SIMULATION OF AUTONOMOUS FLIGHT CONTROL SYSTEM

Abstract : Using various sensors like the accelerometer, GPS module, 3 Axis gyroscope, compass and an ultrasonic range finder, the primary guidance and navigation functions of the UAV can be automated. Additional stabilization controls should be programmed into the Raspberry Pi which is serving as the heart of the System which will provide additional security in case of any external failures.
 EXISTING SYSTEM :
 The ones in existence are merely passive control systems being implemented in 5th generation avionics architecture. Advancements in this field is undertaken by all leading manufacturers and designers like NASA with its Intelligent Flight Control System which incorporates Machine Learning into the system and MIT CSAIL autonomous drone system. However Direct Voice Input systems do not exist for UAVs and the IRS / INS systems share a similarity with the CSNS algorithm.
 DISADVANTAGE :
 PID controllers have slow response, overshoot, long adjustment also has limitations in optimality and robustness. PID controllers are mostly used to control a system so it is used in small UAVs. Accuracy and Stability are two important factors to achieve a target in small UAV.
 PROPOSED SYSTEM :
 The proposed AFCS system like the other systems being researched is only efficient and accurate to a certain level. But however it is also meant to be a technology demonstrator for the simplified autonomous system.
 ADVANTAGE :
 The Direct Voice input will use an advanced speech processing system that is capable of approximately 80-90 % accuracy which is considerably higher than the system implemented in the 2000s in the F 22 program.

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