Model Predictive control.pdf-资料库

hjq451506709-10942075-16359647429814951180.pdf-第1页.png

第1页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第2页.png

第2页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第3页.png

第3页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第4页.png

第4页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第5页.png

第5页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第6页.png

第6页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第7页.png

第7页 / 共422页

hjq451506709-10942075-16359647429814951180.pdf-第8页.png

第8页 / 共422页

$GYDQFHG7H[WERRNVLQ&RQWURODQG6LJQDO3URFHVVLQJ

6HULHV(GLWRUV 3URIHVVRU0LFKDHO-*ULPEOH3URIHVVRURI,QGXVWULDO6\VWHPVDQG'LUHFWRU 3URIHVVRU0LFKDHO$-RKQVRQ3URIHVVRURI&RQWURO6\VWHPVDQG'HSXW\'LUHFWRU ,QGXVWULDO&RQWURO&HQWUH'HSDUWPHQWRI(OHFWURQLFDQG(OHFWULFDO(QJLQHHULQJ 8QLYHUVLW\RI6WUDWKFO\GH*UDKDP+LOOV%XLOGLQJ*HRUJH6WUHHW*ODVJRZ*4(8. 2WKHUWLWOHVSXEOLVKHGLQWKLVVHULHV *HQHWLF$OJRULWKPV .)0DQ.67DQJDQG6.ZRQJ 1HXUDO1HWZRUNVIRU0RGHOOLQJDQG&RQWURORI'\QDPLF6\VWHPV 01ÒUJDDUG25DYQ/.+DQVHQDQG1.3RXOVHQ )DXOW'HWHFWLRQDQG'LDJQRVLVLQ,QGXVWULDO6\VWHPV /+&KLDQJ(/5XVVHOODQG5'%UDDW] 6RIW&RPSXWLQJ /)RUWXQD*5L]]RWWR0/DYRUJQD*1XQQDUL0*;LELOLDDQG5&DSRQHWWR 6WDWLVWLFDO6LJQDO3URFHVVLQJ 7&KRQDYHO 'LVFUHWHWLPH6WRFKDVWLF3URFHVVHVQG(GLWLRQ 76ÐGHUVWUÐP 3DUDOOHO&RPSXWLQJIRU5HDOWLPH6LJQDO3URFHVVLQJDQG&RQWURO 027RNKL0$+RVVDLQDQG0+6KDKHHG 0XOWLYDULDEOH&RQWURO6\VWHPV 3$OEHUWRVDQG$6DOD &RQWURO6\VWHPVZLWK,QSXWDQG2XWSXW&RQVWUDLQWV $+*ODWWIHOGHUDQG:6FKDXIHOEHUJHU $QDO\VLVDQG&RQWURORI1RQOLQHDU3URFHVV6\VWHPV .+DQJRV-%RNRUDQG*6]HGHUNÃQ\L 'LJLWDO6HOIWXQLQJ&RQWUROOHUV 9%RE»O-%ÐKP-)HVVODQG-0DFK»ÿHN 3ULQFLSOHVRI$GDSWLYH)LOWHUVDQG6HOIOHDUQLQJ6\VWHPV $=DNQLFK &RQWURORI5RERW0DQLSXODWRUVLQ-RLQW6SDFH 5.HOO\96DQWLE»ËH]DQG$/RUÇD 5REXVW&RQWURO'HVLJQZLWK0$7/$% ':*X3+3HWNRYDQG00.RQVWDQWLQRY &RQWURORI'HDGWLPH3URFHVVHV -(1RUPH\5LFRDQG()&DPDFKR 3XEOLFDWLRQGXH-XQH 5RERWLFV %6LFLOLDQRDQG/6FLDYLFFR 3XEOLFDWLRQGXH-XO\

(8)8ओ&DPDFKRओDQGओ&8ओ%RUGRQVओ ओ ओ0RGHOओ3UHGLFWLYHओ FRQWUROओ 6HFRQGओ(GLWLRQओ ओ ओ ओ ओ ओ ओ ओ ओ ओ ओओओओओओओओओओओओओओओओओ ओ ओ ओ ओ ओ ओ ओ ओ ओ ओ ओओओओ

