An Improved Multi-Level Adaptive Control Algorithm Based on Parameters Self-Tuning for a Class of SISO Nonlinear Systems

Feng Qiao; Zhi Zhen Liu

doi:10.4028/www.scientific.net/AMM.740.247

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An Improved Multi-Level Adaptive Control Algorithm Based on Parameters Self-Tuning for a Class of SISO Nonlinear Systems
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740An Improved Multi-Level Adaptive Control Algorithm...

An Improved Multi-Level Adaptive Control Algorithm Based on Parameters Self-Tuning for a Class of SISO Nonlinear Systems

Abstract:

In this paper, a multi-level adaptive control algorithm using parameters self-tuning is proposed for improving the tracking performance of a class of SISO nonlinear systems. This scheme is comprised of the pseudo partial derivative estimation law and the adaptive control law. The adaptive control law is derived from a novel higher order weighted one-step-ahead criterion function which exploits more previous control information. In order to identify the laws’ penalty factors which partly imply the dynamics of the system, an approach of parameters self-tuning is proposed with on-line recursive gradient algorithm. This design is model free and depends directly on the pseudo partial derivative updating on-line with the input and output data Simulation examples are provided to illustrate the effectiveness of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

247-250

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.247

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Online since:

March 2015

Authors:

Feng Qiao*, Zhi Zhen Liu

Keywords:

Adaptive Control, Multi-Level, Nonlinear System, Parameters Self-Tuning

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