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Benefits of Cyber-Physical Systems Modeling and Simulation with LabView
1-6Views:160Cyber-physical systems (CPSs) as part of the Industry 4.0 strategy, represents one of the most challenging research topic for engineers. It’s well known that CPSs integrate at highest level digital technology (computation, control and networking) into physical objects. However, by incorporating various heterogeneous subsystems with different energy levels and functionalities, both analogue and digital signals management, as well as a large scale of communication and information technologies, their modeling and simulation becomes a difficult engineering task. In the past years a huge number of research papers has been dedicated to identify and develop modeling techniques and simulation toolkits being able to handle CPSs complexity. Following these trends, this paper is focused to research and evidence issues linked with the LabView graphically oriented programming technology utilization for CPSs modelling and simulation purposes. Both advantages and shortcomings of this very special technology are studied in order to design and implement a viable software framework being able to model and simulate various CPS structures. As a concrete example, a specific CPS configuration consist of six computer-based mechatronic systems that constitute a laboratory-prototype manufacturing plant has been chosen for LabView-based modeling and simulation. Various virtual instrument-type models of this setup has been conceived and proposed for real-time simulation. It has been concluded then that the application of LabView technology lead to interesting and useful results. The paper specially highlights the benefits and versatility of LabView utilization for complex CPSs modeling and simulation purposes.
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Bond-Graph Model Based Stepper Motor Output Characteristics Simulation Implemented in LabVIEW Environment
1-6.Views:258In the industry, simulations are of great importance. They enable measurements to be made in different conditions about a virtual device, which are highly comparable to measurements made in a real life scenarios. Because of their wide range of usage in lower power drive systems, where precision and simplicity is a must, the subject of study is a permanent magnet stepper motor. For precise positioning purposes, it is essential to know the positioning behaviour of these devices. The model construction process involved an intermediate step, which consisted of creating the Bond-Graph of the motor based on pre-defined models available in the literature in this field. In the next step, the Bond-Graph model was converted to a block diagram of the motor. This permitted the direct implementation of the motor model in LabVIEW visual programming environment. The preliminary steps allows us to check and confirm the functionality and correctness of the model. This article covers in detail the model conversion and implementation steps of the simulation. At the end, the functionality of the simulation was tested.
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Simulation of PMSM Vector Control Using Multisim and LabVIEW
1-7.Views:61This paper represents the simulation of field-oriented control of a permanent magnet synchronous motor. Using Clark-Park transform and three PI controllers for controlling speed, direct-axis current, and quadrant axis current. As maximum torque occurs when the rotor field and stator fields are 90 degrees from each other. The goal is to bring the stator field always orthogonal to the rotor field. The simulation is performed using Multisim and LabVIEW software
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Modelling and Simulation of Stepper Motor For Position Control Using LabVIEW
1-5.Views:1604This paper presents hybrid stepper motor (is a type of stepping motor) modelling and simulation which is widely used a kind of motor in industrial applications. In this study, the stepper motor was modelled using bond graph technique and simulation for desired position was executed on LabVIEW
graphical interface. Then, firstly a convenient PID controller was designed for position, speed and current and PID close loopresponse was obtained for position control. Then, PID parameters for each controller were arranged separately to obtain good response Secondly, Fuzzy Logic controller applied to
the system and its response was obtained. Finally, both responses are compared. According to comparison, it was observed that Fuzzy Logic controller’s response is better than PID’s. (In this paper, all shown responses were observed for 120 degree desired position) -
Simulation and Formal Verification for Improving Safety of PLC Programs
1-6.Views:73The use of analysis techniques for improving quality of software for industrial controllers is widely used. Mainly Simulation and Formal Verification can be used as complementary techniques improving dependability of mechatronic systems behavior. In this paper there are used Simulation and Formal Verification for guaranteeing safe software for Programmable Logic Controllers, mainly related with using Function blocks of IEC 61131-3 standard. For studying, simulating and verifying behavior of those blocks are used timed automata, as modeling formalism, and UPPAAL, as tool for simulation and Formal Verification purposes.
