In this paper we propose a new self-tuning type Variable Structure Control (VSC) method for a class of nonlinear dynamical systems with parametric uncertainties. The controller is designed to satisfy the sliding mode condition; mean-while the on-line parameter identification is incorporated in the c
Self-tuning controllers for nonlinear systems
β Scribed by Mukul Agarwal; Dale E. Seborg
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 494 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
Two new self-tuning control (STC) strategies for nonlinear control problems are proposed. These strategies are applicable to a broad class of nonlinear single-input, singleoutput systems which can include arbitrary nonlinear functions of the output and the old inputs as well as the products of these functions and any power of the most recent input. Simulation results for a stirred-tank chemical reactor demonstrate that the new nonlinear STC strategy provides significant improvement over conventional STCs based on linear models.
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A nonlinear adaptive control method, based on the rigorous model of pH dynamics, was presented and tested with simulations. The method was found to be effective for pH control systems.
This correspondence is in response to the recent excellent survey of Clarke (1984, Autoraatica, 20, 501-517), which points out that minimum variance self-tuning controllers fail in the control of nonminimum-phase plants. It is also in response to recent algorithms of Ydstie (1984, Preprints 9th IFAC
The contribution presents a class of Single Input Single Output (SISO) discrete self-tuning controllers suitable for industrial applications. The proposed adaptive controllers can be divided into three groups. The "rst group covers PID adaptive algorithms with using of traditional methods. The secon