LabVIEW Simulation Research Articles

Using the LabVIEW Simulation Program to Design and Determine the Characteristics of Amplifiers

Because of the large number of parameters that interact in amplifier functions, determining dynamic regime parameters as well as the mode of function of amplifier stages is an extremely complex problem. This paper describes a LabVIEW application for studying the functioning of an amplifier in various connections. The user selects the generator’s parameters, the type of connection and its parameters, as well as the load circuit characteristics. The application can determine both the stage characteristics and the Bode characteristics. The amplifier’s stability zone, as well as its gain and phase, are determined based on these characteristics. An important advantage of this application is that the design of the amplifier stage can be created starting from some parameters that the amplifier can establish, from which the values of components can be determined. In order to validate the simulation results from the LabVIEW application, the specialized program Multisim was used, as well as experimental measurements using the Electronics Explorer Board. Both Multisim and Electronics Explorer Board can determine Bode characteristics. In both simulations and experimental amplifiers, the same schemes with the same transistor were used. The application can be used for educational purposes as well as to design an amplifier’s stage to achieve specific parameters.

Evaluation of hydrogen fuel cell-based systematic vehicular application to promote the green economy using LabVIEW

BackgroundThis research work aims to create, develop, and evaluate the Hydrogen fuel cell (HFC) model in LabVIEW targeting vehicular applications. Global warming, colonization, and unexpected bursts in population have led to the formation of problems due to the augmented utilization of Petrochemical substances and have impacted our way of living. To meet the urbanization need, energy is being produced at such a large scale that has never been produced in the entire human history. Excess usage of fossil fuels, coal, and other Petrochemical substances for energy generation has influenced the environment and as a result, hazardous and toxic compounds (carbonic gases) started to emerge in the air and affected the ozone layer surrounding the earth. HFC's operated vehicles are a possible way of conventional energy production and can power up electronics in our industries and vehicles. ResultsFor this, LabVIEW VI simulation targeting the mini-car model is created using the hydrogen fuel cell vehicle (HFCEV) formulas and strategic design equations. Through LabVIEW simulation, two study cases (one at a constant temperature while others at static fuel pressure) are made to assess the feasibility and performance of the HFC for vehicular application. The result indicates the disparity in performance (in the form of a relationship) of the vehicle by varying the temperature and concentration of fuel contents in the HFC. ConclusionsThe benefits of the research work include obtaining prior information about the HFCEV parameters.

Studying the mathematical equations of rotational motion on vehicle by using labview simulation

This article presents a research on simulating the factors that affect the turning motion of a car using the Labview software. As the turning radius of a car requires many factors to be taken into account, such as motion conditions, the deformable characteristics of the elastic suspension hook, and the structural specifications of the car, relying on geometric relationships alone is not sufficient to guarantee the stability of the turning motion. Simulating the turning motion of a car with the Labview Control and Simulation tool therefore offers a more efficient and cost-effective alternative to manual calculations, as it allows for the consideration of all the factors that could affect the geometric relationship of the car and the turning radius.

Research on intervention PID control of VAV terminal based on LabVIEW

In recent years, the research on the control method of variable air volume (VAV) has been the focus of VAV air-conditioning research. Single terminal PID control is prone to overshoot in the system when the temperature difference is large. Aiming at the deficiency of single terminal PID control at the air conditioning terminal, a control method of coupling intervention control and PID control is proposed. This thesis used LabVIEW simulation and experiment to analyze the performance of terminal intervention PID control. According to the experiment, the change of room temperature after adding 1500W heat load in the room was recorded by thermocouple, and the step response of room temperature was obtained. The LabVIEW simulation program of PID and intervention PID control is established according to the characteristics of room step response. The reliability of LabVIEW simulation program was verified by experimental data, respectively. The intervention PID control and conventional PID control are simulated by LabVIEW simulation program under 1000W and 1500w load to compare their stability, anti-interference and robustness. The experiments and simulation results show that the control strategy using the intervention recognition algorithm nested with the PID algorithm has good dynamic performance, robustness, and adaptability.

