Extremism seeking control based on the super-twisting algorithm

被引：2

作者：

Torres, Ixbalank ^{[1
]}

Lopez-Caamal, Fernando ^{[2
]}

Hernandez-Escoto, Hector ^{[2
]}

Vargas, Alejandro ^{[3
]}

机构：

[1] Univ Guanajuato, Dept Ingn Elect, CA Telemat, Carretera Salamanca Valle Santiago Km 3-5 1-8, Salamanca 36885, Mexico

[2] Univ Guanajuato, Dept Ingn Quim, Guanajuato 36050, Mexico

[3] Inst Ingn UNAM, Lab Invest Proc Avanzados Tratamiento Aguas, Av Juriquilla 3001, Queretaro 76230, Mexico

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

关键词：

Extremum seeking control; sliding modes; super-twisting algorithm; differentiators; process control;

D O I：

10.1016/j.ifacol.2020.12.2211

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article addresses the problem of extremum seeking of a continuous-time dynamical system with a single input and a single output. First, a super-twisting-based gradient-based optimization algorithm is proposed to compute the input that leads to the extremum value of an unknown, convex objective function. Since the algorithm requires the input-output gradient of the system's response, a super-twisting based differentiator is proposed to compute the gradient using the measured output and the controlled input. Feasibility of the extremum seeking controller is demonstrated via closed-loop simulations over a microalgae production photobioreactor. Copyright (C) 2020 The Authors.

引用

页码：1621 / 1626

页数：6

共 14 条

[1] Nonlinear extremum seeking inspired on second order sliding modes [J].