Efficiency Optimization of Six-phase Induction Motors by Fuzzy Controller

The research purpose is to control a six phase induction machine by the combination of the concepts of predictive control and extended kalman filter at various operating conditions. Speed sensors do not have good performance at very low speed and this will cause the system to malfunction. For this reason, an extended kalman filter is used to estimate the speed of six phase induction motor. In this paper, a dual three phase induction motor is modeled and a simple predictive control is used to control the speed of the motor. Simulations have been performed for various conditions of loads and speeds and their results depict correctness and robustness operation of the whole system.

One of the peculiar studies on the induction machine is the aberrant behavior of the induction machine with stator inter turn faults. These are usually caused by short circuit of few turns on stator winding. In this paper transient model of three phase induction motor using d-q axis theory in stationary reference frame, is proposed to estimate the transient performance of the motor, with such faults. Simulation results as obtained on a test machine are compared with the experimental results and the closeness between the two shows the accuracy of the model as proposed. This paper presents simulation results of induction machine when operated with stator inter turn faults.

In this work a fuzzy inference system is employed for the control of a PWM based direct torque control (DTC), driving a dual three phase induction machine (DTPIM). DTPIM has two, three phase windings spatially phase shifted by gamma (=60deg in this research) electrical degrees. The proposed control scheme uses a Fuzzy inference system to modulate the phase of stator voltage vector applied to the DTPIM. The simulation results show that the system performances are satisfactory using the proposed method.

The unsymmetrical single/two phase induction machine is often used in low-power range and low cost electric drives. The main advantages of this machine - i.e. its uncomplicated structure, machine's direct voltage supply from a single-phase network supply, the absence of the mechanical commutator thus absence of any phase- switching noise, and the machine's low-rate of wear - are counterpoised by the low energy efficiency of this machine. A promising way to increase machine's energy efficiency is the use of an electronically switched, variable capacitance connected to the auxiliary phase of the machine. The optimal control of the electronically switched capacitance is based on the measurements of the phase voltages, phase currents and angular speed at the machine's shaft and on a dynamic model of the machine implemented on a controller. In the first part of this paper a direct- and quadrature-axis theory-based-model of the unsymmetrical two-phase induction machine is discussed. Within the second part of the paper the results of the theoretical approach are inspected and compared to measurements on a nowadays machine type.

Application of methanol and optimization of mixture design over the full operating map in an intelligent charge compression ignition (ICCI) engine

Three phase induction motors are employed in almost all the industries because of its simple construction and easy operation. Efficiency of the induction motor is affected by its fixed losses and variable losses which mainly depend on the input supply voltage and load current respectively. An attempt is made to minimize the iron losses by using the permanent magnet ferrite. A new Three Phase Induction Motor Using Written Pole Technology is proposed in this paper whose stator consists of two three phase windings accommodated in the same core and rotor is used as squirrel cage rotor with ferrite material on its periphery. Shaft loads are categorized as low, medium and high, Stator windings are energized through a controller based on the load demand. When compared to conventional induction motor, the motor efficiency and power factor are improved. Another approach of this machine is that the ferrite layer on the rotor periphery will reduce the motor losses which results in improving the motor efficiency. In this motor, one windings (main winding) is designed for the 238 volt ac voltage while the second winding (exciter winding) is designed for 8 volt high frequency ac voltage. Experimental result ensures the considerable increase in the efficiency and power factor.

<span lang="EN-US">The electrical energy is necessary for daily life, but there is a continuous increase in the usage rate of electric energy. Such an increase is a big problem, which makes us think about using alternative energy for conventional energy, in addition to the problem of pollution resulting from the use of energy generation. Solar energy is a solution for energy in terms of consumption, besides there is no environmental risk in the use of solar energy. In this work, an integrated solar system operating in the daytime has been designed to operate a 3-phase induction motor (IM). The study begins by simulating the system in the MATLAB/Simulink program in order to find out the results and verify them using the same components of the proposed algorithm. The system with photovoltaic (PV) modules 1080 W, whereas the PV array is a direct source of the designed split source inverter (SSI). This SSI is controlled by sine pulse width modulation (SPWM). The maximum power point tracking (MPPT) incremental conductance (INC) method is monitored by a computer connected to the system via a Wi-Fi connection, the 3-phase IM (373) W. The results reveal the efficiency of the system and that it can be versatile.</span>

Three phase induction machines are widely used in the industry due to their low cost and ease of maintenance, however, their lagging power factor is an inherent disadvantage which is compensated by use of various methods. Variable frequency drives for induction motors offer a mechanism for both power factor correction and efficient control but requires an internal energy buffering for reactive power at line frequency. Our paper introduces a way of synchronizing the operation of multiple induction motors in an organization through networked VFDs driven either through a common DC bus or directly from the AC mains to improve the power factor without the need of energy buffering or use of external capacitor banks. The processed power supplied to the machines through VFDs is phase shifted in voltage to create a time delay in requirement of reactive power allowing the operation of selected induction machines in leading power factor mode. This paper presents the analysis, simulations and experimental validation through results in the lab by implementing two custom 3-phase induction motor drives and their synchronous operation from a common DC bus. The obtained results validate that this approach can be applied to larger networks of induction motors in a larger industrial setup.