Smart Parking System with LabView Simulator

In the field of transportation, one of the technological developments can be found in the parking service system. However, in the current parking service system, there are still several shortcomings, one of which is the absence of a parking system that can provide information to motorists regarding vacant parking locations. If the condition of the parking lot is congested, it will be difficult for customers to find an empty parking location and cause queues at the parking location. The purpose of this study is to design a system for calculating the availability of parking spaces that can make it easier for motorists to find an empty parking area so that the mobility of vehicles in the parking lot can be organized, efficient, and well organized. This smart parking system is designed using an Arduino microcontroller and uses an infrared sensor to detect the condition of the car in the parking lot. The information provided in the form of parking conditions will be displayed through the LCD and the LabView application so that the information can be known by the driver before entering the parking area. In addition, drivers can also find out the number of parking fees for their vehicles. Results of the simulation show that the prototype can work normally according to the design made.

Four Circuit Transmission Line Location for Inter Circuit Faults Using Fuzzy Expert System

The inter circuit faults in four circuit power transmission line (FCPTL) have a significant influence on the conventional relay performance. Due to the special nature of faults, the protective relaying has been a challenging work. This paper investigates a fuzzy expert system (FES) approach for FCPTL to locate the inter circuit faults and to improve the accuracy of shunt faults location. This approach adopts the fundament component of current (FCC) of the FCPTL at only one end. With the goal of attaining improved inputs–outputs mapping capacity of FES for datasets, an optimization approach, i.e., Mamdani type, has been used for finding the optimal values of tuning parameters. The FES with If-Then rules has been framed for inter circuit faults location. The reported studies are performed in the LabVIEW platform using a 200 km, 500 kV, 50 Hz, FCPTL MATLAB test system. The MATLAB and LabVIEW simulation conform that the proposed approach can correctly locate faults considering various fault types and fault distances within the FCPTL. The proposed approach is easy to design and low cost for existing and new FCPTL installations.

Model predictive controller for a retrofitted heat exchanger temperature control laboratory experiment

This paper aims to demonstrate the practical aspects of process control theory for undergraduate students at the Department of Chemical Engineering at the University of Bahrain. Both, the ubiquitous proportional integral derivative (PID) as well as model predictive control (MPC) and their auxiliaries were designed and implemented in a real-time framework. The latter was realized through retrofitting an existing plate-and-frame heat exchanger unit that has been operated using an analog PID temperature controller. The upgraded control system consists of a personal computer (PC), low-cost interface using X-transposed-region (XTR) converter, national instruments USB 6008 data acquisition card, and LabVIEW software. LabVIEW control design and simulation modules were used to design and implement the PID and MPC controllers. The performance of the designed controllers was evaluated while controlling the outlet temperature of the retrofitted plate-and-frame heat exchanger. The distinguished feature of the MPC controller in handling input and output constraints was perceived in real-time. From a pedagogical point of view, realizing the theory of process control through practical implementation was substantial in enhancing the student’s learning and the instructor’s teaching experience

Modeling the synchronous permanent magnet generator with RLC load

This paper is concerned with the modeling of the three-phase permanent magnet synchronous generator (PMSG) and its load in the dq0 reference system. The generator was considered to be directly connected to a balanced three-phase load. The loads under consideration were R and RLC type loads. The connection to the R load can be simulated using the standard PMSG dq model and Park transformations, but the connection to the RLC load requires the modeling of the system as a whole. LabVIEW simulations of these models were used in order to study the behavior of the PMSG under various load conditions (R, RL and RC). These models can be used to simulate the behavior of the PMSG in a conventional (natural gas, coal, etc.) or renewable (wind energy, hydropower, etc.) energy conversion system. They can also be used in designing the control of the energy conversion system (MPPT control, Droop control, etc.).

