Identification of a non-linear internal combustion engine model for on-line indicated torque estimation

In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel economy model for a light-duty vehicle adopting backward simulation method was developed, and it mainly consists of vehicle dynamic model, internal combustion engine model, transmission model, and differential model. The internal combustion engine model consists of the brake-specific fuel consumption maps as functions of engine torque and engine speed, and the brake-specific fuel consumption map near sea level was constructed based on engine experimental data, and the brake-specific fuel consumption maps at high altitudes were calculated by GT-Power Modeling of the internal combustion engine. The fuel consumption rate was calculated from the brake-specific fuel consumption maps and brake power and used to calculate the fuel economy of the light-duty vehicle. The model predicted fuel consumption data met well with the test results, and the model prediction errors are within 5%.

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A reduced order internal combustion engine model for transmission development

International Conference on Gears 2017 ◽

10.51202/9783181022948-1191 ◽

2017 ◽

pp. 1191-1198

Author(s):

K. Togai ◽

N. Fujinaga

Keyword(s):

Internal Combustion Engine ◽

Combustion Engine ◽

Internal Combustion ◽

Reduced Order ◽

Engine Model

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Pseudo-Decoupling and Control of Unidentified Plant

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.3143746 ◽

1986 ◽

Vol 108 (1) ◽

pp. 74-79

Author(s):

S. Thompson

Keyword(s):

Internal Combustion Engine ◽

Combustion Engine ◽

Design Procedure ◽

Internal Combustion ◽

Individual Basis ◽

On Line ◽

Diagonally Dominant ◽

And Control ◽

Step Responses

A procedure based on measured step responses, is presented for the pseudo-decoupling of basically linear, nonoscillatory, multivariable plant. The method generates pre- and post-compensator matrices that will tend to make an otherwise nondominant plant diagonally dominant. Once this is achieved, each loop is then tuned on an individual basis using one of the classical on-line methods, thus eliminating the need for a model. The method is illustrated by means of two examples. The first demonstrates the design procedure and the second reports on the application of the method in controlling the power generated by an internal combustion engine.

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Development and Validation of an On-line Hydrogen-Natural Gas Mixing System for Internal Combustion Engine Testing

10.4271/2008-01-1580 ◽

2008 ◽

Cited By ~ 7

Author(s):

Fanhua Ma ◽

Yu Wang ◽

Junjun Wang ◽

Shuli Zhao ◽

Yong Yin ◽

...

Keyword(s):

Natural Gas ◽

Internal Combustion Engine ◽

Combustion Engine ◽

Internal Combustion ◽

Gas Mixing ◽

On Line ◽

Engine Testing ◽

Development And Validation

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Designing Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control : Applied to Internal Combustion Engine

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.376.383 ◽

2013 ◽

Vol 376 ◽

pp. 383-389

Author(s):

Mohammad Javad Nekooei ◽

Koto Jaswar ◽

Agoes Priyanto

Keyword(s):

Internal Combustion Engine ◽

Structure Function ◽

Combustion Engine ◽

Variable Structure Control ◽

Variable Structure ◽

Internal Combustion ◽

Inference System ◽

Structure Control ◽

Fuel Ratio ◽

On Line

A Multi Input Multi Output (MIMO) fuzzy estimator variable structure control (VSC) which containing an on-line controller coefficient tuned with the aim of a fuzzy back stepping algorithm. Satisfactory trajectories tracking among the internal combustion engine (IC engine) air to fuel ratio and the preferred input is certified in this paper. The fuzzy controller deployed in developed fuzzy estimator variable structure controller works using Lyapunov fuzzy inference system (FIS) with least model based rule base. Function among variable structure function, error and the error’s rate is represented by model. The outputs show fuel ratio. The fuzzy back stepping tactic is an on-line variable structure function fixing with the aim of an adaptive approach. MIMO fuzzy estimator and VSC performance with an on-line fuzzy back stepping algorithm (FBAFVSC) tuned with the aim of controller coefficient is confirmed using a comparison with VSC and planned approach. Simulation outputs indicate excellent presentation of fuel ratio in attendance of ambiguity and exterior annoyance.

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