3URIHVVRUओ(8)8ओ&DPDFKRओओ $VVRFLDWHओ3URIHVVRUओ&8ओ%RUGRQVओ (VFXHODओ6XSHULRUओGHओ,QJHQLHURVओ8QLYHUVLGDGओGHओ6HYLOODओ &DPLQRओGHओORVओ'HVFXEULPLHQWRVओ61ओJA<ओ6HYLOODओ6SDLQओ ओ ओ ओ ओ ओ ओओ %ULWLVKओ/LEUDU\ओ&DWDORJXLQJओLQओ3XEOLFDWLRQओ'DWDओ &DPDFKRओ(8ओ)8ओ ओ 0RGHOओSUHGLFWLYHओFRQWURO8ओrओQGओHG8ओrओओ$GYDQFHGओWH[WERRNVओ ओ ओ A83UHGLFWLYHओFRQWUROओ ओ ,87LWOHओ,,8%RUGRQVओ&8ओओ&DUORVओओ ओ 8Xओ ओ ,6%1ओAXOJओ ओ /LEUDU\ओRIओ&RQJUHVVओ&DWDORJLQJ3LQ33XEOLFDWLRQओ'DWDओ &DPDFKRओ(8)8ओ ओ 0RGHOओSUHGLFWLYHओFRQWUROओओ(8)8ओ&DPDFKRओDQGओ&8ओ%RUGRQV8ओ ओ ओ LQओFRQWUROओDQGओVLJQDOओSURFHVVLQJओओ ओ S8ओओFP8ओrओओ$GYDQFHGओWH[WERRNVओLQओFRQWUROओDQGओVLJQDOओSURFHVVLQJओओ ,QFOXGHVओELEOLRJUDSKLFDOओUHIHUHQFHVओDQGओLQGH[8ओ ISBN 978-1-85233-694-3 ISBN 978-0-85729-398-5 (eBook) DOI 10.1007/978-0-85729-398-5 ओA8ओ3UHGLFWLYHओFRQWURO8ओ,8ओ%RUGRQVओ&8ओओ&DUORVओओA3ओओओओ,,8ओ7LWOH8ओओओ,,,8ओ6HULHV8ओ ओ ओ ओ ओ 7-AS88&Jओओ<<ओ 8X33GFओ ओ $GYDQFHGओ7H[WERRNVओLQओ&RQWUROओDQGओ6LJQDOओ3URFHVVLQJओ,661ओAJ3ओ ISBN 978-1-85233-694-3 ओ ओ6SULQJHU39HUODJओ/RQGRQओओ<To Janet E.F.C. To Carlos and Marta C.B.
Series Editors’ Foreword The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry of control and signal processing. This preliminary battle between old and new usually takes place at conferences, through the Internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. A new concept in control and signal processing is known to have arrived when sufficient material has evolved for the topic to be taught as a specialised tutorial workshop or as a course to undergraduate, graduate or industrial engineers. Advanced Textbooks in Control and Signal Processing are designed as a vehicle for the systematic presentation of course material for both popular and innovative topics in the discipline. It is hoped that prospective authors will welcome the opportunity to publish a structured and systematic presentation of some of the newer emerging control and signal processing technologies in the textbook series. The books of E.F. Camacho and C. Bordons on model predictive control provide a valuable archive of the development of this particular control technology and theoretical paradigm. In 1995 Professors Camacho and Bordons published their monograph Model Predictive Control in the Process Industries (ISBN 3-540- 19924-1) in the Springer-Verlag London Advances in Industrial Control series. As the title demonstrates, this monograph emphasized the widespread use of the model predictive control technique in the process industries. It was the use of simple models and the ability of the method easily to accommodate system constraints that gave the method its advantage over classical control. Another feature was the optimisation framework of the method where minimising energy and resource usage are widely used concepts in the process industries. The Advances in Industrial Control monograph on model predictive control was a very successful book. Somehow the mix of introductions to Model Predictive Control theory and the empirical practical guidelines developed by the authors was readily absorbed by industrial engineers and academic researchers alike. So that
viii Series Editors’ Foreword just three years later in 1998, the monograph was revised and reincarnated as a volume in the Advanced Textbooks in Control and Signal Processing series simply titled Model Predictive Control (ISBN 3-540-76241-8). Now a further five years has passed and the subject of model predictive control continues to grow along with the stature and experience of the distinguished authors, Professors Camacho and Bordons. This second edition has three new chapters and an up-graded applications chapter. The mix of theory and empirical practical insight remains the same but the new chapters are on nonlinear model predictive control, applications to hybrid systems and on fast implementation methods. The new applications included are for an olive oil mill and a robot problem. Thus the second edition archives recent theoretical developments to nonlinear and hybrid systems whilst the robot application broadens the applications archive to areas other than the process industries. We welcome this second edition of Professors Camacho and Bordons’ Model Predictive Control. Engineers and control researchers new to the predictive control methods will find the early chapters of the book provide an excellent historical and tutorial introduction to the techniques. Seasoned researchers will be interested to add to their knowledge an assessment of the potential of predictive control methods for nonlinear and hybrid systems. In five years’ time we may even be looking forward to a further update of this very successful control engineering method in a third edition of a fine Advanced Textbooks in Control and Signal Processing volume! M.J. Grimble and M.A. Johnson Industrial Control Centre Glasgow, Scotland, U.K. October 2003
Preface Model Predictive Control (MPC) has developed considerably over the last two decades, both within the research control community and in industry. This success can be attributed to the fact that Model Predictive Control is, perhaps, the most general way of posing the process control problem in the time domain. Model Predictive Control formulation integrates optimal con- trol, stochastic control, control of processes with dead time, multivariable control and future references when available. Another advantage of Model Predictive Control is that because of the ﬁnite control horizon used, con- straints and, in general nonlinear processes which are frequently found in in- dustry, can be handled. Although Model Predictive Control has been found to be quite a robust type of control in most reported applications, stability and robustness proofs have been difﬁcult to obtain because of the ﬁnite hori- zon used. This has been a drawback for a wider dissemination of Model Predictive Control in the control research community. Some new and very promising results in this context allow one to think that this control tech- nique will experience greater expansion within this community in the near future. On the other hand, although a number of applications have been re- ported in both industry and research institutions, Model Predictive Control has not yet reached in industry the popularity that its potential would sug- gest. One reason for this is that its implementation requires some mathemat- ical complexities which are not a problem in general for the research control community, where mathematical packages are normally fully available, but which represent a drawback for the use of the technique by control engineers in practice. One of the goals of this text is to contribute to ﬁlling the gap between the empirical way in which practitioners tend to use control algorithms and the powerful but sometimes abstractly formulated techniques developed by con- trol researchers. The book focuses on implementation issues for Model Pre- dictive Controllers and intends to present easy ways of implementing them in industry. The book also aims to serve as a guide to implement Model Pre-

资料库

Model Predictive control.pdf

相关推荐

开发技术

热门标签

最新资料