Intelligent PID controller for PIP (Point-to-Point) motion control systems /
Point to Point (PTP) motion control systems play an important role in industrial engineering applications such as advanced manufacturing systems, semiconductor manufacturing, and robotics systems. Until now, proportional-integral-derivative (PID) controllers are still the most popular controller use...
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| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Gombak, Selangor :
Kulliyyah of Engineering, International Islamic University Malaysia,
2009
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| Subjects: | |
| Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
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| 100 | 1 | |a Wali Ahmad (a) Myo Min Htut |9 117954 | |
| 245 | 1 | 0 | |a Intelligent PID controller for PIP (Point-to-Point) motion control systems / |c by Wali Ahmad (a) Myo Min Htut |
| 260 | |a Gombak, Selangor : |b Kulliyyah of Engineering, International Islamic University Malaysia, |c 2009 | ||
| 300 | |a xviii, 73 leaves : |b ill. ; |c 30 cm. | ||
| 336 | |2 rdacontent | ||
| 337 | |2 rdamedia | ||
| 338 | |2 rdacarrier | ||
| 500 | |a "A dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science (Mechatronics) Engineering."--On t.p. | ||
| 502 | |a Thesis (MSMCT) -- International Islamic University Malaysia, 2009. | ||
| 504 | |a Includes bibliographical references (leaves 68-73). | ||
| 520 | |a Point to Point (PTP) motion control systems play an important role in industrial engineering applications such as advanced manufacturing systems, semiconductor manufacturing, and robotics systems. Until now, proportional-integral-derivative (PID) controllers are still the most popular controller used in industrial control systems including PTP motion control systems due to their simplicity and also satisfactory performances. However, since the PID controller is developed based on the linear control theory, the controller gives inconsistent performance for different conditions due to system nonlinearities. In order to overcome this problem, Neuraltuned PID controller using Extended Minimal Resource Allocation Network (EMRAN) algorithm, and Fuzzy-tuned PID controller are proposed, and comparative analysis of their performance is carried out. By applying the aforementioned methods, the PID controller can learn, adapt and change its parameters based on the condition of the controlled-object in real-time. The effectiveness of the proposed methods is evaluated experimentally in real time on an experimental rotary motion control system. The experimental results show that the proposed systems perform better than classical PID controller in terms of not only positioning performance but also robustness to inertia variations. | ||
| 546 | |a Abstracts in English and Arabic. | ||
| 650 | |a PID controllers |9 117955 | ||
| 650 | |a PID controllers |x Mathematical models |9 117956 | ||
| 650 | |a PID controllers |x Stimulation methods |9 117957 | ||
| 655 | |a Theses, IIUM local | ||
| 690 | |a Dissertations, Academic |x Department of Mechatronics Engineering |z IIUM | ||
| 710 | 2 | |a International Islamic University Malaysia. |b Department of Mechatronics Engineering | |
| 856 | 4 | |u http://studentrepo.iium.edu.my/handle/123456789/4903 |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. | |
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