Top MATLAB Simulink Projects For Engineer With IEEE Paper

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MATLAB Simulink Projects

25. A Comparative Study of Fuzzy Logic Controller and Artificial Neural Network in Speed Control of Separately Excited DC Motor

This paper presents a comparative study of speed control DC motors by using two different artificial intelligent controllers which are a fuzzy logic controller (FLC) and an artificial neural network (ANN). Intelligent controllers have gained wide popularity in the application of control systems including DC motor speed control. The type of motor used in this project is a separately excited DC motor.

DC chopper is used to control the speed of the DC motor by controlling their armature voltage of the motor. The switching of the DC chopper is controlled by using the pulse width modulation (PWM) technique. This paper consists of two parts which are software development and hardware implementation. The software part is the development of the DC motor model with the controller to achieve the desired speed by using MATLAB/Simulink.

In the hardware part, a DC chopper is used to convert fixed DC voltage from the power supply to variable DC voltage. IGBT is used to control the variable DC voltage and hence, achieve the target speed of the DC motor. DSpace controller board is used for real-time interface of Simulink model and hardware development. In summary, this paper demonstrated the efficiency of both controllers designed for the DC motor in terms of speed control in both simulation and hardware implementation.

24. Adaptive PID Controller Using for Speed Control of the BLDC Motor

Brushless DC Motor (BLDCM) is broadly utilized for some mechanical applications, given their high efficiency, high torque, and low volume. It is very hard to tune the parameters and accomplish full force highlights utilizing a basic custom PID controller. An adaptive PID controls can meet the highlights and are anything but difficult to enrol.

The list items test that any adaptive PID controller has favoured both the PI controller and the customary Tahitian PID controller. This paper applies an Adaptive PID controller dependent on the extra blunder of a turnaround control sign to comprehend non-linearity, parameter varieties, and burden travel issues that happen in the BLDC motor drive framework.

The test results are exhibited to demonstrate that Adaptive PID controllers dependent on the extra mistake of the reverse control signal are fit for the following movement, just as diminishing the impact of parameter changes. The proposed adaptive PID controller model has done by MATLAB/SIMULINK.

23. An Energy Management Scheme for Grid Connected EVs Charging Stations

This paper presents a new energy management scheme for charging stations that reduces the load demand as well as load fluctuations on main distribution grid. The increasing use of electrical vehicles (EVs) and hybrid EVs raises the need for more charging stations. An increase in the number of charging stations increases the power demand to a high rate.

This causes an extra burden on the main supporting grid. And most importantly increases the load fluctuations onto the main distribution grid. In this novel control scheme, the different charging stations take the constant power from the grid throughout their operation and acts as a constant load. The two-layer control scheme is used to improve the reliability of overall system in case of grid or any other charging stations failure.

The charging stations consist of renewable sources like photovoltaic, wind, etc which helps in reducing greenhouse gases as well as the operational cost of charging stations. The simulation studies are carried out for the proposed control algorithm in a MATLAB Simulink environment and in the real-time simulator (OPAL-RT).

22. An isolated single-switch high step-up DC/DC converter with a three-winding transformer for solar photovoltaic applications

An isolated single-switch high step-up DC/DC converter for solar photovoltaic applications is presented in this paper. The proposed isolated converter consists of a single switch, two voltage doubler circuits, and a three-winding transformer. The four capacitors in the voltage doubler circuits are charged in parallel and are discharged in series by the secondary and tertiary winding of the three-winding transformer to attain a high step-up voltage gain.

In addition, the voltage doubler circuits absorb energy in parallel, which, in turn, significantly alleviates the voltage stress on the switch with a low turn ratio and low duty cycle. The converter operation principle and steady-state analysis of the isolated high gain converter for continuous conduction mode are presented in detail. Laboratory tests and simulations using MATLAB/Simulink are carried out with a prototype of an 80 W converter. The predicted and test results establish a close agreement between the validity of the analysis and the viability of the proposed circuit.

21. Application Study of Fuzzy PID Control with S-function on Automotive ABS

In order to research the effect of fuzzy PID control with S-function on automotive ABS, the dynamic braking model of 114 vehicles and the fuzzy PID controller with S-function were established on the basis of automotive ABS structure, principle, and control process. Using this controller, the braking process of automotive ABS was simulated in Matlab/Simulink environment.

