A self-tuning control method for Wiener nonlinear systems and its application to process control problems |
| |
Authors: | Ping Yuan Bi Zhang Zhizhong Mao |
| |
Affiliation: | 1.College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;2.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China |
| |
Abstract: | Many chemical processes can be modeled as Wiener models, which consist of a linear dynamic subsystem follow-ed by a static nonlinear block. In this paper, an effective discrete-time adaptive control method is proposed for Wiener nonlinear systems with uncertainties. The parameterization model is derived based on the inverse of the nonlinear function block. The adaptive control method is motivated by self-tuning control and is derived from a modified Clarke criterion function, which considers both tracking properties and control efforts. The un-certain parameters are updated by a recursive least squares algorithm and the control law exhibits an explicit form. The closed-loop system stability properties are discussed. To demonstrate the effectiveness of the obtained results, two groups of simulation examples including an application to composition control in a continuously stirred tank reactor (CSTR) system are studied. |
| |
Keywords: | Wiener systems Adaptive control Uncertainties Stability CSTR |
本文献已被 CNKI 万方数据 等数据库收录! |
| 点击此处可从《中国化学工程学报》浏览原始摘要信息 |
|
点击此处可从《中国化学工程学报》下载全文 |
|