期刊
CONTROL ENGINEERING PRACTICE
卷 29, 期 -, 页码 201-211出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2014.02.008
关键词
Engine control; Extremum seeking; Optimization; Parameter estimation; Alternative fuels
资金
- Australia Research Council [DP0985388]
- Australian Research Council [DP0985388] Funding Source: Australian Research Council
Alternative fueled engines offer greater challenges for engine control courtesy of uncertain fuel composition. This makes optimal tuning of input parameters like spark advance extremely difficult in most existing ECU architectures. This paper proposes the use of grey-box extremum seeking techniques to provide real-time optimization of the spark advance in alternative fueled engines. Since practical implementation of grey-box extremum seeking methods is typically done using digital technology, this paper takes advantage of emulation design methods to port the existing continuous-time grey-box extremum seeking methods to discrete-time frameworks. The ability and flexibility of the proposed discrete-time framework is demonstrated through simulations and in practical situation using a natural gas fueled engine. (C) 2014 Elsevier Ltd. All rights reserved.
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