The simulation results were analyzed and compared with the conventional fuzzy PID controller’s effect. The result of analysis and comparison shows that the automotive ABS under the fuzzy PID control with S-function can make the braking distance shorter in comparison with the conventional fuzzy PID control, and the control parameters have obvious convergence.

However automotive ABS using the fuzzy PID control based on S-function has obvious brake judder in the later braking period, at the same time the divergence of control parameters increases evidently.

20. Bidirectional Battery Charger for Electric Vehicle

An increase in electric vehicle mobility has encouraged the growth of vehicle-to-grid technology. Vehicle-to-grid technology allows bidirectional power flow between the battery of the electric vehicle and the power grid. This allows peak load shaving, load leveling, voltage regulation, and improvements of power system stability.

Implementation of the vehicle to grid technology requires a dedicated electric vehicle battery charger, which allows bidirectional power flow between the power grid and electric vehicle battery. In this paper, a new control strategy for a bidirectional battery charger is proposed. The proposed control strategy can charge and discharge an electric vehicle battery in both slow and fast mode.

The performance of the bidirectional controller is verified by simulation in PSCAD/EMTDC software under different operating modes, which include fast charging, fast discharging, slow charging, and slow discharging. The results show that the proposed control strategy performs well in all four modes.

19. Comparative Strategies of Control for Regenerative Braking in Electric Vehicles

This paper approaches an analysis of the maximum torque control distribution of an electric vehicle for an induction machine with traction on the two front wheels. The comparison is based on control strategies between scalar control and direct torque control with space vector modulation (DTC-SVM) during decelerations. The strategies focus on critical braking where the combination of regenerative and mechanical braking is necessary to obtain a short distance and recovered energy. The work is simulated on Simulink/Matlab.

18. Design and Development of Solar Power Hybrid Electric Vehicles Charging Station

In this paper design and development of a Hybrid charging station for electric vehicles is discussed. The charging station is powered by a combination of solar power and grid power. The system works in an integrated way to optimize energy use from the grid. The system will take the power from solar arrays and directly charge the EV when solar energy is available.

When solar energy is not available the system will be powered by the grid. In addition, the system will also deliver the solar power to the grid when solar power is available but there is no EV is connected to the charging system. In this mode, the charging station will work as a grid-connected solar power plant.

Generally, a transformer is used for feeding the low voltage solar power to the grid, whereas in this work a advanced high gain boost converter is used to eliminate the transformer. This modification considerably reduces the overall system cost and size. Extensive simulation results are present in this paper to establish the effectiveness of the developed hybrid charging stations.

17. Design and development of Truncated Angle Variant (TAV) controller for multi-source-fed BLDC motor drive

In electric vehicles (EVs), the major role of the BLDC motor is controlling the speed of a vehicle and effective braking. This can be achieved by reducing the torque and managing the current flow in the motor. In recent researches, current-controlling methods in BLDC give a better way of controlling the speed of a motor. This research work focuses on the design of the speed control system.

In this, EV is run by the battery connected with the photovoltaic (PV) system. The proposed work optimally controls the switching devices to manage power for the BLDC motor. This extracts the properties of the PV system with feedback signals of the bidirectional converter and motor terminals to evaluate the energy transfer level to EV. This can also reduce the decaying effect of the battery, which is connected parallel to the converter.

Since the proposed controller truncates the error signal with varying angle of vector quadrant named as Truncated Angle Variant (TAV) controller, this can also monitor the accelerator frequency that refers to the required speed of the BLDC motor. The experimental result shows the performance of the proposed TAV-based controlling technique and the comparison of parameters with state-of-the-art methods is also made.

16. Dynamic Simulation of Induction Motor Drive Using Artificial Intelligent Controller

In industries, more than 85 % of the motors are Induction Motors, because of the low maintenance and robustness. Maximum torque and efficiency are obtained by the speed control of the induction motor. Using Artificial Intelligence (AI) techniques, particularly the neural networks, performance & operation of induction motor drives is improved.

