Hyeok Ryu

Autopilot Design Using Hybrid PSO-SQP Algorithm

This paper presents a novel and efficient method for autopilot design by integrating the Particle Swarm Optimization (PSO) algorithm with the Sequential Quadratic Programming (SQP) technique. In the proposed hybrid PSO-SQP algorithm, PSO algorithm is the basic optimizer and the SQP technique is used to reduce computation time and to improve convergence performance. Also, the proposed hybrid PSO-SQP algorithm is applied to autopilot design for a transport aircraft and an air-to-air missile. In view of autopilot design, we note that the proposed design method has further flexibility and control performance than classical method.

Study on a GUI Type Fault Diagnostic Program for a Turboshaft Engine Using Fuzzy and Neural Networks

The helicopter to be operated in a severe flight environmental condition must have a very reliable propulsion system. On-line condition monitoring and fault detection of the engine can promote reliability and availability of the helicopter propulsion system. A hybrid health monitoring program using Fuzzy Logic and Neural Network Algorithms is can proposed. In this hybrid method, the Fuzzy Logic identify easily the faulted components from engine measuring parameter changes, and the Neural Networks can quantify accurately its identified faults. In order to use effectively the fault diagnostic system, a GUI (Graphical User Interface) type program is newly proposed. This program is composed of the real time monitoring part, the engine condition monitoring part and the fault diagnostic part. The real time monitoring part can display measuring parameters of the study turboshaft engine such as power turbine inlet temperature, exhaust gas temperature, fuel flow, torque and gas generator speed. The engine condition monitoring part can evaluate the engine condition through comparison between monitoring performance parameters the base performance parameters analyzed by the base performance analysis program using look-up tables. The fault diagnostic part can identify and quantify the single faults the multiple faults from the monitoring parameters using hybrid method.Copyright