DSP based space vector PWM control for solar electric vehicle

A review of the sinusoidal pulse-width-modulation (SPWM) and the space vector PWM (SVPWM) techniques for AC motor drives is reported, taking into account secondary effects such as the digital quantization, the dead time, and the dwell time. Simulation results show close agreement with the measured harmonics caused by an experimental digital-signal-processor (DSP)-controlled inverter operating in the same conditions. The SPWM waveforms have cleaner spectra than the SVPWM, but the quality factors are higher with respect to the SVPWM, having the same peak value of the voltage reference. As a consequence, if the switching frequency is high enough, the losses due to the harmonics can be almost neglected, and the SVPWM seems to be the best solution in terms of output voltage, harmonic losses, and number of switchings per cycle.

This paper is to present a new space vector pulse width modulation (PWM) algorithm for four switch three phase inverter (FSTPI) fed induction motor under DC-link voltage imbalance. By using reasonable mathematical transform, space vector PWM (SVPWM) technique for FSTPI under DC-link voltage imbalance or ripples have been solved, which is based on the establishment of basic space vectors and modulation technique in similarity with six-switch three-phase inverters. This approach has a very important sense to solve hard problems for FSTPI under DC-link voltage imbalance, for example ensuring the required voltage for undermodulation mode and overmodulation mode 1 and 2, extended to six-step mode. Matlab/Simulink is used for the simulation of the proposed SVPWM algorithm for undermodulation, overmodulation mode 1 and 2. This SVPWM approach is also validated experimentally using DSP TMS320LF2407a in FSTPI-IM system.

Nowadays three phase induction motor is more and more common in used for high power applications due to its rugged nature and flexible operating characteristics. Eccentricity is one of the most important and severe fault that occurs frequently in induction motor. It is due to misalignment of shaft or due to friction between shaft and rotor. So detection and analysis of eccentricity is crucial in industrial application to avoid production loss. This paper investigate how induction motor is modelled using MagNet for the analysis with eccentricity fault. Static 2D and transient 2D analysis were done for healthy and faulty conditions. Comparison are made between faulty and healthy conditions for the parameters like flux linkage, flux density, stator current, torque and energy.

The Variable Frequency Drives (VFD) are a common type of controlling the speed of 3-phase induction motors which are based on two control modulation techniques of Voltage Source Inverter: Sinusoidal Pulse Width Modulation (SPWM) and Space Vector Pulse Width Modulation (SV-PWM). The SPWM control technique is known as an easier implementation, but the SV-PWM control technique can be distinguished by an easier digital realization and a better utilization of DC bus. All 3-phase PWM inverters produce a total harmonic distortion (THD) on its output, which causes electromechanical and thermal stresses. The aim of this paper is comparing the low order current harmonics while driving an unbalanced 3-phase induction motor (the case of deterioration of the insulation as a result of inter-turn short circuits between few turns of the same phase) using SPWM and SV-PWM two-level 3-phase Voltage Source Inverters (VSI). For this type of unbalanced 3-phase induction motor, the SVPWM and SV-PWM schemes are modeled and simulated using Matlab/Simulink software. A detailed comparative analysis of THD-phase currents is made for both modulation strategies at different switching frequencies while keeping the constant amplitude modulation index.

This paper presents a phase to ground leakage current in 3-phase induction motor caused by switching voltage source. The phase to ground leakage current of induction motor is effected by impedance of motor insulator which varied with switching frequency from voltage source. So various testing voltage sources included variable frequency square wave, variable frequency sine wave and dc source are supplied to induction motor in order to find out the impedance of motor insulator. Finally, test results of 1hp, 3hp and 5hp induction motors are shown and carried out to evaluate the phase to ground insulation motor impedance model.

