Intellectual Test System for Internal Combustion Engines

Author Name(s): Lenar A. Galiullin, Shafik Sh. Khuzyatov
Author Email: galilenar@yandex.ru

Abstract

An integral part of the complex process of creating, improving and producing internal combustion engines are testing them. This is explained by the fact that only during testing you can determine the overall technical and economic efficiency of the engine created or upgraded, the actual loads on its parts and assemblies, as well as the correctness of the production technology of serial engines. Mathematical models of engines based on differential equations, tabular structure and artificial intelligence are considered. Among the methods of artificial intelligence highlighted fuzzy logic, allowing better describe the process of controlling the internal combustion engine. The object of control is a test bench with an installed engine and technological equipment, providing testing. Depending on the type of testing, the composition of the equipment interacting with system and the technology of testing can vary. Tests are among the most responsible and time-consuming stages of the life cycle of the engine. At this stage, the final assessment of the structure is carried out, its compliance with technical and technological requirements is determined.

Introduction

The complexity of the engine management systems in recent years has increased significantly – both due to the tightening of environmental standards and requirements for reducing fuel consumption, and due to forcing engines [1]. Despite the fact that there are only two main control parameters – fuel supply and external load, however, the control system operates in real time, therefore, it is advisable to control based on a mathematical model [2]. The full mathematical model of the ICE is too complicated and has not yet been created [3]. Because of this, most engine management systems use a model built on the basis of differential equations [4]. A serious disadvantage of such a model is the complexity of its creation and high error [5]. The use of fuzzy logic in an automated test system (ATS) of an internal combustion engine allows you to control the required test accuracy based on the number of control rules [6]. The more of them, the higher the accuracy, but it requires more ATS computing resources [7]

Conclusion

On the basis of the resulting knowledge base, the test procedure for internal combustion engines has been developed according to GOST 18509-88 «Tractor and combine diesel engines. Methods of bench tests». This standard involves the measurement of motor parameters in a stationary mode with a step equal to 200 rpm. Fuel consumption is chosen as low as possible, which allows for an economical mode of operation, and the torque in its characteristics coincides with the corresponding revolutions.

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