“Iterative learning control”的意思、由来-开放百科全书

词条

Iterative learning control

释义

References
External links

Iterative Learning Control (ILC) is a method of tracking control for systems that work in a repetitive mode. Examples of systems that operate in a repetitive manner include robot arm manipulators, chemical batch processes and reliability testing rigs. In each of these tasks the system is required to perform the same action over and over again with high precision. This action is represented by the objective of accurately tracking a chosen reference signal on a finite time interval.

Repetition allows the system to improve tracking accuracy from repetition to repetition, in effect learning the required input needed to track the reference exactly. The learning process uses information from previous repetitions to improve the control signal ultimately enabling a suitable control action can be found iteratively. The internal model principle yields conditions under which perfect tracking can be achieved but the design of the control algorithm still leaves many decisions to be made to suit the application. A typical, simple control law is of the form:

where is the input to the system during the pth repetition, is the tracking error during the pth repetition and K is a design parameter representing operations on . Achieving perfect tracking through iteration is represented by the mathematical requirement of convergence of the input signals as becomes large whilst the rate of this convergence represents the desirable practical need for the learning process to be rapid. There is also the need to ensure good algorithm performance even in the presence of uncertainty about the details of process dynamics. The operation is crucial to achieving design objectives and ranges from simple scalar gains to sophisticated optimization computations.

References

{{Cite journal

{{Cite book

| last = Moore
| first = K.L.
| year = 1993
| title = Iterative Learning Control for Deterministic Systems
| publisher = Springer-Verlag
| location = London
| isbn = 0-387-19707-9
}}

{{Cite book

|author1=Jian Xin Xu |author2=Ying Tan. | year = 2003
| title = Linear and Nonlinear Iterative Learning Control
| publisher = Springer-Verlag
| page = 177
| isbn = 3-540-40173-3
}}

{{Cite magazine

{{Cite journal

|author1=Owens D.H. |author2=Feng K. | title = Parameter optimization in iterative learning control
| journal = International Journal of Control
| date = 20 July 2003
| volume = 76
| issue = 11
| pages = 1059–1069
| doi = 10.1080/0020717031000121410
}}

{{Cite journal

|author1=Owens D.H. |author2=Hätönen J. | title = Iterative learning control — An optimization paradigm
| journal = Annual Reviews in Control
| year = 2005
| volume = 29
| issue = 1
| pages = 57–70
| doi = 10.1016/j.arcontrol.2005.01.003
}}

{{Cite journal

|author1=Daley S. |author2=Owens D.H. | title = Iterative Learning Control – Monotonicity and Optimization
| journal = International Journal of applied mathematics and computer science
| year = 2008
| volume = 18
| issue = 3
| pages = 179–293
| doi = 10.2478/v10006-008-0026-7
}}

{{Cite journal

|author1=Wang Y. |author2=Gao F. |author3=Doyle III, F.J. | title = Survey on iterative learning control, repetitive control, and run-to-run control
| journal = Journal of process control
| year = 2009
| volume = 19
| issue = 10
| pages = 1589–1600
| doi = 10.1016/j.jprocont.2009.09.006
}}

External links

Southampton Sheffield Iterative Learning Control (SSILC){{webarchive |url=https://web.archive.org/web/20051217144956/http://www.sheffield.ac.uk:80/ilc/ |date=17 December 2005}}

1 : Control theory

随便看

开放百科全书收录14589846条英语、德语、日语等多语种百科知识，基本涵盖了大多数领域的百科知识，是一部内容自由、开放的电子版国际百科全书。