This paper presents a dynamic simulation of induction motor drive using a neuro controller. The integrated environment allows users to compare simulation results between conventional, Fuzzy, and Neural network controllers (NNW). The performance of fuzzy logic and artificial neural network-based controllers are compared with that of the conventional proportional-integral controller.

The dynamic Modelling and Simulation of the Induction motor is done using MATLAB/SIMULINK and the dynamic performance of the induction motor drive has been analyzed for an artificial intelligent controller.

15. Controllable Electric Vehicle Fast Charging Approach Based On Multi-Stage Charging Current Mythology

This paper expresses a developed Electric Vehicle (EV) fast-charging control system based on multi-stage charging current methodology. The controller does not require a current sensor or any compensation circuit as in the current mode control (CMC) and the voltage mode control (VMC). The proposed controller drives the EV charging current to a predetermined value throughout an enhancement in the closed-loop feedback controller based on the duty cycle.

A required duty cycle is anticipated through the design and analysis of the switched-mode DC-DC parasitic buck-boost converter supplied from Renewable Energy Sources (RESs) and has been represented as a variable DC supply. In this paper, the validity of the proposed controller has been studied by three main scenarios using the MATLAB/Simulink computer program. The scenarios proved the fast speed response and accuracy of the investigated controller.

14. Evaluation of Wind Turbine Characteristics Built-in Model in Matlab Simulink

Due to growing concerns over climate change, more and more countries are looking to renewable energy sources to generate electricity. Therefore, wind turbines are increasing in popularity. The amount of mechanical power that can be extracted from the wind by a turbine rotor depends on the characteristics of the wind turbine.

Furthermore, the aim of the characteristics of any wind turbine is to provide an expectation of how to design the generator’s control system in order to track these characteristics and extract maximum power from the wind. The characteristics of wind turbines are the focus of this paper. A new wind turbine characteristics methodology is proposed and summarized in a new flowchart.

A Matlab program was written to evaluate the performance coefficient of a wind turbines. Unlike the conventional simulations which use the wind turbine block in the MATLAB /SIMULINK library, a drive train model and aerodynamic model have been supplemented to get the characteristics of wind turbines.

13. Experimental studies and performance evaluation of Solar PV powered BLDC motor drive with an integrated MPPT in fan applications

Power converters operating from solar PV array are typically operated in maximum power extraction mode, by the use of MPPT algorithms. Besides MPPT, buffering needs between PV and loads may require battery storage as well. Storage is expensive and also requires periodic maintenance and replacement.

In this work, solar PV-powered BLDC fans are developed without the use of storage and studied for their suitability for daytime use in offices, schools, colleges. Two modes of operation are devised for the operation of the fan- MPPT mode and the Speed Regulation (SR) model. In order to keep the cost of the fan low, the optimal MPPT strategy to be used is determined from simulations.

Hardware implementation is carried out to determine the actual operation of the system with respect to daily solar irradiation changes. From the experimental results it is seen the energy-efficient operation of BLDC motor drive, compared to single-phase AC motor-driven fan are achieved while keeping the scheme simple and cost low.

12. Fuzzy Based Power Factor Correction For BLDC Motor Using Hybrid Inverter

Power factor correction (PFC) provides familiar benefits to avoid poor power factor consequences and to reduce bill value. Passive and Active power factor correction are the two methods currently using power factor correction techniques. This thesis tries to develop an inverter with implemented energetic power factor correction approach to improvement of the electricity issue.

The MATLAB software program is used to design Fuzzy common sense to control energy thing on BLDC Motor by using modern-day and voltage source inverter from single-phase rectifier. The combination of current and voltage source inverter is known as a Hybrid inverter. This methodology integrates the concept of fuzzy logic and hybrid inverter for controlling the output voltage of DC-AC inverter and also trying to improve the efficiency of the hybrid inverter through the transient operation.

In this planned model, a hybrid inverter is used for active PFC and current and voltage parameter having advantages of being physically isolated structure, can function as both steps up and step down hybrid inverter and having only one step processing for current, voltage regulation, and PFC. A version for strength factor Correction can be carried out the usage of
the MATLAB software program.