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Trajectory Control of Designed Experimental Mobile Robot
1-5.Views:255Due to advancing technology; nowadays mobile robot applications in hospitals have been increased. For that reason, it is very important and necessary to analyze the trajectory of such helping robotic system. However; there are many types of mobile robots have been utilized in hospital applications such as helping nurses. In this simulation study; a designed and controlled mobile robot was controlled by using standard feedback controllers. On the other hand, the robot was also tested with disturbances of ground surface roughness. The simulation results were improved that standard PID controller has superior performance to overcome surface roughness of the robot trajectory.
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Sway Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller
1-8.Views:226This paper presents a novel control approach for 3 cars crane systems. Nowadays; some problems for carrying unpredicted loads of crane systems exist. On the other hand; long bar loads are very important to carry without touch on other materials in factories. In this simulation study, fuzzy based controllers were designed to control vibrations of 3 cars crane system. The simulation results are improved and show this kind of controllers will be employed in real time such systems.
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Bond Graph Modeling, Simulation, and Control of Permanent Magnet Linear Synchronous Motor: PMLSM Motor Based EVs Applications
1-9Views:172The high-performance feature of the Permanent Magnet Linear Synchronous Motor (PMLSM) makes it a reliable and valuable motor for use in the automotive industry, especially for electric vehicle (EVs) applications. This research proposes a bond graph approach in modeling the PMLSM as a multi-domain dynamical system.
However, A time-based simulation was performed using 20-sim software to simulate the dynamical behavior of the motor. An equivalent model of the motor was first obtained and then modeled and simulated using 20-sim software. The model of the PMLSM drive system was modeled separately and incorporated with PMLSM Motor equivalent model to form a global model.
Moreover, the motor drive system response was studied based on the sensor resolutions and the inverter switching frequency. The block diagram and the transfer function methods validated the bond graph model obtained. Two classical PIs such as continuous and discrete were implemented on the motor response to control the velocity of the motor.
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LabView-based Modeling and Evaluation of Solar Photovoltaic Cells Energetic Efficiency
1-6.Views:83As it is well known, an accurate knowledge of solar photovoltaic (PV) cell parameters from experimental data is of major importance for estimate their performances and to implement high energetic efficiency PV plants. In the last decade several solar cell models, respectively a high amount of software toolkits have been developed to evaluate their electrical behavior and performances. This paper is focused to introduce a LabView graphical programming language based solution to conveniently modeling, simulate, and evaluate solar PV cells energetic efficiency. By using their well known electrical equivalent circuits a fast and accurate PV simulator has been designed and implemented for research and energetic efficiency studies. The simulation models used has been validated through comparison of the obtained characteristics with the ones given by the manufacturers of PV panels. The computer-aided simulation results carried out are in a good agreement with the manufacturer’s catalogue data and the LabView-based program can serve as a very useful toolkit for engineers or researchers who require an accurate PV simulator and evaluate the performances of any photovoltaic module.
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Store Elements LabView-based Energy-flow Models Developmnet and Implementation in HVAC systems
1-6.Views:74It is well known that store elements such as liquid tanks, water reservoirs, or gas containers, are basic elements in heating, ventilation and air conditioning (HVAC) systems development and implementation. In a wide range of applications they serve as efficient energy storage elements by capturing heat energy amount in hot water form. This paper presents a LabView graphical software-based energy-flow model development for store elements in HVAC systems. In the first research steps the mathematical background describing the energy-flow processes in the considered store element (water tank) it is presented and discussed. Then an original software model has been designed and implemented to simulate the ongoing energy-flow processes. The result of the above mentioned research efforts is a powerful and versatile software toolkit (virtual instrument) well suitable to modeling and simulate complex energy-flow processes in HVAC systems embedding various types of store elements. Beside the elaborated mathematical model concrete software simulation examples and measurement data are also provided in the paper. Not at least, the proposed original model offers a feasible solution for future developments and research in HVAC systems software modeling and simulation purposes.
