scholarly journals DSP Implementation of a Neural Network Vector Controller for IPM Motor Drives

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2558
Author(s):  
Yang Sun ◽  
Shuhui Li ◽  
Malek Ramezani ◽  
Bharat Balasubramanian ◽  
Bian Jin ◽  
...  
Keyword(s):  
Neural Network ◽  
Digital Signal Processor ◽  
Pulse Width Modulation ◽  
Digital Signal ◽  
Sampling Period ◽  
Motor Drives ◽  
Texas Instrument ◽  
High Efficient ◽  
Standard Vector ◽  
Bus Voltage

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.

Design of New Frequency Converter Based on TMS320LF2407A

2012 ◽  
Vol 466-467 ◽  
pp. 809-813
Author(s):  
Zhan Jun Yuan ◽  
Jin Wang
Keyword(s):  
Digital Signal Processor ◽  
Pulse Width Modulation ◽  
Frequency Converter ◽  
Dynamic Performance ◽  
Digital Signal ◽  
Control Precision ◽  
Software And Hardware ◽  
Converter Design ◽  
Utilization Ratio ◽  
High Control

In order to improve voltage utilization ratio and dynamic performance of frequency converter, this paper presents a digital frequency converter design scheme based on digital signal processor TMS320LF2407A and the theory of space vector pulse width modulation (SVPWM) technology, provides its detailed design measures of software and hardware and SVPWM algorithm realization methods. The experimental results prove that this new frequency converter has simple structure, high control precision, higher voltage utilization ratio, better dynamic and static property.

scholarly journals Novel Control Platform Development for PMLSM Drive System Based on Virtual Instrument

2013 ◽  
Vol 416-417 ◽  
pp. 530-535
Author(s):  
Jian Xun Jin ◽  
Wei Xu ◽  
Yan Chen ◽  
You Guang Guo ◽  
Jian Guo Zhu
Keyword(s):  
Data Acquisition ◽  
Virtual Instrument ◽  
Digital Signal Processor ◽  
Pulse Width Modulation ◽  
Digital Signal ◽  
Drive System ◽  
Signal Source ◽  
Computational Capability ◽  
Data Acquisition Card ◽  
Platform Development

A novel control platform for the permanent magnet linear synchronous motor (PMLSM) drive system has been built up based on virtual instrument (VI) and relavant data acquisition card (DAQ) devices. In the traditional control platform, it mostly depends on digital signal processor (DSP), which needs a lot of time to further develop the interface between the personal computer (PC) and operators, and its computational capability is not strong than computer. To overcome these shortages, a novel control platform is presented on the base of one PC, one LabVIEW, and one multifunctional data acquisition card. Firstly, a space vector pulse width modulation (SVPWM) signal source is executed in the VI. Then in order to improve the precision of control system, the field oriented control (FOC) is proposed for the PMLSM. Finally comprehensive experiments verify with relative simulations.

scholarly journals Optimizing Convolution Neural Network on the TI C6678 multicore DSP

2018 ◽  
Vol 246 ◽  
pp. 03044 ◽  
Author(s):  
Guozhao Zeng ◽  
Xiao Hu ◽  
Yueyue Chen
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Image Processing ◽  
Deep Learning ◽  
Digital Signal Processor ◽  
High Performance ◽  
Digital Signal ◽  
Automatic Translation ◽  
Convolution Operation ◽  
Multicore Dsp

Convolutional Neural Networks (CNNs) have become the most advanced algorithms for deep learning. They are widely used in image processing, object detection and automatic translation. As the demand for CNNs continues to increase, the platforms on which they are deployed continue to expand. As an excellent low-power, high-performance, embedded solution, Digital Signal Processor (DSP) is used frequently in many key areas. This paper attempts to deploy the CNN to Texas Instruments (TI)’s TMS320C6678 multi-core DSP and optimize the main operations (convolution) to accommodate the DSP structure. The efficiency of the improved convolution operation has increased by tens of times.

