This study describes the direct torque control-DTC approach, based on Sliding Mode Control (SMC) technology with chattering reduction, for reducing ripple of Switched Reluctance Motor (SRM). The SRM control loop has been given SMC treatment to account low-frequency fluctuations in output. To maintain a consistent motor speed, sliding mode controller modifies value reference current. findings demonstrate that constant is superior PI controllers at lowering motor's ripple, compensating its...

This study provides simulation and experimental results on techniques for avoiding static dynamic obstacles using a deep Q-learning (DQL) reinforcement learning algorithm two-wheel mobile robot with independent control. method integrates the (QL) neural network, where networks in DQL act as approximators Q matrix table each pair (state–action). The effectiveness of proposed solution was confirmed through simulations, programming, practical experimentation. A comparison drawn between QL...

The structure and principle of the T-type 3-level reverse voltage source that will be fed to three-phase induction motors presented in this study. implementation Space Vector Pulse Width Modulation (SVPWM) math models motor, stator currents, speed controller design electric traction drive system based on Field-Oriented Control (FOC) also shown. This three-level inverter FOC decreases Total Harmonic Distortion (THD) more than previous two-level inverters. By combining control with inverter,...

This paper presents three regression models that predict the lithium-ion battery life for electric cars based on a supervised machine learning algorithm. The linear regression, bagging regressor, and random forest regressor will be compared capacity prediction of batteries voltage-dependent per-cell modeling. When sufficient test data are available, algorithms train this model to give promising result. effectiveness demonstrated experimentally. experiment table system is built with an NVIDIA...

This study introduces a torque distribution control system for three-disc axial flux permanent magnet synchronous motor (AFPMSM) using genetic algorithmoptimized back-propagation neural network (BP_ANN_GA) and an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based control. These controllers enhance accuracy, reduce energy losses, improve sta-and performance, meet the demands of modern EVs by advancing efficient transmission technology. The BP_ANN_GA controller predicts (Tm1, Tm2, Tm3) based...

Ball-on-Plate (BoP) is developing a ball-and-beam system. This transformation transforms single input-multi output (SIMO) system into multi (MIMO) under-actuated In this paper, we utilize the PID method—a popular linear control method in industry and academia—to track trajectory for BoP. system's self-made hardware presented to test through an experiment. shown well real-time

Abstract: This study introduces a torque distribution control system for three-disc axial flux permanent magnet synchronous motor (AFPMSM) using genetic algorithm-optimized back-propagation neural network (BP_ANN_GA) and an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based control. These controllers enhance accuracy, reduce energy losses, improve stability performance, meet the demands of modern EVs by advancing efficient transmission technology. The BP_ANN_GA controller predicts (Tm1,...

This study presents a machine learning-based framework to predict daily work productivity based on nutrition and lifestyle data collected from 310 Vietnamese employees. Four 4,000 observations were used train evaluate three models: Random Forest, XGBoost, Multi-layer Perceptron (MLP). Among them, the XGBoost model optimised with Optuna achieved best performance RMSE = 2.9, MAE 2.5, R² ≈ 0.92. Feature importance analysis revealed that protein intake, caloric consumption, physical activity...

Introduction: The increasing complexity of urban infrastructure poses challenges for efficient and sustainable municipal waste management. This paper presents a framework based on reinforcement learning (RL) real-time route planning in smart city collection systems. By integrating Iot-enabled bins with environmental data such as bin fill levels traffic, the approach frames routing task Markov Decision Process (MDP). It employs Q-learning Deep Q-Networks (DQN) to optimise navigation policies....

This paper presents the drive control of a Permanent Magnet Synchronous Motor (PMSM) fed by multi-level inverter for electric vehicle application. In particular, advantage torque mobilization PMSM engine has been selected cars. addition, to improve transmission quality vehicles ensure requirements, T-type three-level will be proposed in structure vehicles. Moreover, challenge entails determining appropriate physical qualities. Therefore, design an active damping and current controller...

The paper presents the development of a wind turbine emulator, which consists an induction motor driven by torque control inverter, and dead-beat controller plays important role in this structure. emulator system includes current controller, speed mathematical model turbines, rotor blade characteristics, tower effect inertia. advantages are various profiles turbines can be simulated as desired software it is also integrated data acquisition to verify algorithms display parameters....

