Journal of Majlesi Journal of Mechatronic Systems
Volume:10 Issue: 1, Mar 2021

In this work, we are interested in the study of a number of electric motors inserted in a robotic chain. The study will be carried out in particular for the DC motor designed to drive a manipulator robot with two degrees of freedom. Thus, after modeling the robot assembly equipped with the machines, and developing the control algorithms, we simulate the control of this manipulator robot. After having obtained the simulation results, and to confirm the capacity of the chosen control of the system studied, a robustness test was carried out and the results are very satisfied.

With the entry of microgrid systemsinto the industry, the traditional protection system has faced many challenges, connection and outageof the power grid from microgrid systems lead to the grid parameterschanges. traditional protection systems Data are traditionally predicted and used before operation. Here, the adaptive protection plan is introduced. while identifying the problems of using microgrids. Adaptive protection tends to predict the protection of electrical and microgrid networks for different work modes and by using a protection management center, protection system data transfer to the system with the network conditions. In this work, Razi Petrochemical Electricity Network and its power plant have been introduced as an industrial microgrid, then simulations are performed in Digsilent software. The interaction of the microgrid and the main network negative effects on the traditional protection system have been investigated and identified. Finally,the Utilization of adaptive protection plan and protection layers is defined and dual protection relay settings are recommended for optimal operation of this plant.

An electrocardiogram (ECG) signal is one of the most important non-invasive tools for diagnosing cardiac arrhythmias. This article is about the automatic classification of arrhythmias and premature ventricular arrhythmias (PVC). QRS detection is performed using the Pan Tompkins algorithm. Heart beat is identified by three consecutive RR characteristics related to the current heartbeat, the previous heartbeat, and the next heartbeat. Classification is performed based on the percentage of the desired heart beat in order to identify patients with significant risk factors. Multi-class support vector machine (SVM) with one-to-one (OAO) approach is used to classify type of arrhythmias. The measured data were extracted from the MIT-BIH database. The proposed method has an accuracy of 97.92 and 95.83 for heart beat arrhythmia, PVC arrhythmia detection and a total accuracy of 96.87, respectively

In this paper, design and simulation of a multi-ring disc microscope for use in positioning and navigation applications of mobile devices is reported.This microgyroscope is based on MEMS technology and is fully compatible with the manufacturing processes of microelectromechanical systems.In this paper, the output frequency response of a vibrating gyroscope based on a multi-ringdisc resonator in four different designs is analyzed using COMSOL Multiphysics software.The aim of this study was to improve the frequency response of multi-ringmicroelectromechanical (DRG) disk vibration resonator.First, three different structures were analyzed and then according to the obtained results and by comparing them, the fourth plan is proposed to improve and upgrade the structure.In this study, using a 5-ring resonatorwith an output resonant frequency in the range of 130 kHz to 250 kHz, the minimum frequency difference between two elliptical modes of 214 Hz was obtained. The lower the resonant frequency and the distance between the two resonant peaks of the resonant frequency, the higher the sensitivity of the gyroscope and thus the speed and accuracy of the gyroscope. The simulation results show that the resonator designed with more rings has a resonant frequency and the distance between the two resonance peaks is lower, which indicates its higher sensitivity, accuracy and quality factor.

Boilerisone of the most important components of steam power plants responsible for producing the steam needed for the turbine. Boiler is a complex multi-input multi-output time delay system. The purpose of boiler control is to maintain its output at a certain optimum level despite its sensitivities.To control the boiler needs to be modelled and identified. The modelling used in this paper is considering inputsincluding fuel flow rate, air flow rate, feed water flow rate and three outputs including steam pressure, oxygen gas flow rate and temperature.Various controllers are designed for the boiler, each with its shortcomings and advantages. In this paper, linear, nonlinear, robust and multivariate control methods are used and finally they are compared.PID controller is designed with the purpose of eliminating noise effects and adjustment point tracking, nonlinear sliding mode controller, Smith predictor control, Sequential Loop Closing (SLC) method with studying interaction effect. Simulations in MATLAB and the effectiveness of the proposed controller have been shown.

Today, helicopters are widely used in various industries, including aviation and the military. Therefore, control and guidance of this device is of great importance. A 2-degree laboratory freedom helicopter is used to study small-scale helicopters. This device has much simpler dynamics and various experiments can be performed to check and control its condition. Based on these experiments, studies can be performed on more complex large-scale helicopter systems. In this research, while briefly introducing the 2_degree freedom helicopter, an appropriate controller is designed to improve its performance.The designed controller must be able to maintain its stabilityin tracking the inputs applied to it as a reference input, in the presence of external disturbances such as wind. Also, in case of uncertainty in system parameters such as weight changes, it should remain stable and track the applied inputs well.The controller designed in this study includes sliding mode control in which a neural network is used. In order to improve the results of the particle swarm optimization algorithm is used to determine the slip control parameters.