This paper presents a simple and novel generalized pulse width modulation (GPWM) algorithm for voltage source inverter fed induction motor drives. The classical space vector approach requires angle and sector information for the calculation of switching times, which increases the complexity of the PWM algorithm. Hence, to reduce the complexity, the proposed GPWM algorithm generates the modulating signals by using the instantaneous phase voltages only. In the proposed algorithm, a unique zero sequence signal is added to the instantaneous phase voltages in order to generate the modulating waveforms. By varying a constant in the zero sequence signal from 0 to 1, various PWM algorithms such as space vector PWM (SVPWM) and discontinuous PWM (DPWM) algorithms are generated. Moreover, a simple overmodulation algorithm is also presented in this paper. Thus, the proposed GPWM algorithm generates all possible PWM algorithms in the entire modulation region. To validate the proposed algorithm, several simulation and experimental results are presented and compared. The results show the best agreement with the published work.

This paper presents a random forest (RF) regression based implementation of space vector pulse width modulation (SVPWM) for a two-level inverter to improve the performance of the three-phase induction motor (TIM) drive. The RF scheme offers the advantage of rapid implementation and improved prediction for the SVPWM algorithm to improve the performance of a conventional space vector modulation scheme. In order to show the superiority of the proposed RF technique to other techniques, an adaptive neuro fuzzy inference system (ANFIS) and artificial neural network (ANN) based SVPWM schemes are also used and compared. The proposed speed controller uses a backtracking search algorithm to search for the best values for the proportional-integral controller parameters. The robustness of the RF-based SVPWM is found superior to the ANFIS and ANN controllers in all tested cases in terms of damping capability, settling time, steady-state error, and transient response under different operating conditions. The prototype of the optimal RF-based SVPWM inverter controller of induction motor drive is fabricated and tested. Several experimental results show that there is a good agreement of the speed response and stator current with the simulation results which are verified and validated the performance of the proposed RF-based SVPWM inverter controller.

Multi-phase induction motor drives are being considered for various high power applications because of their superiority over three-phase counterparts. Space vector pulse width modulation (SVPWM) schemes can be utilized to improve output voltage spectrum of the inverter thus reducing stator harmonic currents and torque pulsation. Different SVPWM techniques are analyzed for a dual three-phase induction motor (DTIM) supplied from two three-phase inverters. Harmonic component in the phase current and phase voltage is analyzed for four different SVPWM schemes. A detailed modeling of DTIM along with SVPWM strategies are is presented in the paper. Simulation results are provided to verify the analysis proposed.

Electric drive on an electric bike, consist of electric motor, power converter and electronic controller. These are the mover of electric vehicle system. This paper discussed the three-phase inverter with Space Vector Pulse Width Modulation (SVPWM) method as a three-phase induction motor drive in electric bike application. The discussed that are modeled by using MATLAB/SIMULINK. The purpose of this paper is to get the analysis of the three-phase inverter SVPWM as a three-phase induction motor drive with specification 500 W, 50 V, 50 Hz and 8 poles. Converter using a battery with a voltage 48 V. Before the battery voltage is converted by an inverter, battery voltage was increased through a boost converter up to 70.62 V. Through simulation with MATLAB software was obtained curve of sinusoidal voltage, current, and speed of the motor by SVPWM controlled system. In this paper also tested against changes in the value of the fundamental frequency inverter. Test results show that the inverter can be set the speed of the motor at a frequency of 20 Hz to 50 Hz. Electric drive on an electric bikes, consist of electric motor, power converter and electronic controller. These are the mover of electric vehicle systems. This paper discussed the three-phase induction motor supplied by Space Vector Pulse Width Modulation (SVPWM) inverter. They discussed that are modeled by using MATLAB/SIMULINK. The purpose of this paper is to get the analysis of the three-phase inverter SVPWM as a three-phase induction motor drive with specification 500 W, 50 V, 50 Hz and 8 poles. Converter using a battery with a voltage 48 V .