Performance Comparison Between Hot Mirror and Cold Mirror as a Beam Splitter on Photovoltaic - Thermoelectric Generator Hybrid Using LabVIEW Simulator

Solar energy can be converted into electrical energy using photovoltaic (PV) and thermoelectric generators (TEG). In order to increase the effectiveness of energy absorption, a hot mirror or cold mirror spectrum separator is used. In this study, a simulation was carried out to see the effect of the cold mirror and hot mirror spectrum separator on the performance of the PV-TEG hybrid. Simulations are carried out using the LabVIEW program. The standard for the solar radiation spectrum used is AM1.5D. The incoming radiation is transmitted using a Fresnel lens to make it more focused and then transmitted to a cold mirror or hot mirror, where the spectral irradiance will be halved. Spectral irradiance with a wavelength of 400-690 nm will be directed to PV and a wavelength of 710-1150 nm will be directed to TEG. From the PV-TEG hybrid modeling and simulation using the LabVIEW program, the resulting power and efficiency are 240.635 W/m2 and 27% respectively for cold mirror and 228.835 W/m2 and 25.76% for hot mirror.

Simulation of Knee Joint Angle Estimation from EMG Signal for Post ACL Reconstruction Surgical Rehabilitation

Anterior Cruciate Ligament (ACL) rupture is one of the most common and severe sports injuries among the athletes caused by trauma. The standard treatment for ACL rupture patients is Reconstruction Anterior Cruciate Ligament (RACL) surgery, followed by rehabilitation lasting six to nine months. Consistent post-RACL medical rehabilitation can restore normal knee function. In this study, proposes a real-time simulation of knee joint angle estimation from electromyogram (EMG) signals for medical rehabilitation of RACL patients. Which is the continuation of this program is to be able to create an exoskeleton to increase the consistency and quality of medical rehabilitation of RACL patients. The method used to make this simulation is using LabVIEW software to simultaneous data collection between the EMG signal from the bicep femoralis muscle and the knee angle. The simultaneous data is processed using a Monte Carlo calculation to estimate the knee angle from the EMG signals. The LabVIEW simulation shows that the knee angle’s estimate was close enough to the measured knee angle and had a small time delay. It can be concluded that simulation of knee angle estimation from the EMG signal produces a good simulation and can be developed to the exoskeleton.

Educational interactive LabVIEW simulations of field hydraulic conductivity tests below water table

AbstractVisual artifacts used in graphical designs of the mechanisms of groundwater flow problems are very influential in learning and teaching. The merits of the classical methods of problem‐solving using only mathematics become much less superior to those linked with interactive graphics. In this study, an interactive educational LabVIEW program is designed to graphically simulate the constructional and mathematical procedures of the two widely used field methods in groundwater engineering, the Ernst auger‐hole method, and the Bouwer–Rice slug test method, for field measurements of the hydraulic conductivity of soils below the water table. The simulations included the basic constructional steps in carrying out the auger hole and the slug test field methods. Virtual geometric wells, boreholes, and pipes are graphically and interactively designed to conduct the required field tests. The simulations of the program enabled the students to get acquainted with what should be done in the field to measure soil hydraulic conductivity and enhanced understanding of how to perform a field test. Students were able to try different field hydrological parameters, and by successively changing any hydrological field parameter, they were able to visualize graphically and interactively its influence inside the classroom. This particular step improved the student's practical standards. Conditions of validity of each field test are completely fulfilled by the program. Results of the interactive program are found to be visually interesting and extremely accurate, which made this educational program quite interesting in teaching and learning.

