Application of Adaptive Self-Organizing CMAC_GBF to Aircraft Landing System and DSP-Based Hardware Realization

• Main Authors: Chung-Ju Cheng, 鄭宗儒
• Other Authors: Jih-Gau Juang
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/04651875203111225313

碩士 === 國立臺灣海洋大學 === 通訊與導航工程學系 === 99 === Severe weather condition causes serious threat to the passengers and staffs when airplanes are entering the taking off or landing phase. According to a survey of the National Transportation Safety Board, 12 % of aircraft accidents in the years of 1950 to 2009 were weather related. When aircraft approaches landing phase the altitude is low and the speed is slow. If the aircraft encountered wind shear or turbulence while landing, it could cause altitude loss, heading variation and even crash. Nowadays, most aircraft have installed the Automatic Landing System (ALS), it can help aircraft landing stably and reduce pilot’s workload greatly. But control schemes of the conventional ALS usually use gain-scheduling and classical adaptive control techniques. If the flight conditions are out of the preset envelope, the ALS is disabled and the pilot takes over. This thesis presents an aircraft automatic landing control scheme that uses self-organizing CMAC_GBF as controller. Moreover, optimal learning rates are derived by the Lyapunov theorem. The proposed intelligent controller can improve the ALS adaptability to adapt wider range of disturbances, and reduce the risks in landing process. In addition, we accomplish real-time simulation process by using TMS320C6713 DSP set. We utilize CCS to compile program and transfer to DSP’s flash memory through JATG. Real time automatic landing control is realized successfully by the embedded floating-point DSP controller.