Computer-Based Control for Chemical Systems Using LabVIEW® in Conjunction with MATLAB® (original) (raw)
Related papers
A Labview Based Monitoring and Controllingof Various Process Variables
2014
The objective of this work is to demonstrate the operation of a system that allows monitoring and controlling process variables (PV) such as Temperature, Pressure, Flow and Level Control using Labview. The corresponding PV values are measured and converted into Digital Signals using NI-DAQ and these are controlled in LabView. The Control signal is sent back to the process station via Ni-DAQ to the corresponding Actuators. The main idea behind is to make a real time fully automated control system using LabVIEW.
Computer Aided Chemical Engineering, 2011
The use of different control applications in automated processes, poses the problem of how to exchange data in Real-Time (RT) between different software platforms. This paper presents a new methodology developed for input and output data exchange between LabVIEW ® and MATLAB ® /Simulink ® , and provides an overview on available methodologies for data exchange comparing their advantages/disadvantages. Finally, a case study is presented in detail where a method based on TCP/IP plus Simulation Interface Toolkit (SIT) is implemented for experimental data exchange between a pilot-scale continuous distillation plant acquisition/control and supervision system carried out using a FieldPoint system from National Instruments (NI) that integrates with LabVIEW ® software and a high level Model Based Predictive Control (MPC) algorithm developed in MATLAB ® /Simulink ® platform.
AN ALTERNATIVE DISTRIBUTED CONTROL USING LabVIEW
The distributed process control is done through Distributed control system (DCS). DCS is a computerized control employed in the industry to monitor and control the production line . These industries include Petrochemical industries, Fertilizers manufacturing industries, oil industries , where it requires continuous monitoring and controlling. DCS is one among the Industrial Control System Technique(ICS) , the other ICS techniques includes supervisory control and data acquisition (SCADA) system, distributed control system (DCS) and programmable logic controllers (PLC).The aim of the proposed project is to analyze process of Reverse osmosis plant DCS using LabVIEW. The leading companies in DCS business today are Honeywell, Rockwell, Yokogawa and Siemens. The proposed approach is the distributed control for an industrial plant using LabVIEW. The mode of operation employed in the designed VI includes AUTO MODE and MANUAL MODE. Auto mode are not user interfaced and the process takes place automatically with the assigned Manual operation. In addition to that the other two proposed approach involves the creation of Database management and Alarm management.
ADVANCES IN CONTROL TECHNIQUES AND PROCESS ANALYSIS WITH LAB VIEW AND DCS
TJPRC, 2013
In process control application, automatic controllers are introduced. The most widely used industrial controller is the PID (Proportional-Integral-Derivative) controller. Here the tuning of PID controller is done using Ziegler-Nichols method. For the multi variable process and for the chemical industries the IMC (Internal Model Control) controller is used. IMC bas become the leading form of advanced control in the process industry. In this paper the proposed method uses both. (i.e.) IMC Based PID controller. Here is to develop a IMC and IMC Based PID controller for the temperature process. Since temperature is a highly non-linear process. An IMC and IMC Based PID are designed. The modeling of the physical system are presented using different control tuning techniques and applied for the regulation of the process. The structure of the models has been implanting using LabVIEW software. The different controllers are included in this paper (PID Z-N, IMC and IMC Based PID) the performance analysis of models is examined. Among these three control schemes, IMC Based PID regulated with minimum rise time, settling time and overshoot. The real time application is implemented for this paper by continuous monitoring the process in SCADA (Supervisory Control and Data Acquisition), analyzing the process on LabVIEW, and controlling the overall process by using DCS (Distributed Control System), and communicating this with OPC SERVER.