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Secure Multi-level Cluster Based Wireless Sensor Network
1-7.Views:96The demand of wireless sensor networks (WSNs) is on the raise due to its potential applications. The data transmission occurs via a wireless link by the sensor node in network hence these nodes are vulnerable to several outside or inside attacks. A WSN may works in an unfriendly environment therefore it is a fundamental requirement of WSN to secure the sensing data. In this paper, we focus on highlighting the security issues in a multilayer WSN architecture and provide a secure communication solution (combination of various state- of-art protocols) for it by considering the WSN constraints. We propose a multi-level protocol distribution method to enhance the security of the WSN under consideration via targeting and providing resilience to specific attacks at each level. The simulation and results show that by implementing our proposed method, the overall security of the network has been enhanced.
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Lightweight Multi-agent Framework for a Cluster-based Wireless Sensor Network
1-7.Views:73Sensor applications and wireless sensor networks (WSNs) are becoming a part of our everyday life. A number of network arrangements are used in WSN. In this paper, we focus on the cluster based network to help identify the issues associated with communication within such networks. We present a lightweight multi-agent routing framework for a cluster based WSN to resolve some issues associated with such networks. By using state- of-art protocol in a unique combination and categorizing cluster layers, we take full advantage of the properties of the selected protocols. The simulation results illustrate that the proposed method is light-weight in terms of energy consumption by the sensor nodes communicating information within a cluster based network. Nevertheless, high network throughput and robust data communication are also achieved.
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Speed Control of Three Phase Induction Motor Using Scalar Method and PID Controller
1-5.Views:197This paper presents the speed control of a three-phase induction motor using the scalar control method with PID controller. The system maintains a constant volt to frequency ratio for any change in the load. We also used vector control method and bond graph to describe the motor model, as well as its behavior. Finally, we simulated the system using Labview, where the good results of using the scalar control technique are shown.
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Hopping Rover Navigation Method for Rugged Environments
1-6.Views:258In this paper a navigation method is presented for space exploration robots using hopping motion in environments with large elevation differences. A monocular camera system is used to reconstruct the flight trajectory and environment around the robot using Structure from Motion while traveling. The created environmental point cloud is projected to 2D to create a variable resolution image and image processing is used to find the most suitable position for the next landing based on normals with the help of gradient maps and error estimation. The method is evaluated in a simulation environment against the previously used protrusion based method to show that the proposed system can extend the operation of the robot to terrains with large elevation differences while still successfully avoid obstacles and dangerous areas.
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Brushless DC Motor Modeling Using Bond Graph Method and Control using LabVIEW: Speed control based calssical PID control
1-5.Views:242This paper aims to simulate and control a three-phase Brushless DC Motor. Bond Graph method has been used to obtain fast and simple dynamic model. The system has been controlled by classical PID controller. All the paper results were fulfilled using LabVIEW program.
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System Identification and Model Validation of Recursive Least Squares Algorithm for Box–Jenkins Systems
1-6.Views:187In this paper, a new-type recursive least squares algorithm is proposed for identifying the system model parameters and the noise model parameters of Box–Jenkins Systems. The basic idea is based on replacing the unmeasurable variables in the information vectors with their estimates. The proposed algorithm has high computational efficiency because the dimensions of the involved covariance matrices in each subsystem become small. Validation of the model is evaluated using some statistical methods, Which, best-fit criterion and Histogram. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.
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Electric Vehicle Modeling and Simulation of Volkswagen Crafter with 2.0 TDI CR Diesel Engine: VW Vehicle 2020 Based PMSM Propulsion
1-6Views:342The Internal Combustion Engine (ICE) used by conventional vehicles is one of the major causes of environmental global warming and air pollutions. However, the emission of toxic gases is harmful to the living. Electric propulsion has been developed in modern electric vehicles to replace the ICE.
