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Implementation of supervisory control system for PMSM drive
Abstract
This paper presents an implementation of automation scheme for control of three phase Permanent Magnet Synchronous Motor (PMSM) drive. Performance evaluation and monitoring of drive is described using Supervisory Control and Data Acquisition (SCADA) and Programmable Logic Controller (PLC) system. The control, operation and monitoring of PMSM drive in three basic modes, i.e. position, speed and torque modes is achieved through PLC programming and SCADA. A Human Machine Interface (HMI) control is also developed for operation of drive system at field level controls. Ladder logic programs according to desired control mode of operations are developed to control and monitor the status of PMSM drive. SCADA screens have been developed to control and monitor the status of the motor and for field level control HMI touch screens are designed. The real time data related to PMSM drive such as output of position encoder, torque developed by motor, power input to motor, speed etc. are accessed for supervisory control of drive.
... The designer of these systems must weigh in the balance both the performance of the control systems studied by numerical simulations, and the cost of their real-time implementations in embedded systems. The real-time implementations of the PMSM sensorless control system are performed in Matlab/Simulink and LabVIEW programming environments [12][13][14]. ...
"This paper presents an application for real-time implementation of the Permanent Magnet Synchronous Motor (PMSM) sensorless control system and its integration into Supervisory Control And Data Acquisition (SCADA). Starting from the operating equations of the PMSM and by implementing the global Field Oriented Control (FOC) control strategy, in which the saturation of the integral component of the PI controller is prevented by using an antiwindup technique, the numerical simulations performed in Matlab/Simulink lead to good performance, which recommends the real-time implementation. For the optimal tuning of the PI speed controller of the PMSM the genetic algorithm (GA) is used. Numerical simulations are performed in order to choose the type of Digital Signal Processing (DSP) used for the real-time implementation, considering that a global criterion of successful implementation is the performance/cost ratio. Besides, the integration into SCADA provides flexibility of the control system but also the possibility of online/offline processing from the point of view of other specific requirements. Among them we mention the energy quality analysis, whose first exponent calculated also in realtime is Total Harmonic Distortion (THD). Real-time implementations are performed in Matlab/Simulink and LabVIEW programming environments. According to the trend of the last years, the use of an Internet of Things (IoT) platform for viewing the variables of the control process on the Internet plays an important role. "
... The designer of these systems must weigh in the balance both the performance of the control systems studied by numerical simulations, and the cost of their real-time implementations in embedded systems. The real-time implementations of the PMSM sensorless control system are performed in Matlab/Simulink and LabVIEW programming environments [12][13][14]. ...
This paper presents an application for real-time implementation of the Permanent Magnet Synchronous Motor (PMSM) sensorless control system and its integration into Supervisory Control And Data Acquisition (SCADA). Starting from the operating equations of the PMSM and by implementing the global Field Oriented Control (FOC) con-trol strategy, in which the saturation of the integral compo-nent of the PI controller is prevented by using an anti-windup technique, the numerical simulations performed in Matlab/Simulink lead to good performance, which recom-mends the real-time implementation. For the optimal tuning of the PI speed controller of the PMSM the genetic algo-rithm (GA) is used. Numerical simulations are performed in order to choose the type of Digital Signal Processing (DSP) used for the real-time implementation, considering that a global criterion of successful implementation is the perfor-mance/cost ratio. Besides, the integration into SCADA pro-vides flexibility of the control system but also the possibility of online/offline processing from the point of view of other specific requirements. Among them we mention the energy quality analysis, whose first exponent calculated also in real-time is Total Harmonic Distortion (THD). Real-time imple-mentations are performed in Matlab/Simulink and Lab-VIEW programming environments. According to the trend of the last years, the use of an Internet of Things (IoT) plat-form for viewing the variables of the control process on the Internet plays an important role.
... The designer of these systems must weigh in the balance both the performance of the control systems studied by numerical simulations, and the cost of their real-time implementations in embedded systems. The real-time implementations are performed in Matlab/Simulink and LabVIEW programming environments [10][11][12]. ...
... It is defined as a system that operates to monitor, control and analysis the process that generate from various remote devices [3][4][5][6][7][8]. Programmable Logic Controller (PLC) or Remote Terminal Unit (RTU) acts as data collector and relay the information to the master station for the operator to perform remote control tasks [9][10][11]. The system required monitoring data and process for further action. ...
... It is defined as a system that operates to monitor, control and analysis the process that generate from various remote devices [3][4][5][6][7][8]. Programmable Logic Controller (PLC) or Remote Terminal Unit (RTU) acts as data collector and relay the information to the master station for the operator to perform remote control tasks [9][10][11]. The system required monitoring data and process for further action. ...
This paper discusses the study on the measured harmful gases due to traffic emission in the Meru Menora Tunnel, a Malaysia highway tunnel. The hazardous gasses data would help in promoting essential ventilation system inside the tunnel for the health and safety of the users. The emission gasses concentration reading is divided into two main components comprise of Nitrogen Dioxide (NO2), and Carbon Monoxide (CO). Other than that, the visibility also been measured by using SICK sensor. The measurement has been done during normal, festive and school holiday seasons. Festive season shows the highest number of traffic and thus giving the worst air quality. Ventilation fan system can be activated based on the concentration level of gases and visibility in the tunnel.
