Speed Regulation Of Induction Motor Research Articles

Neural network based variable DC-link voltage control of electric vehicle driveline

ABSTRACT The variable DC link direct torque control (DTC) for induction motors was proposed in this paper utilizing an artificial neural network (ANN). Variable DC-link voltage is utilized as the inverter’s controlling input to improve the induction motor’s performance. By injecting the dynamically variable dc-link voltage, inverter switching losses are decreased and inverter efficiency is increased. Two significant limitations are the torque ripple in DTC and the speed regulation of induction motors at low speeds. The driveline of an electric vehicle is modeled, and the suggested control is put into practice to enhance low-speed speed regulation, high dynamic performance, and minimal torque ripple. With variable DC-link voltage based on ANN, an improvement in torque and speed is made possible. Additionally, the suggested strategy minimizes the current ripples. To verify the improved efficacy of the electric driveline under various operating scenarios, a proposed control of the electric driveline is implemented using MATLAB SIMULINK, and the results are compared with the conventional scheme. The recommended speeds for the three speed ranges are as follows: 300 rpm for low speed, 900 rpm for medium speed, and 1275 rpm for high speed. The torque ripples decreased from 0.39 to 0.24 in the low-speed region, 0.38 to 0.24 in the medium-speed region, and 0.36 to 0.24 in the high-speed region while the motor was operated at a constant load torque of 2 N-m. The torque ripples decreased from 0.4 to 0.274 in the low speed region, 0.4 to 0.274 in the medium speed zone, and 0.2 to 0.274 in the medium speed region when the motor operated at various speed regions with a constant load. The main effect of running the motor at different load torques, such as 1.5 N-m, 2.5 N-m, and 2.0 N-m, is shown in Table 9 and numerical data of torque ripples is presented in Table 9.

Effectiveness of Field Oriented Control and Direct Torque Control Methods for Induction Motor Speed Regulation

Induction motors are used extensively in many sectors, including manufacturing, power generation, healthcare, and transportation. Robust speed regulation of inductor motors is a key requirement for ensuring their intended usage and increasing their effectiveness. This study analyzes two advanced and popular methods for regulating the torque and speed of induction motors, namely, field-oriented control (FOC) and direct torque control (DTC). Detailed mathematical modeling of both methods is described, providing the in-depth perspective of the control algorithms and problem variables. This is followed by a thorough analysis of the performance of the control methods. Different control scenarios have been analyzed using simulation with MATLAB Simulink under different speed and loading conditions. The outcomes show that FOC provides better performance in terms of reduced torque jitter, smooth torque, and speed tracking response for highly variable load and reference speed profiles. Further, the FOC is found to generate better current waveforms. This leads to improving the power factor, decreasing electrical noise, and enhancing the motor performance. Meanwhile, the DTC demonstrates a strong capability to handle large speed changes and provide faster torque response, but it suffers from considerable torque variation. The simulation outcomes also suggest that the method selected to tune PI controllers is effective. The findings contribute to enhancing the efficient operation of induction motors and fostering their applications in diverse sectors for improved productivity and service, and superior economic gain.

PENGATURAN KECEPATAN MOTOR INDUKSI 3 FASA MENGGUNAKAN MULTILEVEL INVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

Indonesia is one of the developing countries in the industrial sector. Many industrial equipment that utilizes an electric motor to run the system. In running the system using an electric motor, it is necessary to adjust the speed of the electric motor as needed. The 3-phase induction motor is one type of electric motor that has a strong, inexpensive, and high-efficiency construction, so it is often used in industry. However, setting the speed and torque of an induction motor is not easy to do. Setting the frequency of the induction motor voltage can be done using an inverter, therefore a single phase inverter can be used to adjust the speed of a three phase induction motor. In regulating the speed of the induction motor, a control is needed to keep the speed constant as needed. In this study, a 3-phase induction motor speed regulation system was simulated using an inverter controlled by a Fuzzy Logic Controller (FLC). Based on the research that has been done, it can be seen that the Fuzzy Logic Controller (FLC) is able to regulate the speed of a 3-phase induction motor with an error of 0.25%

Parameter Tuning of Sliding Mode Speed Controller of Induction Motor Drive Using Teaching-Learning Based Optimization Algorithm

The optimal settings of the Sliding Mode Controller for three-phase Induction Motor speed regulation are proposed in this paper using a Teaching-Learning Based Optimization Algorithm. It is a straightforward metaheuristic algorithm that simulates the teaching-learning processes in a classroom. Indirect Field Oriented Control is used in this induction motor drive, which allows the motor torque and the flux to be separated, similar to a DC motor. The inner loop uses proportional-integral current controllers, whereas the outside loop uses a sliding mode speed controller. In this paper, the sliding mode controller uses a tanh function as a switching function. Integral Time Absolute Error and Zwe-Lee Gaing's parameters are used as objective functions for tuning sliding mode controller settings. Performances of the proposed scheme in terms of the transient response analysis are compared with the swarm intelligence-based algorithms, namely the modified Particle Swarm Optimization and Grey Wolf Optimization. MATLAB/ SIMULINK software is used to build the three algorithms and sliding mode controller-based induction motor drive models, which are then analysed using simulation experiments. In comparison to the modified Particle Swarm Optimization and the Grey Wolf Optimization algorithms, Teaching-Learning Based Optimization yields the lowest value of the objective function Zwe-Lee Gaing's parameter and it converges quickly.

