Novel Off-Line Self-Tuning Controller with Guaranteed Stability

被引：8

作者：

Abadi, Ali Soltani Sharif ^{[1
]}

Ordys, Andrew ^{[1
]}

Pierscionek, Barbara ^{[2
]}

机构：

[1] Warsaw Univ Technol, Inst Automat Control & Robot, Fac Mechatron, PL-00661 Warsaw, Poland

[2] Anglia Ruskin Univ, Fac Hlth Educ Med & Social Care, Med Technol Res Ctr, Chelmsford Campus, Chelmsford CM1 1SQ, England

来源：

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | 2023年 / 24卷 / 03期

关键词：

Nonlinear systems; Self-tuning; Lyapunov stability; Control methods; DESIGN; LINEARIZATION; MODELS; SYSTEM;

D O I：

10.1007/s12239-023-0069-7

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Tuning control parameters is an essential task for the controller in all practical applications. This paper presents a new Lyapunov-based off-line self-tuning control (OSTC). method. The OSTC is a nonlinear controller with applications to nonlinear systems. The OSTC uses the settling point and settling time to tune the control parameters. The presented algorithm tested 150,000 simulations to formulate the control parameters. The tuning task is based on the integral of the absolute error (IAE). and integral of time multiplied by absolute error (ITAE). performance criteria. Simulink/MATLAB was employed to test the OSTC method by defining two regulation and tracking control problems. For each control problem, six practices are considered, and the proposed algorithm is validated by comparing the formulated Equations of the control parameters.

引用

页码：851 / 862

页数：12

共 34 条

[11] Self-Tuning Control With a Filter and a Neural Compensator for a Class of Nonlinear Systems [J].