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• PID Controller Tuning Optimization with Genetic Algorithms for a Quadcopter

  1-7.

  Komal Khuwaja

  Noor-u-Zaman Lighari

  Ioan Constantin Tarca

  Radu Catalin Tarca

  Views:

  774

  This paper is focused on the dynamic of mathematical modeling, stability, nonlinear gain control by using Genetic algorithm, utilizing MATLAB tool of a quadcopter. Previously many researchers have been work on several linear controllers such as LQ method; sliding mode and classical PID are used to stabilize the Linear Model. Quadcopter has a nonlinear dynamics and unstable system. In order to maintain their stability, we use nonlinear gain controllers; classical PID controller provides linear gain controller rather than nonlinear gain controller; here we are using modified PID control to improve stability and accuracy. The stability is the state of being resistant to any change. The task is to maintain the quadcopter stability by improving the performance of a PID controller in
  term of time domain specification. The goal of PID controller design is to determine a set of gains: Kp, Ki, and Kd, so as to improve the transient response and steady state response of a system as: by reducing the overshoot; by shortening the settling time; by decrease the rise time of the system. Modified PID is the combination of classical PID in addition to Genetic Algorithm. Genetic algorithm consists of three steps: selection, crossover, and mutation. By using Genetic algorithm we correct the behavior of quadcopter.

• Modelling and Simulation of Stepper Motor For Position Control Using LabVIEW

  1-5.

  Ahmet Mehmet Karadeniz

  Malek Alkayyali

  Péter Tamás Szemes

  Views:

  1767

  This 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)

• Speed Control of Three Phase Induction Motor Using Scalar Method and PID Controller

  1-5.

  Aram Nasser

  Péter Tamás Szemes

  Views:

  247

  This 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.

• Sway Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller

  1-8.

  Şahin Yildirim

  Aysegul Gordebil

  Views:

  276

  This 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.

• Adaptive Backstepping Controller of PMLSM

  1-6.

  Maamar Yahiaoui

  I. Kh. Bousserhane

  Y. Saidi

  M. Serraoui

  Views:

  294

  In 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.

• Trajectory Control of Designed Experimental Mobile Robot

  1-5.

  Şahin Yildirim

  Berkay Eren

  Views:

  323

  Due 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.

• Brushless DC Motor Modeling Using Bond Graph Method and Control using LabVIEW: Speed control based calssical PID control

  1-5.

  Ammar Alsabbagh

  Péter Tamás Szemes

  Abdulkader Baki

  Views:

  266

  This 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.

• Forearm-attachable EMG-based Wireless Controller

  1-4.

  Tamás Bánfi

  Petra Aradi

  Views:

  125

  This paper presents the development process starting from a simple electronic module for amplification of EMG signals. During development the tasks to be solved were extended towards the creation of an EMG-base controller that eventually can be connected to a PC. Among the main goals were the simplicity and low cost of production. There are similar devices commercially available, but the main focus was on the whole process of design, testing, fabrication and the exploration of application areas. It was important to use medical recommendations. The device matches the suggestion of SENIAM, except for the resolution of A/D conversion, which is permissible due to the fact that it was not designed for medical purposes. The final version is capable of detecting and amplifying EMG signals, with the appropriate filtering and digitizing procedures for further processing. With the development of wireless communication capabilities, the device which can be attached to the forearm can be used as a USB HID device with a PC. A number of additional applications are also discussed, pointing out the fact that this piece of technology offers a wide range of possibilities.

• Development of an IoT Based Smart Meteorological Station & Horticultural Irrigation System’s Controller Using a Raspberry Pi Linux Server

  1-6.

  Zsombor Füleki

  Timotei István Erdei

  Attila Szántó

  Gusztáv Áron Sziki

  Géza Husi

  Views:

  142

  In my current project an IoT based device has been developed, the main function of which is to allow the control of its own flexible meteorological station and irrigation system. Besides the control computer, there are meteorological sensors attached, based on which we control our agricultural irrigation apparatus.

• Electric Vehicle Modeling and Simulation of Volkswagen Crafter with 2.0 TDI CR Diesel Engine: VW Vehicle 2020 Based PMSM Propulsion

  1-6

  Aminu Babangida

  Péter Tamás Szemes

  Views:

  431

  The 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.

• Industrial Robotics for ERP Controlled Smart Factories

  1-9.

  Ferenc Tajti

  Géza Szayer

  Bence Kovács

  Péter Korondi

  Views:

  283

  At product manufacturing the time-to-market factor, the profitability and the delivered value define the success of an enterprise. The increasing number of modules in Enterprise Resource Planning (ERP) programs is a facing problem, when there is a margin between the manufacturing cells and the ERP. Nowadays, the connection between the industrial machines and the ERP is an important requirement especially at automated warehouses and smart factories. Other concerns at manufacturing are the maintenance schedules of the machines, and flexible and easy reconfiguration of the production lines or the production cells. Information technology provides solutions and software environments to implement complex production supervisor ERPs at smart factories. At a production line or an automated warehouse several technical parameters and information can influence the planning of the resources at the enterprise, like maintenance, machine error, stockpile, product ID, defective product ratios, etc. When there is machine maintenance, the company needs to order the service parts, as well as schedule the service time and the stop of the production line. In case of a machine error, the system can estimate the length of the service time from error messages, and reorganize orders, transportation, or even maintenance schedules of other machines. Our plug and play type robot and industrial automation controller project gives a solution for these hardware demanding needs.

• Navigation of Differential Drive Mobile Robot on Predefined, Software Designed Path

  1-5.

  Áron Papp

  László Szilassy

  József Sárosi

  Views:

  162

  This paper will be presenting the process of mobile robot movement controlling, from the task of collecting sensor data until the problem of controlling data to the servo motor controllers. In details, the first part will show the mechanism of converting CAD data to routes, and the processing of the navigation data read from the sensors and calculated from former controlling commands. The second part will explain the processing of navigation data, the applying of the actual robot position and orientation on the predefined virtual path and the production of the controller's input variables. The Fuzzy controller and the rule base will be introduced in the third part.

• Simulation of PMSM Vector Control Using Multisim and LabVIEW

  1-7.

  Amro Mohamed Hafez Abdelrazek Khaled

  Péter Tamás Szemes

  Views:

  172

  This 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