Paper Title:
Sliding Mode Control with Adaptive Approaching Law for Bioreactor
  Abstract

Bioprocesses have high nonlinearity and parameter uncertainty. In view of these specific natures of the bioreactor, system identification method was firstly used to linearize the nonlinear system and simplify the model of the biological reactor; then a new sliding mode controller with adaptive reaching law is designed for the reactor. The control method can not only analysis the sliding mode movement near or along the switching surface, but also design the dynamic process in trending segments of the system effectively, thus ensure good movement quality in the entire state space. Simulation results prove that the sliding mode control with adaptive reaching law can improve the control performance with negligible chattering and enhanced robustness.

  Info
Periodical
Advanced Materials Research (Volumes 378-379)
Chapter
Chapter 5: Electronic Materials and Applications
Edited by
Brendan Gan, Yu Gan and Y. Yu
Pages
521-524
DOI
10.4028/www.scientific.net/AMR.378-379.521
Citation
L. P. Fan, Y. Song, J. Zhang, "Sliding Mode Control with Adaptive Approaching Law for Bioreactor", Advanced Materials Research, Vols. 378-379, pp. 521-524, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jian Ping Cai, Jun Er Ma
Chapter 1: Materials Properties
Abstract:In this note, a class of gun control system of tank is considered with all uncertainties, such as unknown constant parameters, unlinearly...
270
Authors: Lu Juan Shen, Ye Bao, Jian Ping Cai
Chapter 2: Intelligent and Adaptive Control
Abstract:In this paper, a class of gun control system of tank is considered with uncertain parameters and the backlash-like hysteresis which modeled...
88
Authors: Yi Min Li, Yang Cai
Abstract:A novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed in this paper based on the integration of Sliding Mode Control...
12
Authors: Guo Qin Gao, Hai Bin Zheng, Xue Mei Niu
Chapter 1: Applied Mechanics Mechanical Engineering
Abstract:This paper addresses the motion control of the parallel mechanism of virtual axis machine tool, which has a complex system model, the...
523