Abstract

The Advisory Council for Aeronautics Research in Europe (ACARE) Flight Path 2050 focuses on ambitious and severe targets for the next generation of air travel systems (e.g., 75% reduction in CO2 emissions per passenger kilometer, a 90% reduction in NOx emissions, and 65% reduction in noise emission of flying aircraft relative to the capabilities of typical new aircraft in 2000). In order to meet these requirements, aircraft engines should work very close to their operating limits. Therefore, the importance of advanced control strategies to satisfy all engine control modes simultaneously while protecting them from malfunctions and physical damages is being more crucial these days. In the last three decades, fuzzy controllers (FCs) have been proposed as a high potential solution for performance improvement of the next generation of aircraft engines. Based on an analytic review, this paper divides the trend of FCs design into two main lines including pure FCs (PFC) and min–max FCs (MMFC). These two main architectures are then designed, implemented on hardware, and applied in a case study to analyze the advantages and disadvantages of each structure. The analysis of hardware-in-the-loop (HIL) simulation results shows that the pure FC structure would be a high potential candidate for maneuverability and response time indices improvement (e.g., military applications); while min–max FC architecture has a great potential for future civil aero-engines where the fuel consumption and steady-state responses are more important. The simulation results are also compared with those of industrial min–max controllers to confirm the feasibility and reliability of the fuzzy controllers for real-world application. The results of this paper propose a general roadmap for fuzzy controllers’ structure selection for new and next generation of aircraft engines.

Highlights

  • A gas turbine engine (GTE) is a type of continuous combustion engines

  • The implemented controllers were simulated in both the HIL platform and model in the loop (MIL) with the engine model to investigate the effectiveness and performance of each controller

  • Different fuzzy controller structures for gas turbine aero-engines are investigated in this paper

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Summary

Introduction

Main elements common in all GTEs are an upstream rotating gas compressor, a combustion chamber, and a downstream turbine on the same shaft as the compressor This combination is usually called gas generator (GG). GTEs have many applications like surface vehicles (race cars, tanks, locomotives, etc.), aircraft and rotorcraft engines, ships and marine applications, heavy-duty gas turbines for power plants, and integrated renewable and gas-fired energy generation systems. Concerning this variety of applications and different operating conditions, different control modes should be defined and satisfied in GTEs. like any other mechanical system, a proper control strategy plays a vital role in GTEs safer operation.

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