Design of Auto-tuning Algorithms for the 3-Axis Optical Pickups
| Autor: | Wei-Hsiang Chen, 陳偉祥 |
|---|---|
| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 Parameters of the controllers for optical pickup control in optical disc drives, such as for PID controllers or phase lead-lag compensators, are in common practice tuned off-line by engineers to adapt to various pickup dynamics. The process of off-line tuning is time-consuming and not economic. To remedy the aforementioned problem, the control parameters are automatically tuned on-line in this study by MATLB within some intelligent frameworks. A intelligent tuning methods are developed and employed. The usage of a fuzzy logic controller (FLC) to change the parameter in the double-lead compensator to tune the loop gain parameter in the double-lead compensator. And the design parameters of them are searched by genetic algorithm (GA) for attaining the best performance. Simulations is conducted and the results show that better controller performance can be achieved by the intelligent controllers as compared to the classical design methods. Furthermore, the fuzzy double-lead controller owns fast convergent speed and low overshoot. One of the main characteristics of GA algorithm is to prevent the local optimization problem. It can be easily designed without an expert’s knowledge base. So how to application of GA algorithm is become an important research field recently. The main contribution of this thesis is that we use GA algorithm to look for optimal parameter of fuzzy double-lead controller and then achieve the better simulation result. It is shown by computer simulation that GA algorithm can find better fitness value with faster convergent rate. The control performances of the fuzzy double-lead controller are greatly improved especially when compared with fuzzy double-lead controller without GA algorithm. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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