Automatic Code Generation and Experimental Validation for DSP-BLDC Motor Based on MBD

The digital signal processing (DSP) processor-in-the-loop tests based on automatic code generation technology are studied. Firstly, the idea of model-based design is introduced, and the principle and method of embedded code automatic generation technology are analyzed by taking the automatic code generation of the DSP control algorithm for pulse width modulation (PWM) output as an example. Then, the control system model is established on MATLAB/Simulink. After verifying the model through simulation, the target board platform is established with DSP as the core processor, and the automatically generated code is tested by the processor-in-the-loop (PIL). The results show that the technology greatly shortens the development cycle of the project, improves the robustness and consistency of the control code, and can be widely used in the complex algorithm development process of the controller, from intelligent design and modeling to implementation.

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.

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.

Solar Electric Vehicles (SEV) are considered the future vehicles to solve the issues of air pollution, global warming, and the rapid decreases of the petroleum resources facing the current transportation technology. However, SEV are still facing important technical obstacles to overcome. They include batteries energy storage capacity, charging times, efficiency of the solar panels and electrical propulsion systems. Solving any of those problems and electric vehicles will compete-complement the internal combustion engines vehicles. In the present work, we propose an electrical propulsion system based on three phase induction motor in order to obtain the desired speed and torque with less power loss. Because of the need to lightweight nature, small volume, low cost, less maintenance and high efficiency system, a three phase squirrel cage induction motor (IM) is selected in the electrical propulsion system. The IM is fed from three phase inverter operated by a constant V/F control method and Space Vector Pulse Width Modulation (SVPWM) algorithm. The proposed control strategy has been implemented on the texas instruments TM320F2812 Digital Signal Processor (DSP) to generate SVPWM signal needed to trigger the gates of IGBT based inverter. The inverter used in this work is a three phase inverter IRAMY20UP60B type. The experimental results show the ability of the proposed control strategy to generate a three-phase sine wave signal with desired frequency. The proposed control strategy is experimented on a locally manufactured EV prototype. The results show that the EV prototype can be propelled to speed up to 60km/h under different road conditions.

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

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.

A modified space vector pulse width modulation (SVPWM) strategy based on vector space decomposition and its equivalent dual three-phase SVPWM realization are proposed in this paper, which is suitable for two-level six-phase voltage inverter fed asymmetrical dual stator induction machines (DSIMs). The DSIM is composed of two sets of symmetrical three-phase stator windings spatially shifted by 30 electrical degrees. The proposed SVPWM technique can reduce the torque ripple and suppress the harmonic currents flowing in stator windings. Above all, the equivalent relationship between the proposed SVPWM technique and the dual three-phase SVPWM technique has been demonstrated, which allows easy implementation for digital signal processor (DSP). Simulation and experimental results, carried out separately on a simulation system and a 3.0 kW DSIM prototype test bench, are presented and discussed.

This study presents a space vector pulse width modulation (PWM) method for a multilevel single-phase decentralized power converter (DPC) called MSPDPC. The proposed model is built by connecting half-bridge cells in series. The output voltage can be adjusted according to demand by adding or subtracting cells. Cells use communication protocols to transmit and receive information with two neighboring cells. The received data contains information for the decentralized space vector pulse width modulation (DSVPWM) method proposed in this paper. In the proposed DSVPWM method, cells set up links to exchange information such as cell position, total cells in a phase, reference voltage amplitude, and reference frequency. The PWM control signals of each cell are calculated based on the information received. The study also focuses on evaluating the ability to adjust the switching vector and the corresponding dwell time of the cells when the structure of the DPC changes. The ability to dynamically reconfigure the DPC is a crucial feature that ensures uninterrupted power supply in case of one or several cell failures. The system automatically establishes a new state with the active cells. The proposed configuration and communication method between cells provide very fast configuration times. The load voltage of the DPC is adjusted to 0.5 times the voltage per cell, which allows the modulation voltage amplitude to be adjusted best according to the load requirements. The study used Matlab/Simulink software to review the initial assessments. The proposed model and algorithms will be verified on the Digital Signal Processor (DSP) platform with a 220V/500W 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.

Field programmable gate array (PFGA) has advantages of parallel processing, fast operation, and high reliability. Therefore, it has broad application prospects in high-performance servo drives. As an indispensable operation in the space vector pulse width modulation (SVPWM) algorithm for permanent magnet synchronous motor (PMSM), division is the most complex among the four operations. When implemented in FPGA, it will consume the most logic resources and generate the longest latency. According to the characteristics of the division algorithm in SVPWM, this paper proposes an improved design method for the universal divider. Through the improvement of the division design, less resource consumption and shorter latency are realized.

This paper presents a control for a three-phase an eleven-level cascaded H-bridge inverter for photovoltaic (PV) system. The maximum power point tracking (MPPT) is capable of extracting maximum power from the PV array connected to each DC link voltage level. The MPPT algorithm is solved by fuzzy logic controller. Space vector pulse width modulation (SVPWM) algorithm uses a simple mapping to generate gate signals for the inverter. This is done to achieve high dynamic performance with low total harmonic distortion (THD). The validity of the system is verified through MATLAB/Simulink and results are compared with three-phase three-level, five-level, seven-level and nine-level cascaded H-bridge inverter for PV system in terms of THD. Finally, simulation results are presented to verify the effectiveness and accuracy of the proposed system.

Based on the equation of small pure electric vehicle (PEV) and the mathematic model of permanent magnet synchronous motor (PMSM), synchronous motor (PMSM), the dynamic model is presented for small PEV driven by PMSM. With space vector pulse width modulation (SVPWM) algorithm, a velocity and current double closed-loop simu- lation model of PMSM control system is build in Matlab7.6/Simulink environment. Simulation results show that: the sys- tem has the advantages of fast response, high precision, strong anti-interference ability, and this novel method offers a new thought way for designing and debugging driving system of PEV.

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 .

This paper develops a neural network (NN) vector controller for an interior mounted permanent magnet (IPM) motor by using a Texas Instrument TMS320F28335 digital signal processor (DSP). The NN controller is developed based on the complete state-space equation of an IPM motor and it is trained to achieve optimal control according to approximate dynamic programming (ADP). A DSP-based NN control system is built for an IPM motor drives system, and a high efficient DSP program is developed to implement the NN control algorithm while considering the limited memory and computing capability of the TMS320F28335 DSP. The DSP-based NN controller is able to manage IPM motor control in linear, over, and six-step modulation regions to improve the efficiency of IPM drives and to allow for the full utilization of DC bus voltage with space-vector pulse-width modulation (SVPWM). The experiment results show that the proposed NN controller is able to operate with a sampling period of 0.1ms, even with limited DSP resources of up to 150 MHz cycle time, which is applicable in practical motor industrial implementations. The NN controller has demonstrated a better current and speed tracking performance than the conventional standard vector controller for IPM operation in both the linear and over-modulation regions.