Synthesis of a Control Algorithm for Nonlinear Plant Using Correction of Controlled Plant Dynamics and Compensation of Perturbations

2020 ◽  
Vol 21 (12) ◽  
pp. 667-674
Author(s):  
G. K. Shadrin
Keyword(s):  
Control Algorithm ◽  
Plant Dynamics ◽  
Nonlinear Plant

scholarly journals REPETITIVE ADAPTIVE CONTROL OF NONLINEAR UNCERTAIN PLANT WITH INPUT SATURATION

2021 ◽  
pp. 122-135
Author(s):  
E.A. Shelenok ◽  
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Algorithm ◽  
Reference Model ◽  
Input Saturation ◽  
Adaptive Control System ◽  
Bounded Disturbances ◽  
Adaptive Control Algorithm ◽  
Fast Acting ◽  
Nonlinear Plant

The article proposes solution to the problem of synthesizing adaptive control algorithm for dy-namic T-periodic nonlinear plant operating under conditions of structural and parametric uncer-tainty, in the presence of input restrictions and constant bounded disturbances. The hyperstabil-ity criterion, L-dissipativity conditions, fast-acting filter-correctors, and an implicit reference model are used as the methods for synthesis of repetitive adaptive control system.

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

Modeling and Control for Plant Dynamics Based on Reinforcement Learning

2009 ◽  
Vol 129 (4) ◽  
pp. 363-367
Author(s):  
Tomoyuki Maeda ◽  
Makishi Nakayama ◽  
Hiroshi Narazaki ◽  
Akira Kitamura
Keyword(s):  
Reinforcement Learning ◽  
Modeling And Control ◽  
Plant Dynamics ◽  
And Control

Adaptive depth control algorithm for sound tracing

2018 ◽  
Vol 24 (5) ◽  
pp. 21-30
Author(s):  
Eun Jae Kim ◽  
Woonam Chung ◽  
Woochan Park ◽  
Yun Juwon ◽  
Youngsik Kim
Keyword(s):  
Control Algorithm ◽  
Depth Control

Control Algorithm for an Industrial Robotic Arm Using Computer Vision

2015 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Germán Buitrago Salazar ◽  
Olga Lucía Ramos ◽  
Dario Amaya
Keyword(s):  
Computer Vision ◽  
Control Algorithm ◽  
Robotic Arm
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