Applications of Fuzzy Logic and CMAC to Automatic Landing Control and Hardware Realization by DSP
| Autor: | Wen-Pin Lin, 林文斌 |
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| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 Modern aircraft have equipped with the Automatic Landing System (ALS) which helps aircraft landing safely by providing proper altitude, position, angle and so on. The control schemes of traditional ALS often utilize gain scheduling techniques. In severe weather condition, ALS is disabled and the pilot takes over when the flying status is beyond what we designed beforehand. If the pilot lacks in experience of judging the environment, he will raise the risk of flight at landing phase. According to flight records, there were 21.3% related to weather factors out of 19,562 aircraft accidents, from 1994 to 2003. Most of them occurred during final approach or landing. This study proposes an intelligent aircraft automatic landing control that uses a Fuzzy-Cerebellar Model Articulation Controller (Fuzzy-CMAC) to improve the performance of conventional ALS and guide the aircraft to a safe landing. Furthermore, we use the evolutionary computation (EC) approach to modify the bridle parameter of pitch autopilot. The intelligent controller we proposed can empower the ALS adaptability to adapt to wider range of disturbances. Comparisons of aircraft landing performance on the basis of different control schemes are provided. Via VisSim/TI C2000 Rapid development platform, we accomplish real-time simulation process further, and the compiled program can be transferred to DSP’s flash memory through JATG, and then the embedded fixed-point DSP controller realizes automatic landing control on-line. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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