11. Implementation Of Grid Connected Wind Driven Induction Generator From MATLAB / Simulink To Real-Tim

Since the mid-twentieth century, simulation tools are widely employed for the design and improvement of electrical systems. Nowadays, most researchers want to develop and implement their model in a real-time platform. In this paper, therefore, an advanced distributed real-time simulator traditionally called as Real-TimeqLaboratory (RT-LAB) is employed to implement a wind energy systems (WES).

Firstly, a simple grid-connected WES model is developed in MATLAB/Simulink® according to the operating requirements of RT-LAB. This model is then transformed to be suitable for real-time operation mode in an RT-LAB environment. Finally, the real-time simulation results obtained for WES are presented and analyzed.

10. Integration of Electric Vehicle and Renewable Generation to Improve the Power Quality Problems in Distribution System

The most important power quality impact of electric vehicle and renewable generation are variability and uncertainty of renewable generation and this problem can be overcome by using the integration of Electric-Vehicles (EVs) and Renewable Energy Sources (RESs) into the electric power system. To overcome these drawbacks and enhance the security and reliability levels of renewable energy sources along with their interconnected networks.

Hybrid renewable energy sources comprising of two or more energy conversion methods are acquired. Integration of plug-in electric vehicles (PEV) and renewable energy sources in power systems is used to minimize the cost of grid operation. To mitigate the variability of renewable energy sources and reduce the cost of grid operation, the storage capability of PEVs could help power systems.

09. Interleaved bidirectional DC-DC converter for electric vehicle applications based on multiple energy storage devices

Hybrid electric vehicles (HEVs) and pure electric vehicles (EVs) rely on energy storage devices (ESDs) and power electronic converters, where efficient energy management is essential. In this context, this work addresses a possible EV configuration based on supercapacitors (SCs) and batteries to provide reliable and fast energy transfer.

Power flow among the aforementioned energy sources and the EV occurs through a dc link associated with an interleaved bidirectional dc-dc converter. This topology presents low component count and high efficiency over a wide load range, consisting of an adequate choice for high-power, high-current levels. A detailed design methodology is presented, which comprises the qualitative and quantitative analysis of the converter and the control system implementation using a simple strategy, i.e., average current mode control.

A 2 kW laboratory prototype of the converter using microcontroller dsPIC30f4011 by Microchip is implemented and the system performance is evaluated in terms of some key waveforms. High power density, low component count, and increased robustness can be stated as the main advantages of the proposed approach, which can be considered as a viable alternative for practical EV applications.

08. MATLAB/Simulink-Based Electromagnetic Transient-Transient Stability Hybrid Simulation for Electric Power Systems with Converter Interfaced Generation

This paper introduces a Hybrid Electromagnetic Transient (EMT)-Transient Stability (TS) simulation method implemented in the MATLAB/Simulink environment for modeling and simulation of power electronic-based power systems. The hybrid simulation technique suitably captures the accuracy of EMT simulation and efficiency of TS simulation, therefore adequately representing the behavior of power systems with high penetration of converter interfaced generation.

In order to foster the interaction between the EMT and TS simulation in MATLAB/Simulink, an interface algorithm is designed. A case study has been carried out based on the IEEE 9-bus system, which is modified to integrate a solar PV plant. The simulation performance of the hybrid model is evaluated and compared with the benchmark full EMT model, in terms of accuracy and efficiency. The study results demonstrate the competence of the presented hybrid simulation technique.

07. Modeling of Energy Meter Using MATLAB/Simulink

This paper presents the simulation of an energy meter to measure electric parameters like active power, reactive power, power factor, and energy consumption. An energy meter is a device that plays an important role in order to measure the energy consumption of each consumer’s house. Therefore, the purpose of this project is to design and analyze the performance of a three-phase system modeling energy meter.

Different types of loads including Resistive Load (R load), Resistive-Inductive (R-L load) and Resistive-Capacitive Load (R-C load) have been studied to analyze the performance of the energy meter. In this project, the modeling of the energy meter was designed by using MATLAB / Simulink Software.

This energy meter modeling consists of voltage block, current block, load block, power factor block, and energy measurement block. The results obtained in the simulation can be seen in details in this paper. The result between the simulation and calculated load shows that the energy meter system is high accuracy and efficiency.

