scholarly journals Direct digital process control with nonminimal prototype control algorithm.

1983 ◽  
Vol 16 (3) ◽  
pp. 241-245
Author(s):  
MASAO IMAEDA ◽  
HIROMI OTSU
Keyword(s):  
Process Control ◽  
Control Algorithm

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.

An Application Seven-Level Converter for VSC-HVDC Station System

2015 ◽  
Vol 799-800 ◽  
pp. 1211-1216
Author(s):  
Narin Watanakul
Keyword(s):  
Process Control ◽  
Control Algorithm ◽  
Current Control ◽  
Multilevel Converter ◽  
Two Phase ◽  
Hvdc System ◽  
Hvdc Transmission ◽  
Data Process ◽  
Three Phase ◽  
Level Converter

This paper presents an application of an asynchronous back to back VSC-HVDC system. Which uses multilevel converter a 7-level Diode-Clamped SPWM converters topology technique for the realization of HVDC system, rated 300MVA (±300 kV). The controller has been proposed by using PQ control and feed-forward decoupled current control algorithm. The design and experimentally controllers of VSC in lab scaled test, MATLAB/Simulink program were performed VSC-HVDC transmission system, the simulation in order to evaluate transient performance, can be controlled independently under two phase to ground faulted and three phase to ground faulted conditions. The system are used as a guideline for analysing and design of the data process control with the PQ-control HVDC system.

Modeling and Simulation of Controlled Manipulation by AFM Nano Robot

2011 ◽  
Vol 110-116 ◽  
pp. 3688-3695 ◽  
Author(s):  
Ali Kafash Hoshiar ◽  
Mohamad Reza Khalili ◽  
Mahmood Hashemi Nejad ◽  
Hafez Raeisi Fard
Keyword(s):  
Finite Element ◽  
Control System ◽  
Process Control ◽  
Control Algorithm ◽  
State Space Model ◽  
Force Transducer ◽  
Process Control System ◽  
Space Model ◽  
Element Simulation ◽  
Recent Developments

In this article a model to describe relation between AFM cantilever’s deformation and force (as a force transducer) is developed. Furthermore a state space model is used to find suitable feedback control. A model which relates force and deformation is described. To verify a Finite element simulation is applied and a control algorithm for manipulation purpose is found. Moreover based on nature of the process control system is designed. Due to recent developments in AFM nanorobot applications in biotechnology and manufacturing nanostructures, understanding of cantilever’s response and process control have received great importance.

Multi-Rate Generalized Predictive Control for Multi-Variable Systems

1993 ◽  
Vol 207 (4) ◽  
pp. 253-260
Author(s):  
I O Park ◽  
J H Oh
Keyword(s):  
Process Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Model Identification ◽  
Measurement Noise ◽  
Noise Model ◽  
Generalized Predictive Control ◽  
Identification Algorithm ◽  
Stochastic Framework ◽  
And Control

The purpose of this paper is to drive the adaptive multi-rate generalized predictive control for multi-variable systems in a stochastic framework. Modelling disturbances as white noise is inadequate for process control because most disturbances encountered in process control are coloured or non-stationary in nature. For that reason a stochastic parallel model identification algorithm for a multi-rate-sampled system is proposed. No attempt is made to identify the noise model. Hence the algorithm is applicable to any measurement noise case. The measurement noise can be arbitrary (for example coloured or non-stationary noise), except for the assumption that it and control inputs are stochastically uncorrelated. Then the control algorithm based on the generalized predictive control is proposed. In order to demonstrate the effectiveness of the proposed control algorithm a simulation study is carried out. The closed-loop performances are excellent.

The PID Process Control Algorithm

2021 ◽  
pp. 133-159
Author(s):  
Richard J. Smythe
Keyword(s):  
Process Control ◽  
Control Algorithm
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