Real time exploited BLDC motor drive BLDC motor drive in lab view virtual instrumentation environment

Abstract The brushless dc motor motors (BLDCMs) have an exceptional increasing demand in low powered electrical vehicle and commercial applications as their speed-torque performance, size and cost matters quite improvise than other motors. However the control of BLDCM motor is quiet complex and fitting of it into the application is very specific and challenging. The multi-motoring interface and control system and on-line turning are other challenges in the multi-motor drives as many control parameters are involved. In industrial applications, the demand of single-phase BLDCM multi-motoring real time control is expected technology in industry 4.0 based new era. The data acquisition card (DAQ), control and measurements are the ideal requirements of the real time multi-motor controls. The Lab View based centralized DAQ speed control is a possible solution for multi motor drive. With this interest, this paper deals about the real time single-phase BLDCM control by the use of Lab View DAQ NI USB 6008. In this paper the BLDCM control is created in the LABVIEW simulation with the option of varying the DC motor input voltage controlled by means of a virtual knob in lab view software. Output of DAQ has voltage varying reference which the voltage is giving the control reference voltage to the BLDCM to match the speed requirement. The current measurement of the proposed motor control has done with dedicated current shunt which accurate measures the current rating and given to DAQ. The different operating conditions of the motor performance is simulated in real time and verified with motor drive outputs. The proposed Lab VIEW based low power BLDCM control can be extended for multi-BLDCM drive system which offers the flexibility of integration of data acquisition.

Control system design for steering and depth subsystems of autonomous underwater vehicle

This work seeks to propose the development of a classical-optimized control design scheme for the steering and depth subsystems of autonomous underwater vehicle. Linearization methodological approach is carried out for acquiring the transfer functions to design the convenient P/PD/PID controllers where the gains are optimally adjusted utilizing a graphical tuning technique in LabVIEW. A low pass filter with additional alpha tuning parameter is combined with the derivative action to suppress the expected oscillations entirely. Furthermore, a comparative analysis study with linear quadratic regulator optimal control is established for testing and evaluating the suggested design approach. The effectiveness of the addressed controller strategy is appraised for compensating and rejection of several uncertainties such as fin saturation, angle limitation and sensor measurements noise as they are potentially affecting the system response. The validity of the linearized classical-optimized control design is substantiated with the nonlinear underwater vehicle model through a waypoint guidance scenario under LabVIEW simulation platform. The results revealed a significant improvement in transient and steady state responses and a remarkable enhanced stability for tracking the desired path to different designated waypoints.

Digital Signal Processing Optimization Algorithm for Terahertz Communication Based on Short Convolution Iterative Algorithm and Adaptive Blind Equalization Algorithm

This paper systematically studies the crosstalk problem caused by the low parallelization rate and tail-to-back tailing in the high-speed digital signal parallel processing in terahertz communication. First, in order to improve the parallelization rate in system application, a high-speed digital signal in the network is filtered in parallel based on a short convolution iterative algorithm for the input signal. Second, an adaptive blind equalization algorithm is proposed to solve the problem crosstalk is used to restore the original signal. Finally, the effectiveness of the equalization algorithm is verified by MATLAB, and the designed algorithm is implemented by Labview simulation software. The effectiveness of the designed algorithm is verified by simulation analysis. The high-speed signal after parallel filtering and equalization can restore the information of the original signal well.

Virtual Instrumentation in Electrical Engineering Applications

This paper presents the applications of LabVIEW tools in the field of electrical engineering for student-centric learning such as power factor measurement, AC-to-DC converters, speed control of induction and DC motor drive. LabVIEW is a powerful graphical interface and user-friendly tool designed specifically for test, measurement and control. The power factor of resistive and inductive loads, the performance parameters of fully controlled converters and speed control of induction motor are performed in LabVIEW with DAQ device USB 6009. The speed control of a DC motor is performed with PI-speed controller using LabVIEW control and simulation toolkit and fuzzy logic controller. Measurement results are presented to validate the feasibility of system.

