Fuzzy Modelling And Control Of Marine Diesel Engine Process

Introduction

1.1 Background of the Study

The internal combustion engines, or often called as diesel engines, has been found as the primary resource for automotive and automobiles. However, the trend in the rapid increase in fuel cost and the dependence on oil from other nations has forced the users for decreased fuel intake (Jadhao, 2013; Vossoughi and Rezazadeh, 2005). When compared to a gasoline engine that has a higher level of utilization in off-road engineering requests as well as trucks, the diesel engine is highly beneficial because of its decreased fuel consumption levels per power output. The diesel engines have undergone careful planning to surpass plenty of rigorous emissions certification confines (Etghani and Tahani, 2012). The engine parameters that include the Compression Ratio (CR), as well as the injection timing greatly, influences the processes and the emissions concerned with a diesel engine, which operates with biodiesel blends, in reality (Sivaramakrishnan, 2014). Normally, the design criterion will be preset during the planning stage itself. It is not an easy task to alter the plan parameters in accordance with the fuel consumption.

But, the functional constraints could be changed without much difficulty (Nandkishore et al; 2014). The engines are operating with vegetable oil, later to trans-esterification with alcohols, are imagined to impart advanced process through any methodology, in contrast to diesel utilization. The mechanical progression helps in the production of biodiesel (Mudga et al; 2011). The reason is that it renders decreased destructive emissions. Rapeseed Oil (RO) is yet another renewable energy source that can be used in tractors as such or as a mixture of it and diesel fuel. The recycling of Carbon dioxide (CO2) is facilitated through photosynthesis formation at the time of combustion. Photosynthesis is the process required to convert the solar energy into chemical energy. Renewable bio fuels usually involve contemporary carbon fixation, such as those that occur in plants through the process of photosynthesis. Moreover, during photosynthesis process, water get oxidised to oxygen. Biodiesels are otherwise termed as carbon neutral because they tend to produce more amount of CO2 (Paatil et al; 2012). The alterable compression ratio engine is operated using a blend containing about 0–25% of diesel by volume under no load to full load constraints (Shivakumar and Rao, 2010). The increase in the compression ratios, in addition to the fairly large oxygen content inside the combustion chamber, offers improved fuel proficiency levels.

1.2 Statement of the Problem

Since a mathematical model is a description of system behaviour, accurate modelling for a complex nonlinear system is very difficult to achieve in practice. Sometimes for nonlinear systems it can be impossible to describe them by analytical equations. Moreover, very often, the system structure or parameters are not precisely known. Thus, parametric model identification represents an alternative for developing experimental models of complex systems, such as combustion engines. An approach using quadratic regression models for emissions to find an optimal set of engine settings in each operating point can be found in the literature. In contrast to traditional nonlinear identification methods, where detailed knowledge about the model’s structure is required, fuzzy systems and neural networks are capable of deriving nonlinear models directly from measured input/output data without detailed system assumptions (Nelles, 2001). Recent publications also stress the importance of considering not only the static behavior of the combustion process, but also to implement dynamic control strategies, especially for turbocharged engines with exhaust gas recirculation (Hafner et al; 2000). The development of suitable nonlinear approaches can allow adequate dynamic models of combustion engine emissions to be developed.

1.3 Purpose of the Study

The purpose of this study is to investigate fuzzy modelling and control of marine diesel engine process.

1.4 Significance of the Study

The results of this study will be an additional knowledge to the existing literature on fuzzy modelling and control of marine diesel engine process.

1.5 Scope of the Study

This study concerns about fuzzy modelling and control of marine diesel engine process.

1.6 Limitation of the Study

There is no study undertaken by a researcher that is perfect. The imperfection of any research is always due to some factors negatively affecting a researcher in the course of carrying out research. Therefore, time constraint has shown no mercy to the researcher. The limited time has to be shared among many alternative uses, which includes reading, attending lectures and writing of this research, also distance and its attendant costs of travelling to obtain information which may enhance the writing of this study was a major limitation.