This paper reports a state-of-the-art Supervisory Control and Data Acquisition (SCADA) Laboratory facility for power systems at Jamia Millia Islamia, New Delhi, India. It has been designed to function as a research and training center for utilities, faculty members, and students. This paper covers the design, commissioning, and functioning of the SCADA/EMS laboratory facility, based on distributed-processing technology. The SCADA laboratory will provide hands on experience to students and practicing engineers and will give them an insight into the contemporary SCADA systems. This lab is the first of its kind to be functional in India.
In this paper, a new method of controlling position of AC Servomotor using Field Programmable Gate Array (FPGA). FPGA controller is used to generate direction and the number of pulses required to rotate for a given angle. Pulses are sent as a square wave, the number of pulses determines the angle of rotation and frequency of square wave determines the speed of rotation. The proposed control scheme has been realized using XILINX FPGA SPARTAN XC3S400 and tested using MUMA012PIS model Alternating Current (AC) servomotor. Experimental results show that the position of the AC Servo motor can be controlled effectively.
Continuous monitoring and control of motors and drives have become a need of process industries, which require operation of various drives in a pre-designated sequence. The programmable logic controllers (PLCs), an intelligent device, can realise automated operation. Distributed control system has partially autonomous local computational capability, interconnected through a digital communication link and coordinated by a supervisory control and data acquisition (SCADA) system. The resulting system has the advantages of local as well as centralized control. This paper describes the methodology, implementation, operation, monitoring and control of distributed drives with PLC and SCADA system. The performance of the drives are studied and analyzed for starting and load perturbation.
Manufacturers are continuing to do their best efforts for cost effective production systems in order to contribute consumers' requirement. Such environment carries plant operations using quite flexible control systems such as PC (personal computer) - PLC (programmable logic controller) combination control systems called PC+PLC based control system. However, almost PC+PLC based control systems has been applied for small to medium scale processes which have the hundreds I/O points or less. We have jointly developed the new large-scale application systems in applying PC+PLC based control systems for beer brewing plants. Through those projects we come to the practical and effective PC+PLC based control systems' application for quite large-scale processes with enough production performance and flexible operations
This paper aims at the development of a technique for
incorporating an intelligent adaptive controller based on the self
tuning regulator (STR) technology into an existing industrial
programmable logic controllers (PLC) for a DC motor. The adaptive
controller is based on an intelligent parallel regulator and a parameter
optimization technique. The PLC used is an Allen Bradley PLC5 system.
The adaptive controller is incorporated in the overall PLC program. The
effectiveness of the proposed controller is shown by two simulation
studies on the motor under different operating modes
In this paper, we propose a robust position control scheme for AC
servo motors. We adopt a disturbance torque suppresser to eliminate the
effects of the disturbance torque and variation in moment of inertia,
thus the proposed controller has improved robustness. We can, thereby,
reduce position errors due to the disturbances. Some simulation and
experimental results are presented to demonstrate the superior position
tracking performance of the proposed controller over the conventional
proportional-integral (PI) and feedforward controller
In this paper, an accurate position control using a new estimator
which estimates the instantaneous speed and position with a low
precision shaft encoder is proposed. The overall performance of the
position control system is strongly dependent on the accuracy of the
position information and the performance of the speed controller in the
low speed range. In this paper the position and speed of the motor are
obtained from a Kalman filter which is an optimal full order estimator.
This estimator has good performance even in a very low speed range
include standstill. The simulation and experimental results confirm the
validity of the proposed estimation and control technique
The implementation of a monitoring and control system for the induction motor based on programmable logic controller (PLC) technology is described. Also, the implementation of the hardware and software for speed control and protection with the results obtained from tests on induction motor performance is provided. The PLC correlates the operational parameters to the speed requested by the user and monitors the system during normal operation and under trip conditions. Tests of the induction motor system driven by inverter and controlled by PLC prove a higher accuracy in speed regulation as compared to a conventional V/f control system. The efficiency of PLC control is increased at high speeds up to 95% of the synchronous speed. Thus, PLC proves themselves as a very versatile and effective tool in industrial control of electric drives.
VersaMotion Servo Motors and Amplfiers User's Manual, GFK-2480 December 2007 by"GE Fanuc". [II] Proficy Machine™ Edition 5.90 User's Manual
- Ge
- Fanuc
VersaMotion Servo Motors and Amplfiers User's Manual, GFK-2480 December 2007 by"GE Fanuc". [II] Proficy Machine™ Edition 5.90 User's Manual, Dec. 2007, GE Fanuc.
Implementation of Control Unit using SCADA System for Filling System
- Hla Aung Naing Myint
- Soe
- Win Khaing Theingi
- Moe
Proficy Machine™ Edition 5.90 User's Manual
- Ge Fanuc