Time Evaluation Of Different Cryptography Algorithms Using Labview

A new LabVIEW simulation design was applied to provide a comparison study among several types of the most common symmetric and asymmetric encryption algorithms. Also, the comparison with advanced encryption package program was made. The results showed that the new LabVIEW simulation design had advantages in several points, where the evaluated time required for the encryption and decryption processes will be lesser than it values using advanced encryption package program.In this work, the symmetric encryption algorithms were used: AES (Advanced Encryption Standard), DES (Data Encryption Standard), 3DES (Triple Data Encryption Standard) and RC2 (Rivest Cipher) algorithms, while the asymmetric encryption algorithm used was the RSA (Rivest-Shamir-Aldeman) algorithm. The comparison had been achieved using different sizes of text files with different key sizes. The final results proved that the LabVIEW simulation design is better than the Advanced Encryption Package because it increased the algorithm’s performance by 65% in terms of speed and throughput, and for the algorithms’ comparison, the final results showed the effectiveness of AES algorithm over the other algorithms in terms of speed and throughput for the encryption and decryption processes.

Analysis of Different Controllers used for Boiler Drum Level Control by using LabVIEW Simulation

Analysis of Different Controllers used for Boiler Drum Level Control by using LabVIEW Simulation

Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator

The purpose of this research is to propose and design fault tolerant control (FTC) scheme for a robotic manipulator, to increase its reliability and performance in the presence of actuator and sensor faults. To achieve the said objectives, a hybrid control law relying on observer and hardware redundancy-based technique has been formulated in this paper. Non-linear observers are designed to estimate the unknown states. The comparison of actual states and observed states lead to fault identification, this is followed by fault tolerance accomplished with redundant sensors. For actuator fault tolerance, fault estimation and controller reconfiguration techniques are applied in addition to nominal control law. Fault estimation is based on adaptive back-stepping technique and it is further used to construct actuator fault tolerant control. The proposed method is applied to a six degree of freedom (DOF) robotic manipulator model and the effectiveness of this technique is verified by LabVIEW simulations. Simulation results witnessed the improved tracking performance in the presence of actuator and sensor failures.

FPGA-Based Hardware Implementation of Computationally Efficient Multi-Source DOA Estimation Algorithms

Hardware implementation of the proposed direction of arrival (DOA) estimation algorithms based on Cholesky and LDL decomposition is presented in this paper. The proposed algorithms are implemented for execution on a field programmable gate array (FPGA) as well as a PC (running LabVIEW) for the multiple non-coherent sources located in the far-field region of a uniform linear array (ULA). Prototype testbeds built using the national instruments (NI) universal software radio peripheral (USRP) software defined radio (SDR) platform and Xilinx Virtex-5 FPGA are originally constructed for the experimental validation of the proposed algorithms. The results from LabVIEW simulations and real-time hardware experiments demonstrate the effectiveness of the proposed algorithms. Specifically, the implementation of the proposed algorithms on a Xilinx Virtex-5 FPGA using the LabVIEW software clarifies their efficiency in terms of computation time and resource utilization, which make them suitable for the real-time practical applications. Moreover, the performance comparison with the QR decomposition-based DOA algorithms as well as similar FPGA-based implementations reported in the literature is conducted in terms of the estimation accuracy, computation speed, and FPGA resources consumed.

A new approach to automation of black tea fermentation process with electronic nose

ABSTRACTManufacturing of black tea is a complex process consisting of plucking, withering, curling, fermenting, drying, determining of quality, and packaging stages. Nowadays, tea quality is determined by two methods. Either chemical analysis method is used or tea tasters give quality scores by tasting, smelling, and visual inspection. By means of recent studies, tea quality can also be determined by electronic nose technology. The quality of tea is generally related with the fermentation stage. In this work, an electronic nose, which determines the quality of tea during the fermentation process in real time from only its odour, was made, and the fermentation band was controlled by this electronic nose. Fermentation bands of a tea factory in the Çayeli District of Rize, Turkey have been simulated and controlled via LabVIEW simulation software by using real odour values measured in the factory with the electronic nose. In the study, a new fermentation band system has been designed to function with the electronic nose. This section of the study has been performed in the simulation environment due to the high cost of physical system setup. With the method proposed in this study, tea factories will be able to increase their production capacity with higher quality.