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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhu, Yuanming Hou, Zhongsheng |
| Abstract | Without the explicit process identification, the authors propose a model-free adaptive control framework for unknown plant by using the concept of equivalent dynamic linearisation controller. The controller has linear incremental structure and its local dynamics is equivalent to the ideal controller in theory. Hence, the problem of determining the structure of candidate controller is transformed to the problem of finding a sequence of local dynamic controllers to approximate the ideal controller. With the help of gradient information extracted from input and output (I/O) data of the plant, the optimal controller parameter sequence is generated by minimising a user-defined control criterion. This method gives a solution on how to determine the candidate controller structure. The controller design, parameter tuning and controller validation are based on I/O data of the plant. Hence, it could reduce the influence of internal disturbance or unmodelled dynamics. The effectiveness of the proposed method is illustrated by the simulation of a continuous polymerisation reaction process in a jacketed continuous stirred tank reactor system. Meanwhile, a simulation comparison is carried out to show the superiority of neural network data model in model-free adaptive control framework. |
| Starting Page | 1162 |
| Ending Page | 1172 |
| Page Count | 11 |
| ISSN | 17518644 |
| Volume Number | 9 |
| e-ISSN | 17518652 |
| Issue Number | Issue 7, Apr (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/9/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0743 |
| Journal | IET Control Theory & Applications |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Adaptive Control Continuous Polymerisation Reaction Process Control System Analysis Control System Synthesis Controller Design Controller Dynamic Linearisation-based Model-free Adaptive Control Framework Gradient Information I/O Data Input And Output Data Jacketed Continuous Stirred Tank Reactor System Linear Incremental Structure Linearisation Technique Local Dynamic Controller Sequence Neural Network Data Model Nonlinear Control System Nonlinear System Optimal Control Optimal Controller Parameter Sequence Parameter Tuning Self Adjusting Control System Synthesis Method Unknown Plant User-defined Control Criterion |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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