The Design of TIG-AWP Based on Inverter and DSP

2012 ◽  
Vol 236-237 ◽  
pp. 484-487
Author(s):  
Chun Tian Li ◽  
Yi Luo ◽  
Chang Hua Du ◽  
Gui Sheng Gan
Keyword(s):  
Digital Signal Processor ◽  
Pulse Width Modulation ◽  
Welding Process ◽  
Feedback Regulation ◽  
Digital Signal ◽  
Intermediate Frequency ◽  
Control Circuit ◽  
Experimental Result ◽  
Modulation Control ◽  
The Stability

The main circuit of tungsten inert gas (TIG) arc welding power (AWP), which is mode of the inverter for intermediate frequency and full-bridge IGBT, is designed based on DSP (Digital Signal Processor). The control designing, also based on DSP, include the sampling signal circuit, the control circuit for external characteristics, the PWM (Pulse-Width -Modulation) control circuit of TIG-AWP, the IGBT drive circuit and etc. This designing can strengthen the reliability of feedback regulation property on TIG-AWP; can enhance the stability of the parameters from the power system. The experimental result shows that the designed TIG-AWP has good feedback regulation and stability properties during the TIG welding process.

scholarly journals Novel approach for SVPWM of two-level inverter fed induction motor drive

2020 ◽  
Vol 11 (4) ◽  
pp. 1750
Author(s):  
Olwi A. Elkholi ◽  
Mohamed A. Enany ◽  
Ahmed F. Abdo ◽  
Mahmoud Eid
Keyword(s):  
Induction Motor ◽  
Pulse Width Modulation ◽  
Frequency Converter ◽  
Harmonic Distortion ◽  
Motor Drives ◽  
New Approaches ◽  
Novel Approach ◽  
Three Phase ◽  
Dc Bus ◽  
Bus Voltage

<p class="Abstract">Due to their better DC bus utilization and easier digital realization, Space Vector Pulse Width Modulation (SVPWM) scheme is the most widely used PWM scheme. Also two level inverter is the traditional frequency converter because it has fewer components and is lower complex to control, but on the other hand it generates higher harmonic distortion. This paper presents the realization of novel SVPWM approaches applied to the three phase induction motor drives. Specifically various schemes are based on using more combinations of step operation in each cycle to approximate the reference vector, such as 24 and 48 step operations in each cycle. The basic principle of conventional SVPWM with different modulation index M is presented. The switching sequences of new approaches are described. The modulation signals waveforms, DC bus voltage utilization, De-rated motor torque, standard error of average torque, voltage and current harmonic of new approaches are analyzed by the MATLAB/SIMULINK software. The results confirms that 48 step SVPWM approach is the best compared to other approaches.</p>

scholarly journals Experimental implementation PWM strategy for dual three-phase PMSM using 12-sector vector space decomposition applied on electric ship propulsion

2020 ◽  
Vol 11 (4) ◽  
pp. 1701
Author(s):  
Mhammed Hasoun ◽  
Aziz El Afia ◽  
Mohamed Khafallah ◽  
Karim Benkirane
Keyword(s):  
Vector Space ◽  
Digital Signal Processor ◽  
Pulse Width Modulation ◽  
Low Cost ◽  
Digital Signal ◽  
Conventional Technique ◽  
Ship Propulsion ◽  
Space Decomposition ◽  
Three Phase ◽  
Electric Ship

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.

The Study of Submerged Arc Welding Power Based on DSP

2012 ◽  
Vol 487 ◽  
pp. 186-191 ◽  
Author(s):  
Chun Tian Li ◽  
Chang Hua Du ◽  
Hui Bin Xu ◽  
Yi Luo
Keyword(s):  
Digital Signal Processor ◽  
Arc Welding ◽  
Pulse Width Modulation ◽  
Feedback Regulation ◽  
Digital Signal ◽  
Submerged Arc Welding ◽  
Control Circuit ◽  
Experimental Result ◽  
Modulation Control ◽  
Submerged Arc

The main and control circuit of submerged arc welding (SAW) power, which is mode of full-bridge and IGBT, is designed based on DSP (Digital Signal Processor). The designing include sub-modules based on DSP such as the sampling signal circuit, the control circuit for external characteristics, the PWM (Pulse-Width -Modulation) control circuit of SAW power, the IGBT drive circuit and etc. This designing can strengthen the reliability of feedback regulation property on SAW power, can enhance the stability of the parameters from the power system. The experimental result shows that the designed welding power has good feedback regulation and stability properties during the SAW process.

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