Robust Speed Regulation of Induction Motor Subjected to Unknown Load Torque

Induction motors are still the most used in industrial applications due to the simplicity of installation and low maintenance cost, especially for the squirrel cage type. The significant development in power electronics in terms of high-speed technologies in power electronic switches, their availability in high ratings, and the considerable decrease in the cost of the power electronics components supports this increase in uses. However, changing the induction motor's speed with loading, load torque measurement devices, and speed sensors limit this increase in using such motors. This paper proposes a state feedback controller-based backstepping technique for robust speed regulators of induction motor loaded without measuring the load torque. Designing such a controller (state feedback controller) needs to know the value of the load torque, and hence torque values ​​are assumed to start the design process. A state observer as output feedback is integrated into the speed controller proposed in this paper instead of load torque measurement. To asset the proposed controller's capability to keep the induction motor speed at the desired value, the global stability is investigated using Lyapunov direct theorem. The simulation results show that the proposed method's effectiveness in keeping the motor speed at the desired value without load torque measurement.

Perancangan VFD Motor Induksi 1 Phase Untuk Pengaturan Awal Kecepatan Mobil Listrik

Variable speed drives and the importance of controlling the speed of existing motors have attracted much attention with the advent of new electrical devices and magnetic materials. This paper is a comprehensive review of the application of VFD in energy saving electric motors. The aim is to identify energy saving opportunities and apply variable speed drives to existing electric motor applications. In this paper the authors hope to provide useful information for future variable speed drive applications such as fans, pumps, coolers, ventilators and as electric car propulsion. In this study, a series of frequency changes has been tested as an induction motor speed regulation (VFD), which in the results of this frequency change research can regulate the speed of the induction motor. In this study, the frequency change is still regulated analogously by changing the resistor size on the PWM signal generator IC for the MOSFET driver. For that the next research is expected to change the frequency can be done digitally

Analysis of 3 Phase Induction Motor Speed Control with Direct Torque Control (DTC) Method Based on PID Control

This research was conducted to regulate the three phase induction motor speed regulation system. Changes in load on the motor affect the motor speed response so it does not match the set point speed. This study uses the Direct Torque Control (DTC) method in regulating the speed of an induction motor. The DTC method is a vector control method that is directly assigned to the inverter. DTC method in controlling speed based on Proportional Integral Differential (PID) control. Determination of PID tunning using two methods, namely, ziegler-nichols and cohen-coon method. The ziegler-nichols method have overshoot speeds starting at 0.8% of the setpoint, whereas using the cohen coon method there is no overshoot and the speed at stable conditions matches the setpoint.

Speed Control Strategy for Three Phase Induction Machine Fed Inverter Base on Carrier Base Pulse Width Modulation (CBPWM)

Abstract— An induction motors (IM) in many industries is used because it has several advantages, such as a very simple and strong construction, the price is relatively cheap, has good efficiency, power factor is quite good, and maintenance is easier. Besides the advantages of induction motors also have disadvantages, one disadvantage of induction motors is not being able to maintain a constant speed when there is a change in load. If the load changes, the speed of the induction motor will decrease. One method of regulating the speed of an induction motor presented in this study is the regulation of an induction motor using a carrier based PWM (CBPWM) inverter with the field oriented control (FOC) technique. The estimation of rotor rotation, torque and flux is done by carrier- based PWM technique which is given input voltage and stator current. To achieve the desired flux and torque, estimation is used as feedback in the control system. In this study, it will be simulated the induction motor speed regulation with a carrier base-based inverter using Matlab. The results obtained through simulation show the length of time to reach the reference speed for speeds of 1500 rpm and 1450 rpm is around 0.45 seconds. And THD average 2,675%.

Sistem Monitoring dan Kontrol Motor AC Berbasis SCADA

The SCADA-based AC motor monitoring and control system is a three-phase induction motor monitoring and control system. Motor speed regulation feedback is obtained from the tacho generator which is connected to the pulleys. The SCADA program manages inverter and microcontroller communications so that the process of monitoring the speed of an induction motor is done through a computer. Induction motor speed regulation using VSD as an inverter functions to adjust the source frequency so that the motor speed can be adjusted. Communication between VSD, PLC and SCADA uses the MODBUS protocol to monitor the performance of the induction motor. The main equipment uses ATV12HU22M3 inverter and CQM1H PLC. The CX-Programmer and CIMON software function to manage and monitor in real time the system. The results of the induction motor settings can be adjusted with VSD speeds ranging from 0-50 Hz. PLC as master control and SCADA function as distance controller.

