scholarly journals Modeling and Control of a Multi-Machine Traction System Connected in Series using Two Static Converter

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Selimane MEGUENNI ◽  
Abedelkhader. DJAHBAR
Keyword(s):  
Modeling And Control ◽  
In Series ◽  
Traction System ◽  
And Control

Modeling and Control of Wheel Motor Based Articulated Vehicle System

2019 ◽  
Author(s):  
Heeseong Kim ◽  
Taehyun Shim ◽  
Byungjun Sung
Keyword(s):  
Control System ◽  
Dynamic Control ◽  
Modeling And Control ◽  
Yaw Control ◽  
Articulated Vehicle ◽  
Vehicle Systems ◽  
Vehicle Dynamic Control ◽  
And Performance ◽  
Traction System ◽  
And Control

Abstract This paper investigates an effectiveness of vehicle dynamic control (VDC) system based on torque vectoring technique using in-wheel-motors to improve the performance of articulated vehicle systems. A 10 degree-of-freedom (DOF) articulated vehicle model including a tractor and a single axle trailer has been developed and its responses are validated with commercial vehicle software of Trucksim. This model includes a nonlinear tire model (MF tire), a hydraulic damping at the hitch, and a traction system using in-wheel-motors at the trailer axle. In this paper, a yaw control system is developed to track the reference yaw rate with application of yaw moment at the trailer axle using torque distribution of in-wheel-motors. The effectiveness of the proposed control system is validated through simulation of sinusoidal steering maneuver on high mu and slippery road conditions. The simulation results show that in-wheel-motors can improve safety and performance of articulate vehicle systems.

Modeling and Control of Four-bar Mechanism with Series Elastic Actuators

2020 ◽  
Author(s):  
Felipe R. Lopes ◽  
Marco A. Meggiolaro
Keyword(s):  
Human Interaction ◽  
Robotic Manipulation ◽  
Modeling And Control ◽  
Lqr Control ◽  
In Series ◽  
Flexible Behavior ◽  
Series Elastic Actuators ◽  
New Generation ◽  
And Control ◽  
Series Elastic

A new generation of robots that work in cooperation with humans (called collaborative robots) needs some flexibility to adapt to the environment and activities with people. That is why the Series Elastic Actuator (SEA) has been a breakthrough in actuator technologies. The idea of inserting an elastic element in series with a motor allows a lower output impedance, consequently a flexible behavior in the manipulator, in addition to providing torque feedback to better compensate disturbances caused e.g. by friction losses. This article presents a four-bar mechanism with SEA for the purpose of robotic manipulation. Its kinematics and dynamicsare studied, as well as its regulation and trajectory control. The behavior of the decoupled four-bar mechanism and the characteristics of the SEA are also analyzed. Then the regulation control of the complete system is carried out using LQR control. Finally, a circular trajectory is controlled in a simulation to validate the proposed control strategy. The simulation results show the effectiveness of the proposed controller for the mechanism in the presence of SEAs estimating torque and providing the desired compliance for human interaction.

scholarly journals Modeling and control of two five-phase induction machines connected in series powered by matrix converter

2021 ◽  
Vol 12 (2) ◽  
pp. 685
Author(s):  
Mohamed Nekkaz ◽  
Abdelkader Djahbar ◽  
Rachid Taleb
Keyword(s):  
Induction Machines ◽  
Matrix Converter ◽  
Drive System ◽  
Modeling And Control ◽  
Input Side ◽  
In Series ◽  
Decoupled Control ◽  
Simulation Results ◽  
Five Phases ◽  
And Control

The two five-phase Induction Motor (IM) drive system that is serially connected is available in literature. The power supply of such system is considered as a matrix converter (a direct AC to AC converter system) by three and five-phases outputs. The main benefit from the drive topology is the sinusoidal source as a side current with a controllable input side power factor. The decoupled control is achieved similarly to the inverter based drive system. In this paper; the decoupled control of two five-phase induction machines serially connected and powered by a five-phase matrix converter as well as analytical and simulation results are presented.

Modeling and Control for Plant Dynamics Based on Reinforcement Learning

2009 ◽  
Vol 129 (4) ◽  
pp. 363-367
Author(s):  
Tomoyuki Maeda ◽  
Makishi Nakayama ◽  
Hiroshi Narazaki ◽  
Akira Kitamura
Keyword(s):  
Reinforcement Learning ◽  
Modeling And Control ◽  
Plant Dynamics ◽  
And Control
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