Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 선우명호 | - |
dc.date.accessioned | 2019-12-08T10:59:21Z | - |
dc.date.available | 2019-12-08T10:59:21Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, v. 19, no. 3, page. 433-442 | en_US |
dc.identifier.issn | 1229-9138 | - |
dc.identifier.issn | 1976-3832 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs12239-018-0042-z | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/119133 | - |
dc.description.abstract | The modern diesel engines equip the exhaust gas recirculation (EGR) system to suppress the NOx emissions. In addition, the variable geometric turbocharger (VGT) system is installed to improve the drivability and fuel efficiency. These EGR and VGT systems have cross-coupled behavior because they interact with the intake and the exhaust manifolds. Furthermore, the turbocharger time delay, gas flow dynamics through EGR pipe cause the nonlinearity characteristics. These nonlinear multi-input-multi-output characteristics cause the degradation of control accuracy, especially during the transient condition. In order to improve the control accuracy, this study proposes an iterative learning control (ILC) algorithm for feedforward controller of EGR and VGT systems. The feedforward controller obtains the values about EGR and VGT actuators using the previous control results in predefined transient states. The ILC algorithm consists of a PD-type learning function and a low-pass filter. The control gains of learning function are determined to guarantee the convergence of learning results. In addition, the low-pass filter is designed for robustness against plant disturbance. The proposed control algorithm was validated by engine experiment which repeated predefined transient states. The error was reduced by 15 % according to the gain. As a result, the proposed algorithm is affordable for improving the transient control performance. | en_US |
dc.description.sponsorship | This work was financially supported by the BK21 plus program (22A20130000045) under the Ministry of Education, Republic of Korea, the Industrial Strategy Technology Development Program (No. 10039673, 10060068, 10042633, 10079961, 10080284), the International Collaborative Research and Development Program (N0001992) under the Ministry of Trade, Industry and Energy (MOTIE Korea), and National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (No. 2011-0017495). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | KOREAN SOC AUTOMOTIVE ENGINEERS-KSAE | en_US |
dc.subject | Diesel engine control | en_US |
dc.subject | Learning control | en_US |
dc.subject | EGR | en_US |
dc.subject | VGT | en_US |
dc.subject | Iterative learning control | en_US |
dc.subject | Transient control | en_US |
dc.title | Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 19 | - |
dc.identifier.doi | 10.1007/s12239-018-0042-z | - |
dc.relation.page | 433-442 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | - |
dc.contributor.googleauthor | Min, Kyunghan | - |
dc.contributor.googleauthor | Sunwoo, Myoungho | - |
dc.contributor.googleauthor | Han, Manbae | - |
dc.relation.code | 2018010766 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | msunwoo | - |
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