Speed Regulation of Induction Motor By Intelligent Controllers

Speed Regulation of Induction Motor By Intelligent Controllers

Single Phase Induction Motor Speed Regulation Using a PID Controller for Rotary Forcespinning Apparatus

Rotary forcespinning (RFS) is a simple method of fabricating fibers with a high production rate and low production cost. It can modify fibers morphology by varying polymer concentration, the solution flow rate, and the speed of induction motor. The change in the motor speed affects fibers diameter distribution. Therefore, it is necessary to implement a PID (proportional-integral-derivative) controller to maintain the stability of the speed during fibers production. A dimmer circuit to control the AC voltage supplied to the induction motor and a rotary encoder with a signal conditioner to measure the motor speed were used to regulate the motor speed. By applying the second Ziegler-Nichols tuning method, the PID controller constants, which are Kp, Ti, and Td, were obtained; Their values were 0.001242, 5, and 1.25, respectively. From the control system responses for the set points in the range of 16,000 to 28,000 rpm, it was shown that the control system has a fast response. In addition, a maximum overshoot of 345 rpm at the set point of 24,000 rpm and a maximum steady-state error of 335 rpm at the set point of 28,000 rpm were also obtained by the control system. Under a disturbance of 5 s given to the control system, the speed could be restored back to its original state within 34 s. Therefore, the speed regulation system was regarded as a good control system.

Fast Response Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-Backstepping

Induction Motor in Electrical drive system at a accelleration speed for example in electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system performance in control motor speed and torque at low speed or fast speed response, which is operated by Indirect Field Oriented Control (IFOC). Speed control on IFOC methods should be better to improving the performance of rapid response in the induction motor. In this paper presented a method of incorporation of Fuzzy Logic Controller and Backstepping (Fuzzy-Backstepping) to improve the dynamically response speed and torque in Induction Motor on electric car, so we get smoothness at any speed change and braking as well as maximum torque of induction motor. Test results showed that Fuzzy-Backstepping can increase the response to changes speed in electric car. System testing is done with variations of the reference point setting speed control system, the simulation results of the research showed that the IFOC method is not perfect in terms of induction motor speed regulation if it’s not use speed control. Fuzzy-Backstepping control is needed which can improve the response of output, so that the induction motor has a good performance, small oscillations when start working up to speed reference.Keywords: Fuzzy-Backstepping, IFOC, induction motor

Speed regulation of induction motors with wound rotor

The regulation of speed is required in many applications of induction motors, including in electric locomotives and electric driving vehicles. In this paper the speed control problem for a wound rotor induction motor is considered. The speed is controlled by changing the external resistance in the rotor circuit. It is assumed that induction motors operate under constant load conditions during changes of the external resistance. A mathematical model of the induction motor with wound rotor proposed in this paper has periodical solutions. In such model the complex effects, which can‘t be found numerically, may appear such as hidden oscillations (see, e.g., [J. de Bruin et al., 2009; M.A. Kiseleva et al., 2012]). Using the non-local reduction method the system of induction motors is studied and analytical estimations of speed control range are obtained. Analytical results are compared with computer experiments.

Induction Motor Direct Torque Control with Fuzzy Logic Method

In this article we present the simulation results of induction motor speed regulation by direct torque control with a classic PI regulator. The MATLAB Simulink programming environment is used as a simulation tool. The results obtained, using a fuzzy logic, shows the importance of this method in the improvement of the performance of such regulation.

A sliding mode observer for sensorless induction motor speed regulation

A novel sliding mode observer for current-based sensorless speed control of induction motors is presented in this article. The control objective is to guarantee asymptotic tracking of prespecified references for speed and rotor flux magnitude, without sensors measuring the mechanical speed and the flux, and assuming to have some kind of uncertainties on the value of the rotor resistance. To this end, the proposed observer is designed by coupling a second-order sliding mode observer of the stator current with a nonlinear flux and speed observer, adaptive with respect to the rotor resistance. Estimation of unknown inputs is based on a different and original approach with respect to the widely used equivalent control-based techniques. As for the control aspects, in the present proposal, the problem of chattering, typical of sliding mode controllers, is made less critical since the derivative of the stator currents are used as discontinuous forcing actions, while the actual control signals are continuous, thus limiting the mechanical stress.

Exponentially stable non-linear control for speed regulation of induction motor with field-oriented PI-controller

On the basis of a novel dynamic model obtained under a special non-linear co-ordinate transform on a d–q-axis model (w.r.t. the stationary reference frame) of an induction motor, a simple but effective control law for speed regulation is proposed in this paper. This controller is designed using the concept of the field orientation and the property of linear PI-controller, and is shown to be robust with respect to variation of system parameters and load structure. To be rigorous, a Lyapunov theorem with a simple iterative criterion derived in this paper proves the local exponential stability of the system around any desired speed. Numerical simulations are also given to show the effectiveness of the presented control law. Copyright © 2000 John Wiley & Sons, Ltd.

Torque and speed regulation of induction motors using the passivity theory approach

This paper deals with the passivity-based control of induction motors. This nonlinear control method is considered here mainly from the experimental point of view. Two different configurations have been considered: a current-regulated pulsewidth modulation inverter with hysteresis controllers and a space-vector-modulated voltage-source inverter. Experimental results show that both schemes give precise, fast, and robust torque and speed tracking in the full speed range. The first configuration is more attractive due to its better transient response and reduced complexity.

Speed regulation of induction motors

Speed regulation of induction motors