This paper presents the control design of an in-wheel axial-flux permanent magnet synchronous motor with one stator and rotor, using a fuzzy logic controller for electric vehicles. In this controller, surgeon ambiguous inference file is built by two input vectors, current error derivative error. These variables include five membership functions: Negative Big (NB), Small (NS), Equal Zero (ZE), Positive (PS), (PB). The was implemented 5×5 matrix to meet required output voltage controller....

<p>This paper describes the design and simulation of a non-linear controller for two-mass system using induction motor basing on backstepping method. The aim is to control speed actual value load matching with reference motor, moreover, electrical drive’s respone ensuring “fast, accurate small overshoot” reducing resonance oscillations fed by voltage source inveter ideally performance stator current. Backstepping uses equations an linear dynamical system, Lyapunov analysis errors...

The article discusses experimental research on the navigation control of self-driving cars using predictive control. effectiveness solution lies in its ability to steer vehicle within lane and avoid collisions. Model Predictive Control (MPC) proves highly effective at speeds 1 meter per second, ensuring smooth position changes, quick setup, minimal steering angle deviations. This approach could enhance development autonomous vehicles. study lays groundwork for future progress Recognizing...

<p class="Abstract">Field oriented control (FOC) is widely used for high performance induction motor (IM) electrical drive systems. Typically, FOC uses linear controls and space vector modulation (SVM) to the fundamental components of stator voltages. This work shows that based on a fast precise inner current loop response one may flexibly employ different advanced methods, achieve outer loops (speed flux control). In this paper, novel approaches dead-beat scheme combining with exact...

The stator current control loop plays an important role in ensuring the quality of electric drives interm producing fast and adequate required torque. When controller provides ideal responses, speed design subsequently is charge improving system performances. Classical PID commonly used design, this paper presents comparative analysis using proportional integral predictive (PCC) field-oriented control-based induction motor drives, with rigidly coupled loads. experimental results show...

In practice, the applied control voltage for an induction motor drive system fed by a source inverter has limit depending on DC bus capacity. certain operations such as accelerating, might require excessively high value that cannot supply. This paper presents solution bounded input problem of flexibly combining hyperbolic tangent function in backstepping design procedure. addition, barrier Lyapunov is also employed to force speed tracking error defined value. The closed-loop stability...

This paper will present why choosing a 7-level reverse voltage source fed to three-phase induction motors the railway traction motor. In addition, this shows implementation of space vector pulse width modulation (SVPWM) and math model motor, stator currents, speed controller design electric drive system based on field-oriented control (FOC). By MATLAB/Simulink method, multi-level inverter in FOC structure reduces total harmonic distortion (THD) more than other inverters such as 3 5-level...

In an attempt to decrease the torque ripple of SRM motor in electric car application, direct control (DTC) approach, based on fuzzy logic controller (FLC), is described this research. The has two inputs: speed and error, which are utilized by loop. 49-rule set also controls FLC. results show that FLC reduces motor's more effectively than PI controllers. It makes drive insensitive parameter changes compensates for nonlinear characteristics SRM. Additionally, electromagnetic proposed uniform...

<p><span lang="EN-US">This paper presents the research, design, and manufacture of a robotic hand to control movement with glove. The moving glove-controlled is based on two main parts: mechanism circuit. glove unit includes an Arduino nRF24l01 microcontroller module five flex sensors for fingers. These are used collect data about curvature each finger. Then those will be received by sent module. hand's process that information servo motors so fingers moved. result this research...

In this paper, a new contact force control technique, based on the modified Takagi-Sugeno model and parallel distributed compensation concept is developed to suppress vibrations between pantograph catenary by regulating reference value, thereby achieving stable current collection. The proposed method uses simple standard PID fuzzy controllers. two controllers guarantee designed system's robust stability. Furthermore, simplified pantograph–catenary system model, comparative simulation results...

<p>This paper presents the design and control of an autonomous robot-automation guided vehicle (AGV) with a load 50 kg DC motor in theory experiment. This robot has function transporting tools equipment factory. is designed built system including hardware software. In which microcontroller type STM32F407VG selected to primary system. The AGV controlled move according required trajectory. A PID controller controls motor. moves precisely routes set At same time, good obstacle avoidance....