all the (straightforward) (design) requirements of the pizza-robot (to design experiments) such as:
| - The pizza is not allowed to fall during transport, therefore the maximum acceleration (horizontally and vertically) is limited |
| - The robot is not allowed to touch the pizza holding brackets, the trajectory design must prevent crashes |
| - 3 pizza's must be transported and the pizzas must be transported as fast as possible (approx. 10-15 sec), and thus the fastest trajectory must be found |
| - The controller must stabilize the system |
| - Controller output is limited, no saturation |
| - The accuracy of the pizza-robot end-effector when obtaining a pizza from the brackets should be approx. 5mm |
| - Controller output is limited, keep saturation of motors in mind |
- A next step was to identify the limitations of the pizza-robot such as
| - Degrees of freedom to specify the workspace of the end-effector |
| - The maximum input signals [V] of the motors of the pizza-robot and consequently the maximum velocity/acceleration of each joint |
- To identify the pizza-robot in a more specific way:
| - The kinematics of the pizza-robot are derived which are helpfull for the trajectory design and determining the dynamics of the pizza-robot using the DH convention. |
| - A simple model (dynamics) of the pizza-robot is determined to possibly use model-based control design (dynamics of the pizza-robot in terms of the generalized coordinates is difficult, consider a simple model for each joint seperately) |
| - FRF-measurement experiments are prepared (designing a ref. trajectory, a stabilizing controller) |
- Different types of feedback-control are considered which are usable (and possible with the knowledge of the groupmembers)
Week 2
- As already mentioned in week 1, a simple model of a dc motor is made to (possibly) use for model-based control design instead of the dynamics of the pizza-robot in terms of its generalized coordinates since this is too complex and not usable as model-based control design.
- FRF-measurements are performed of each joint with a stabilizing controller and a specific reference trajectory, however large friction is encountered which seems to be not constant along the trajectory of each joint. This influence the FRF-measurements at low frequency.