The ever increasing applications of 3phase Induction motor have resulted in a growing awareness on addressing various performance demands. The condition monitoring of these electrical machines has received considerable attention in recent years. The diagnostics based on vibrations produced by these motors can form valuable data for preventive maintenance of these machines. The vibration analysis demands appropriate vibration transducer. With the advent of MEMS [Micro Electro Mechanical Systems], Technology I.C. chip mounted accelerometers are available. These accelerometers are having merits of low cost, high reliability, and low power consumption when compared to piezoelectric types which are conventionally used earlier. These accelerometers are gaining wide acceptance in condition monitoring of electrical machines. This paper presents the instrumentation developed around MEMS accelerometer and also proposes a technique of detecting abnormal electrical operating conditions in 3phase Induction motor such as single phasing, voltage unbalance by employing spectrum analysis of vibrations measured through MEMS accelerometer.

The Space Vector Pulse Width Modulation (SVPWM) is possibly the best among all the PWM techniques for variable frequency drive applications. Unfortunately, the modulation algorithm is mainly implemented with software based on microcontroller or digital signal processors (DSP). These are software-based technique purely and obviously not an ideal solution. Employing Field Programmable Gate Array (FPGA) to realize SVPWM strategies provides advantages that it is considered as an appropriate solution to boost system performance of an SVPWM algorithm. Moreover, although in the literatures the implementation for three-phase SVPWM based on FPGA is not lacking, however all these designs are based on the conventional SVPWM without considering hardware-resource saving and not simple. This paper present a simple realization of 5-segment discontinuous SVPWM with a difference approach based on FPGA, in which the judging of sectors and the calculation of the firing time to generate the SVPWM waveform is simple, and also the switching losses is low. The proposed discontinuous SVPWM has been designed and successfully implemented by using APEX20KE Altera FPGA considering hardware-resource saving and has successfully driven a three phase inverter system with induction machine 1.5 kW as load.

Space Vector Pulse Width Modulation (SVPWM), one of the advanced computation based PWM techniques, has many advantages over conventional carrier-based PWM methodologies. Recently, with the easy availability of Microcontrollers and Digital Signal Processors, this technique is being widely used in industrial inverters. This paper presents a simple model for a three-phase two level SVPWM inverter using MATLAB-Simulink software. The entire model is based on only elementary Simulink blocks, and the use of advanced tool-box functions has been avoided. Hence, the model can be used, understood and modified easily as per the need of the user. The inverter has been divided into several sub-systems. Each such 'sub-system-block' is explained individually. Both linear and overmodulation- zone-controls have been included. The model operates successfully for various values of amplitude modulation index.

In this work, we present an algorithm for the space vector pulse width modulation (SVPWM) applied to five-level diode clamped inverter. In this algorithm, the space vector diagram of the five-level inverter is decomposed into six space vector diagrams of three-level inverters. In turn, each of these six space vector diagrams of three-level inverter is decomposed into six space vector diagrams of two-level inverters. This idea allows us to generalize the two-level SVPWM algorithm into the case of five-level inverter.

The current paper aims at presenting and examining an implementation on a digital signal processor (DSP) of the conventional space vector pulse width modulation (CSVPWM) so as to control the dual three phase permanent magnet synchronous motors (DTP-PMSM) drives applied on electric ship propulsion. It is also an attempt to accomplish a developed control of this technique based on vector space decomposition (VSD) strategy. By this strategy, the analysis and the control of the machine are achieved in three two-dimensional orthogonal subspaces. Among the 12 voltage vectors having maximum, the conventional technique namely the adjacent two-vectors (12SA2V) is chosen. Thereby, the test platform allows the implementation of the chosen vectors which are modeled on MATLAB/Simulink using block diagrams and the automatically generated code which is targeted in the DSP card processor. Simulation and experimental results have exposed the efficiency of the proposed test bench of 5 KW prototype machine by using a low-cost TMS32F28379D.

SVPWM control strategy for a three phase five level dual inverter fed open-end winding induction motor