Fresenius Journal of Analytical Chemistry, 1977
Der Einfluß der Art der analytischen Methode auf die Regelbarkeit eines Prozesses wird anhand eines Modellprozesses im Laboratoriumsmaßstab demonstriert. Die Auswirkung der Analysengenauigkeit, der Dauer der Analyse sowie der Zeit zwischen zwei Probenahmen wird untersucht. Da das Modell den Jahresverlauf eines Prozesses in wenigen Tagen simulieren kann, ist es auch für Unterrichtszwecke geeignet. Außerdem bietet es dem Analytiker die Möglichkeit, die optimalen Analysenparameter auch dann zu bestimmen, wenn die theoretische Grundlage fehlt. A model process on laboratory scale is presented for the demonstration of the influence of the properties of an analytical method on the controllability of a process. Investigated are the influence of the analysis accuracy, the analysis time and the time between two sampling actions. As the model simulates a years operation of a real process in a few days, it can be used for educational training. Moreover, it enables the analyst to deduce the optimal analytical parameters in those cases also for which theoretical relations are missing.
An automated control laboratory station
1994
Describes the development of a microcomputer-controlled laboratory station known as ACLS (Automated Control Laboratory Station). It is a flexible experimental station with a friendly online user interface and a graphical oriented environment for analysis, testing and simulation of physical systems. It provides an environment for training students in real-time laboratory exercises and the facility for implementation and testing of control algorithms online. It incorporates features that was intended to make laboratory teaching more attractive and to introduce students to practical aspects of control systems analysis and design
2020
This paper presents a "Virtual Instrument" for analysing components for an automation system. This system is a didactic model for educational purpose. The important point is to learn the influence of the three parameters of the controller, respectively proportional (P), integrator (I) and derivative (D). Also, in order to study the performance of the system, it is necessary to know the influence of the amplification factor (Kp), the time constant (T), the pulsation (ω) and the damping factor (ξ). Key-Words: controller, damping factor, time constant, pulsation, amplification factor, control laws.
Development of Instrumentation and Control System Atcreep Machine Using Labview Software
2017
DEVELOPMENT OF INSTRUMENTATION AND CONTROL SYSTEM AT CREEP MACHINE USING LABVIEW SOFTWARE. Creep machine on Mechanical Test Facility Laboratory (FUM) BPFKR is an important test tool that one of its functions is to predict the remaining life a component of the installation of nuclear power plants. This estimated life expectancy can be done by studying the characteristics of the elongation properties of the component material to the pressure or load on it at high temperatures (40% of the melting point). For operating temperature determination, this is still done manually, either during calibration or at the time of setting. The integration of this temperature control system in the computerized developed control system is needed to improve the system performance. The purpose of this integration is to simplify and improve the efficiency of data acquisition and time efficiency so that further research can be more easily done. The research methodology used consists of four stages. The fir...
Advances in Control Education 1994, 1995
Design of a process control laboratory requires a detailed defmition of the purpose and fonn of laboratory process equipment, the structure of the control system and the system of flexible signal connections. This paper describes the main purposes of process control laboratory. the essential criteria which have influenced the choice of laboratory process equipment, the design of laboratory process control system and the guidelines for designing the signal connections between the laboratory process equipment and its control system.
Industrial Process Management Using LabVIEW
Nowadays process management is a tedious task in the industry. We plan to propose a LabVIEW based intelligent multi parameter monitoring system designed using RS232 and Microcontroller aids in the measurement and control of various Global Parameters. For data collection in the industry is a difficult task in real time execution of events with industrial process control and automation. We proposed two slaves for measuring various industrial parameters to monitor and control industrial process. Data acquired from each slave is processed and sent to Master that compile data received from different slaves and send this information to the system configured with LabVIEW platform. This enables us to view and track the online changes encountered in the particular parameter of all the parameters. One of the main advantages of this proposal is, it allows us to view all the parameter readings simultaneously on the front panel in LabVIEW. The Graph drawn on the front panel keeps on tracking the changes on the parameter. The parameters supported by this project includes: current, voltage, temperature, frequency, light intensity, logic switches, water level identifier, and alarm. This Project can be implemented in any of the process industries where there is a need for Simultaneous and fast acquiring of data and control.