Multi-objective optimization of dual-fuel engine performance in PPCI mode based on preference decision

Fuel ◽  
2022 ◽  
Vol 312 ◽  
pp. 122901
Author(s):  
Cheng Ma ◽  
En-Zhe Song ◽  
Chong Yao ◽  
Yun Long ◽  
Shun-Liang Ding ◽  
...  
Keyword(s):  
Engine Performance ◽  
Dual Fuel ◽  
Multi Objective Optimization ◽  
Multi Objective

Automated Multi-Objective Optimization Process for Preliminary Engine Design

2012 ◽  
Author(s):  
Philipp Kupijai ◽  
Dieter Bestle ◽  
Peter M. Flassig ◽  
Daniel Kickenweitz
Keyword(s):  
Product Life Cycle ◽  
Engine Performance ◽  
Process Efficiency ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Main Challenge ◽  
Engine Design ◽  
Direct Model ◽  
Huge Impact ◽  
Amount Of Knowledge

The main challenge within the preliminary engine design phase is that only a small amount of knowledge about the engine is available, but decisions with huge impact on product life cycle costs have to be made. The paper will demonstrate how efficient optimization strategies can support the design engineer to find a proper engine concept. The proposed preliminary engine design process calculates engine performance and basic geometries. It has been automated in order to enable design studies and optimization. The design task is formulated as multi-objective optimization problem, and different solution strategies are tested and discussed. Besides a direct model optimization several surrogate modeling techniques are implemented and a reduction of the multi-objective problem to a single-objective problem using the ε-constraint method is applied which significantly increases process efficiency.

Multi-Objective Robust Optimization of Air Engine Using IOSO Technology

2004 ◽  
Author(s):  
Egorov N. Igor ◽  
Kretinin V. Gennady ◽  
Leshchenko A. Igor ◽  
Kuptzov V. Sergey
Keyword(s):  
Fuel Consumption ◽  
Engine Performance ◽  
Optimal Solution ◽  
Performance Characteristics ◽  
Robust Design Optimization ◽  
Maintenance Cost ◽  
Pareto Optimum ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Aircraft System

This paper demonstrates the multi-objective optimization of air engine in aircraft system using either Deterministic or Robust Design Optimization statements. The goal is to obtain the Pareto-optimum frontier for the air engine and aircraft parameters. Performance characteristics of engine include the following: specific fuel consumption; thrust, with external resistance included, for any flight operating modes of aircraft; weight; the engine size parameters; engine’s life period; level of engine noise; and maintenance costs of the engine. Performance characteristics of an aircraft include passenger-per-kilometer fuel consumption, direct maintenance expenditures, maintenance cost, terrain noise level, take-off runway length, maximum flight altitude, maximum flight Mach number for different parameters of the operation process of the engine, and the various aircraft geometry parameters. While solving a problem of optimizing an engine in an aircraft system, conditions may exist where values of objective function and constraints can not be calculated. This can be caused by both the unfeasibility of a whole system for certain combinations of design variables, and the instability of numerical schemes used as mathematical models. Such conditions can even lead to a crash of the mathematical model. The existence of such areas usually substantially complicates the solution of optimization tasks and in some cases makes it impossible to find optimal solution. The paper illustrates that IOSO algorithms can deal with such cases very efficiently. This paper presents the result of the probabilistic statement of the multi-objective optimization problem, which decreases technical risks when developing modern objects and systems with the highest level of efficiency.

Active Hierarchical Fuzzy Control for Gas Turbine Altitude Relighting Using Multi-Objective Optimization

2006 ◽  
Author(s):  
Sogkyun Kim ◽  
Haydn Thompson ◽  
Peter Fleming
Keyword(s):  
Fuzzy Controller ◽  
Engine Performance ◽  
Multi Objective Optimization ◽  
Fuzzy Controllers ◽  
Idle Speed ◽  
Multi Objective ◽  
Turbofan Engines ◽  
Surge Margin ◽  
Compressor Surge ◽  
Low Altitude

The developments of high bypass turbofan engines and improvements in high temperature materials have resulted in smaller engine cores. These smaller core engines result in correspondingly lower airflows that introduce their own design problems, including failure to reach idle, stagnation, increased time to reach idle and lack of surge margin. Such problem can occur in engine relighting at low altitude and immediately following take-off. Engineers have provided solutions to such problems but they tend to be specific solutions for individual engines. In this paper a systematic approach to improve engine performance in altitude relighting is addressed which does not involve any modification to hardware, including the engine components or the fuel metering unit. The application of active control solutions has been evaluated to improve engine low altitude relighting performance. Initially an active fuzzy controller has been designed to improve the pull-away performance after relight. Further, an active hierarchical fuzzy controller has also been designed to establish if it can offer further benefits. Multi-objective optimization is used, both to optimize the parameters of the fuzzy controllers and also to produce a concise number of fuzzy rules for the fuzzy controller(s). Compared to the conventional controller, with a look-up table approach, the active fuzzy controllers can reduce the time to reach idle speed, by utilising compressor surge margin and increase combustion operability. In this way, a generic and more flexible framework for designing relighting logic emerges, that captures the knowledge incorporated within the design of the original logic. This leads to significant improvements in the design of future relighting control systems.

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