Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k

Bibliographic Details
Main Author: Saluru, Deepak Chaitanya
Language:English
Published: The Ohio State University / OhioLINK 2012
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1338333795
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu13383337952021-08-03T06:05:34Z Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k Saluru, Deepak Chaitanya Aerospace Engineering C-MAPSS40k engine control fault tolerant control model predictive control optimal control <p>Aircraft engine control is a crucial component for the safe and stable operation of gas turbine engines which are complex nonlinear systems. As engines have evolved to higher capabilities it is crucial to update the control strategy to ensure maximum functionality of the engine. Current industrial baseline controllers are based in the Proportional-Integral-Derivative (PID) control scheme along with individual limit controllers having critically damped responses housed in the min-max architecture. </p><p>In light of the distributed engine control architecture that exploits digital electronics and hence higher on-board computational capabilities, the baseline controller is replaced by a Model Predictive Control (MPC) law with on-line optimization. MPC is a model based control technique that can handle complex constrained dynamics thus allowing the incorporation of component faults in the design process of the controller. Component faults occur during an engine's operation mainly due to fan blade-shroud rubbing, structural wear and tear and foreign object ingestion thus affecting the engine performance. </p><p> Simulations on the Linear Time Invariant (LTI) as well as the nonlinear turbofan engine of the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS40k) tool are carried out. In the presence of a component fault, active fault tolerant control using the multi-model MPC approach is applied by switching between the MPC blocks, each using its respective LTI reference model.The control of both the fan speed as well as the thrust for a demand profile in the Power Level Angle (PLA) is investigated and the MPC performance is compared with that of the PID controller demonstrating the successful replacement of the baseline controller with an on-line fault tolerant MPC. The thrust control approach using MPC consumes lesser fuel when compared with the fan speed control approach.</p> 2012-06-26 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1338333795 http://rave.ohiolink.edu/etdc/view?acc_num=osu1338333795 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Aerospace Engineering
C-MAPSS40k
engine control
fault tolerant control
model predictive control
optimal control
spellingShingle Aerospace Engineering
C-MAPSS40k
engine control
fault tolerant control
model predictive control
optimal control
Saluru, Deepak Chaitanya
Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k
author Saluru, Deepak Chaitanya
author_facet Saluru, Deepak Chaitanya
author_sort Saluru, Deepak Chaitanya
title Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k
title_short Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k
title_full Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k
title_fullStr Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k
title_full_unstemmed Active Fault Tolerant Model Predictive Control of a Turbofan Engine using C-MAPSS40k
title_sort active fault tolerant model predictive control of a turbofan engine using c-mapss40k
publisher The Ohio State University / OhioLINK
publishDate 2012
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1338333795
work_keys_str_mv AT salurudeepakchaitanya activefaulttolerantmodelpredictivecontrolofaturbofanengineusingcmapss40k
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