Integrated design of run-to-run PID controller and SPC monitoring for process disturbance rejection
dc.contributor.author | Tsung, Fugee | en_US |
dc.contributor.author | Shi, Jianjun | en_US |
dc.date.accessioned | 2006-09-11T17:09:37Z | |
dc.date.available | 2006-09-11T17:09:37Z | |
dc.date.issued | 1999-05 | en_US |
dc.identifier.citation | Tsung, FUGEE; Shi, JIANJUN; (1999). "Integrated design of run-to-run PID controller and SPC monitoring for process disturbance rejection." IIE Transactions 31(6): 517-527. <http://hdl.handle.net/2027.42/45925> | en_US |
dc.identifier.issn | 0740-817X | en_US |
dc.identifier.issn | 1573-9724 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45925 | |
dc.description.abstract | An integrated design methodology has been developed for a run-to-run PID controller and SPC monitoring for the purpose of process disturbance rejection. In the paper, the process disturbance is assumed to be an ARMA (1,1) process. A detailed procedure is developed to design a PID controller which minimizes process variability. The performance of the PID controller is also discussed. A joint monitoring of input and output, using Bonferroni's approach, is then designed for the controlled process. The ARL performance is studied. One major contribution of the paper is to develop a complete procedure and design plots, which serve as tools to conduct all the aforementioned tasks. An example is provided to illustrate the integrated design approach. | en_US |
dc.format.extent | 191440 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Engineering | en_US |
dc.subject.other | Mechanical Engineering | en_US |
dc.title | Integrated design of run-to-run PID controller and SPC monitoring for process disturbance rejection | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, 48109-2117, USA | en_US |
dc.contributor.affiliationother | Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45925/1/10756_2004_Article_236231.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1007698222427 | en_US |
dc.identifier.source | IIE Transactions | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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