فهرست مطالب hamid balouchestani

In this paper, a rotor position estimation algorithm based on sliding mode observer (SMO) and phase-locked loop (PLL) for permanent magnet synchronous motor (PMSM) control in STM32L431RCT6 microcontroller is presented. The proposed SMO and PLL-based observer has two advantages compared to the conventional SMO observer: reducing the undesirable phenomenon of chattering and improving the accuracy of rotor position estimation. In this research, a hybrid sensorless control system for PMSM drive has been designed, using the I-f startup method and a smooth transition to sensorless closed-loop vector control with SMO and PLL. C programming language is used to implement field vector control, phase-locked loop, sliding mode observer, proportional-integral controllers, space vector pulse width modulation, and coordinate transformations. The proposed method is implemented using STM32 family 32-bit microcontrollers. In the following, the presented laboratory results show the desirable performance of the proposed observer.

As radar technology advances, training operators to effectively analyze and respond to potential threats is critical. This research presents a PPI radar display simulator implemented using C# and WPF platform. This simulator integrates a neural network powered by the Encog library with a radar display to predict attack locations and future trajectories of simulated targets. The implemented neural network has a four-layer architecture that allows operators to adjust multiple network parameters to suit their needs. With the ability to change training data through Excel files, this simulator has increased interaction with the user, and it is also possible to add or remove target locations. This allows for more realistic scenarios. The implemented simulator allows the operators of Khatam al-Anbia Air Defense University to strengthen their skills in radar data analysis and familiarize themselves with a comprehensive and advanced learning environment of new generation radar displays equipped with neural network technology.