Soft computing applications on a SR-30 turbojet engine

Abstract

The use of soft-computing algorithms in hardware-in-the-loop applications has been investigated. A Proportional-Integral-Derivative (PID) classical controller and a Fuzzy Logic Controller (FLC) were designed and successfully tested on the Turbine Technologies SR-30 turbojet engine for the main-stage operation of the engine. Transfer function model of the plant was obtained using frequency-response method. Closed-loop controllers both with the PID and FLC algorithms were tested in a simulated environment before their application. Additionally, application of Bayesian Belief Networks (BBN) for the start-up sequence of the engine was investigated and a BBN design has been made.

SR-30 turbojet engine real-time sensor health monitoring using neural networks, and Bayesian belief networks

“…The upgrades allowed for automated start up of the engine using the graphical user interface programming language, LabVIEW. The upgraded engine has been used for research concerning closed loop control using both PID and Fuzzy controllers [24]. A schematic of the engine is presented in Fig.…”

“…The upper 13 nodes indicate the probability of sensor inconsistency based on noise and bias, sensor failure, and engine failure. Using results stemming from experimental SR-30 engine tests conducted by Watanabe [23,24], prior parametric analysis yields that the conditional matrices for each of the nodes of the BBN Bayesian belief network for sensor failure Identification. (for example: The Th RPM P T denotes prediction of the Th sensor based on the RPM, P and T sensors.…”

“…The experiments to obtain data for NN training and statistical analysis were accomplished with the use of this test bed. A detailed description of the turbine jet engine experimental facility can be found in references [24] and [23]. The facility has been briefly described here.…”

Error Evaluation of Hardware-in-the-Loop Simulation of a Gas Turbine Engine Fuel Controller

“…In order to verify this implementation, the HIL simulation is a suitable approach in the initial verification of the control system, as reported in many studies. For example, in [8] the design of a fuzzy controller for a micro-jet engine is discussed. In [9], a start controller for a mini turbojet engine is investigated.…”

Structural Health Monitoring Using Index Based Reasoning For Unmanned Aerial Vehicles

“…Once a health monitoring system is developed for turbojet engines, it may be adopted to the rocket engines with relatively simple adjustments. Thus, the model of the SR-30 turbojet engine and its controller (Watanabe et al 2004) was used to testify the performance of the proposed health monitoring system for an aerospace engine. In this simulation, multiple IBR nodes were applied to estimate the health conditions of the system according to the vibration and the temperature information acquired by the model based analysis.…”