06. Modeling of Hybrid Electric Vehicle Charger and Study the Simulation Results

The Plug-in Hybrid Electric Vehicles are driven by the energy stored in the battery. Through conductive AC charging method, Electric vehicle supply equipment (EVSE) is connected to Electric vehicle(EV) for charging the battery. Apart from charging it can also help in creating trustworthy equipment ground track and exchange control data among EV and EVSE.

This paper discusses electrical and physical interface between EV and EVSE to facilitate conductive charging and design of an on-board charger for fast charging of the hybrid electric vehicle. The aim of this project is to design interfacing system between EV and EVSE as per automotive industry standard and to design a prototype of a 3.45 kW onboard charger using Matlab software. By modelling the charger, charging of Li-ion battery can be done which is used for providing propulsion torque and through various stages of charger voltage and current level is controlled and make them desired for charging.

05. Regenerative Braking of BLDC Motor using Fuzzy Control for Electric Vehicles

This paper refers to an effective model using MATLAB Simulink for the Regenerative Braking of a BLDC motor for an Electric Vehicle. In this method, the inverter which is used to drive the motor alone is used. The back EMF of the motor during regeneration will be less than the battery voltage even if the brake is applied while the vehicle is running at its highest speed.

So the regenerated energy has to be boosted. This can be attained by controlling the switching of the lower switches of the inverter with the help of PWM switching. This boosted energy can be accumulated to the battery or supercapacitor or both. Here battery-supercapacitor energy storage is used. Thus by using electric braking smooth braking is made possible also the driving range can be increased, since batteries are getting charged with the regenerated energy. The simulation is done by using MATLAB/Simulink.

04. Simulation of Regenerative Braking in DC Railway System Based on MATLAB/Simulink

This paper presents a simulation of regenerative braking in the DC railway system. The model of DC locomotive with a DC-AC PWM converter has been proposed which is according to Beijing No.5 Line Subway train. Based on the data of a practical train, this paper has made the calculation of regenerative braking currents. The calculation has verified the correctness of the simulation model.

03. Solar Water Pumping System Modelling and Analysis using MATLAB/Simulink

Solar photovoltaic (PV) based water pumping systems provide an appropriate substitute to the traditional water pumps based on electricity and diesel because of their low cost and eco-friendly nature. These systems are very suitable for remote locations with no access to the electricity grid. The output of solar PV systems varies with varying external conditions like solar irradiance and temperature.

In this work, a MATLAB/Simulink-based study of a solar-powered water pumping system with a permanent magnet DC motor driving a centrifugal pump has been done. Perturb and observe (P&O) maximum power point tracking algorithm has been implemented to regulate the duty cycle of a DC-DC boost converter. The Simulink model has been tested for three conditions (i.e. under standard test condition (STC), varying solar irradiance, and partial shading condition).

02. Two designs for the DC-DC stage of electric vehicle charging stations

Pulse-voltage and pulse-current methods are widely used in advanced battery charging systems because they enhance the overall charging process and prolong the battery lifetime. This paper proposes two battery charging systems for an electric vehicle charging station based on these methods. The first design is a developed version of a studied non-dissipative pulse current DC-DC stage in which the negative pulse current is generated by a current recirculating block.

It employs a precisely designed control system to charge and discharge electric vehicles in a wide range of voltage levels. The second design is a pulse-voltage DC-DC stage suggested for high-power applications for the first time based on power electronics circuits. It also attenuates the sudden battery power changes caused by the pulse voltage method. The two designs have been accurately formulated. The practical results with the frequency responses confirm that the two designs work well and have fewer output power changes compared to the recent relevant works.

01. UPQC-based Grid-Connected Photovoltaic System with Fuzzy Logic Controller

In this Paper, a Photovoltaic Generator (PVG) based Unified Power Line Conditioner (UPQC) using a Fuzzy Logic Controller in a three-phase system has been discussed. The aim of the mentioned work is to deliver compensation to the grid during severe light as well as during the dark time. A novel control algorithm has been developed and lucidly presented in this manuscript with supportive results and discussions after comparing it with the traditional method.

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