The research is aimed at using both Simulink and SIMSCAPE toolboxes in a MATLAB to model the vehicle. This research proposes a Volkswagen (VW) crafter with a 2.0 diesel TDI CR engine, manufactured in 2020. An electric power train, a rear-wheel driven, based on Permanent Magnet Synchronous Motor (PMSM) was designed to replace the front-wheel driven, diesel engine of the VW conventional vehicle.
In this research, a Nissan leaf battery of a nominal voltage of 360 V, 24 kWh capacity was modeled to serve as the energy source of the overall system. A New European Drive Cycle (NEDC) was used in this research. Another test input such as a ramp was also used to test the vehicle under different road conditions. However, a Proportional Integral (PI) controller was developed to control both the speed of the vehicle and that of the synchronous motor. Different drive cycles were used to test the vehicle. The vehicle demonstrated good tracking capability with each type of test. In addition, this research found out that there is approximately about 19% more benefit in terms of fuel economy of electric vehicles than the conventional vehicles.
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Adaptive Backstepping Controller of PMLSM
1-6.Views:251In this paper, a nonlinear adaptive speed controller for permanent magnet linear synchronous motors based on a newly developed adaptive recursive Backstepping control approach for a permanent magnet synchronous motor drive is discussed and analyzed. The Backstepping technique provides a systematic method to address this type of problem. It combines the notion of Lyapunov function and a controller procedure recursively. The adaptive Backstepping control approach is utilized to obtain the robustness for mismatched parameter uncertainties. The overall stability of the system is shown using Lyapunov stability theorem. The simulation results clearly show that the proposed scheme can track the speed reference.
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Classification of Mushroom Data Set by Ensemble Methods
1-4.Views:604Due to disease of mushrooms, it is very important to classify mushrooms for predicting the best quality mushrooms. There are many methods to analyse the main parts of mushrooms. For above mentioned descriptions; in this simulation study five types of classification algorithm are employed to predict the structure of mushrooms. Mushroom dataset is used to predict the classes of mushrooms. The results are improved that these methods will be used to predict exact mushrooms features and classifications in real time approaches.
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Rule-base Reduction in Fuzzy Rule Interpolation-based Q-learning
1-6.Views:85The method called Fuzzy Rule Interpolation-based Q-learning (FRIQ-learning for short) uses a fuzzy rule interpolation method to be the reasoning engine applied within Q-learning. This method was introduced previously by the authors along with a rule-base construction extension for FRIQlearning, which can construct the requested FRI fuzzy model from scratch in a reduced size, implementing an incremental creation strategy. The rule-base created this way will most probably contain only those rules which were significant during the construction process, but have no important role in the final rule-base. Also there can be rules which became redundant (can be calculated by using fuzzy rule interpolation) thanks to another rule in the finished rule base. The goal of the paper is to introduce possible methods, which aim to find and remove the redundant and unnecessary rules from the rule-base automatically by using variations of newly developed decremental rule base reduction strategies. The paper also includes an application example presenting the applicability of the methods via a well known reinforcement learning example: the cart-pole simulation.
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Opportunities of Computer-aided Building Energy Consumption Design
1-5.Views:62Nowadays a significant part of energy is consumed in buildings. In order to reduce the energy consumption different retrofit technologies are applied. As every building and every energy consumer is different the same modernization technic can not be used for all buildings. This paper shows a computer aided opportunity which is able to simulate different modernization technic for the same building in order to the best opportunity can be selected. The paper highlights the advantages of computeraided building design and the opportunities of optimization techniques in a new under design building case. This paper also contains examples in order to introduce this modelling method.
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DC Motor Simulation with ARM Based Hardware in the Loop
1-3.Views:86Hardware in the loop testing is increasingly important product testing for cutting down time to market. In my previous article I identified the parameters of a DC motor control system using system identification. An implementation of the resulting transfer function was developed on an ARM based hardware in the loop system and has been verified against the original system. The results show that the hardware in the loop system produces responses within tolerance to the stimulus signals and can be used for testing of controlsystems.