Three phase induction motors are employed in Textile mills, Agriculture and in almost all the machine tools. More than 60% of electrical energy generated being consumed by the induction motors. Hence, even a small contribution in the improvement of the power factor and efficiency will be cost effective. The power factor and efficiency of an induction motor is based on the shaft load and in order to improve the same, multi windings are suggested in the same stator. In multi winding induction machines, when one set of windings is connected to a three phase a supply, a revolving magnetic field of constant magnitude is developed in the air gap which is responsible to work as a conventional induction motor to meet the mechanical load and to develop a three phase EMF in the other winding that works as an Induction Alternator (IA).Double Winding Induction Motor (DWIM) also provides an opportunity to load each winding individually to its rated capacity. A small three phase load or a single phase load may be connected to the second set of winding. The dependency of separate supply for this load is eliminated. Hence, improvement in the efficiency, power factor and energy conservation is made possible in these machines. In order to validate the problem statement, a 3-phase, 3.0 kW, 415 V Double Winding Induction Motor(DWIM), a 3-phase, 3.0 kW, 415 V Double Winding Synchronous Reluctance Motor (DWSyRM), a 3-phase, 2.2 kW, 415 V Three Winding Induction Motor (TWIM) have been designed, fabricated and tested. Two controllers have been designed, one for a DWIM to operate the motor in power balancing and maximum efficiency modes of operation and other to operate TWIM at three different voltage levels depending upon the shaft load. In this paper, detailed comparisons of performances of three multi winding machines are presented.

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

This paper deals about fuzzy logic control of closed loop controlled five level Multi Level Inverter (MLI) driven three phase induction motor. Three phase Induction motor is most widely used drive in Industries, so needs proper control of speed. Induction motor is fed from five level multilevel inverter which is controlled by fuzzy logic. The closed loop consists of two loops. First inner loop is current loop and second outer loop is speed loop. The torque is varied at different times and corresponding change in speed and Total Harmonic Distortion (THD) is observed. The MLI is controlled by Sinusoidal Pulse Width Modulation (SPWM) Technique. DOI: http://dx.doi.org/10.11591/ijpeds.v3i2.3062

Five phase Induction Motor drive may be more suited as the electrical drive for propulsion and other emergency condition where safety and reliability are the most important criteria for choosing a drive. In this article five phase induction machine fed by SPWM inverter is modeled and simulated in MATLAB/Simulink environment. SPWM (Sinusoidal Pulse Width Modulation) based inverter technique is used here to generate any number of phase voltage with proper firing angle. By using reference frame theory and the mmf (magnetomotive force) model of induction machine, both three phase and five phase induction motor is analyzed with respect to different parameters.

A system has built to monitor conditions of a 3-phase Induction motor. The purpose of the system is to detect fault when the Induction motor is being operated. To build a fault detection system various methods have been used in this work. A prototype setup has built to test and evaluate the results of the developed system. The first method used to develop the system was through current monitoring where sensors used to monitor the current drawn by the 3-phase Induction Motor while operating on non-faulty and faulty conditions. Vibration sensor was used to monitor vibrations from rotating shaft on no-fault and fault conditions and Vibration Energy Harvester setup was made and equipped with the system. Vibration Energy Harvester (VEH) was acquiring vibration from the rotating shaft to generate signals to feed into the system. Results were obtained from the methods used to monitor the 3-phase Induction Motor during both no fault and fault conditions. Appropriate threshold values set to all methods used to monitor condition of the 3-hase induction motor. The results obtained shows that all three methods can be used to monitor condition of 3 -phase induction motor but the stability and reliability of the results obtained differs from one another.

Learning Vector Quantization Neural Network Based External Fault Diagnosis Model for Three Phase Induction Motor Using Current Signature Analysis

Induction motor is the most motor applicable in the world. especially three phase induction motor. Furthermore 95% of induction motor are used as propulsion in industry. However, maintenance costs are large enough more than 50% of operating costs of the industry or the factory. To reduce these costs is to detect early faults in induction motors. One way to detect initial faults is to measure and analyze the temperature of the induction motor. In this research, the authors design temperature monitoring of a three-phase induction motor using the internet of things to make it easier for users to monitor the temperature of an existing three-phase induction motor and to schedule maintenance if temperature reach the operating limit. The field system elements consist of SoC ESP32 to collect data from 2D temperature, to drive lead screw and to send data to cloud. The SoC ESP 32 is connected to the AMG8833 temperature sensor array which collect the frame of temperature of a three-phase induction motor in the form of an 8x8 array. In addition, the SoC ESP32 is also connected to the motor driver L293D to regulate the movement of geared DC motor. Geared DC motor is used to drive the lead screw which already has a mount for placing the AMG8833. From the test on 18.5 kW, 360V induction motor installed in chemical industry, it is obtained the sensor can measure temperature accurately and it travel smoothly above frame. In the storage using MongoDB database, the data transmission fulfilled the QoS requirement.