z-logo
open-access-imgOpen Access
Experimental Verification of Robust Controller for Electronic Governor of Small Gas Engine Generator
Author(s) -
Koichi Okamura,
Yuya Tanaka,
Kenji Takahata,
Jianming Yang
Publication year - 2018
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2018.p0123
Subject(s) - gas engine , automotive engineering , governor , controller (irrigation) , gas generator , generator (circuit theory) , electric generator , engineering , control theory (sociology) , computer science , mechanical engineering , power (physics) , aerospace engineering , physics , agronomy , control (management) , quantum mechanics , artificial intelligence , biology
In this paper, a novel application of a robust controller for an electronic governor of a small gas engine generator is presented. There are a few studies regarding the fluctuations in the concentration of bio-methane fuel and load fluctuation of a generator using an approximately 1-kW small gas engine generator. For a relatively small-scale local-production-type energy circulation system, such as the gas energy from a Tambo (GET) system, it is necessary to develop a small gas engine generator that can use the generated unpurified bio-methane gas to accommodate the load fluctuation. The GET system is a bio-methane gas production system, utilizing the sustainable resources from a paddy field, without requiring any distinct auxiliary facilities. We have examined the bio-methane gas produced from the GET system as the fuel of a small gas engine generator, which can supply electric energy and thermal energy to a greenhouse. We have studied the application of a robust engine controller by combining a model matching controller and an optimal observer (MM_OBSV controller) with the electronic governor of the small gas engine generator. The results indicate that the control system is adapted for the input disturbance (load fluctuation and modeling error), with the MM_OBSV controller embedded in the electronic governor of the small gas engine generator.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom