IMPROVED ALGORITHM OF ELECTROMAGNETIC VIBRATION DRIVE SYSTEM CONTROL

2018 ◽  
Vol 2 (42) ◽  
pp. 23-29
Author(s):  
O. Cherno ◽  
◽  
A. Hurov ◽  
Keyword(s):  
Drive System ◽  
System Control ◽  
Electromagnetic Vibration ◽  
Improved Algorithm

scholarly journals INTELLIGENT CONTROL OF ELECTRICAL DRIVE SYSTEM USED FOR ELECTRIC VEHICLES

2018 ◽  
Vol 18 (1) ◽  
pp. 5-10
Author(s):  
Helga Silaghi ◽  
Maria Gamcova ◽  
Andrei Marius Silaghi ◽  
Viorica Spoială ◽  
Alexandru Marius Silaghi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Control System ◽  
Intelligent Control ◽  
Drive System ◽  
System Control ◽  
Logic Control ◽  
Electrical Vehicles ◽  
Classical Control ◽  
The Mathematical Model

Abstract An electric vehicle (EV) uses an electric motor for traction and chemical batteries, superconductors, combustion cells and / or inertial masses as energy sources. To avoid problems regarding the accuracy of the mathematical model of the system, the use of artificial intelligence in electric drives is a viable alternative. Among other advantages of using artificial intelligence in the electric drive system, it can be emphasized that its application reduces the design time and leads to avoiding problems with the introduction of the mathematical model in the system control algorithm. This paper presents several case studies of electrical vehicles and some considerations about intelligent control of EVs. Finally some experimental results that compare classical control system with fuzzy logic control system for EV are presented.

scholarly journals Analysis of city buses operation

2009 ◽  
Vol 57 (5) ◽  
pp. 235-242
Author(s):  
Luboš Papírník
Keyword(s):  
Energy Balance ◽  
Energy Savings ◽  
Drive System ◽  
System Control ◽  
Hybrid Drive ◽  
Driver Behaviour ◽  
Control Units ◽  
Bus Driver ◽  
Correct Design

This paper deals with analysis of city buses operation. This analysis is focused on the energy balance of propulsion system of these buses. The energy balance gives an overview about necessary amount of energy for city buses in pure city operation. The operation of city buses is divided for this analysis into three basic modes: stop state, drive and deceleration. The fleet of the same 19 city buses was chosen for collection of all operation data. These city buses are located in one city. The buses were changing all bus routes and were driven by all bus drivers. These conditions are necessary for elimination of bus route topology and bus driver behaviour. The required operation data were saved into engines and transmissions control units. The saved data were uploaded from control units for data processing. The aim of the analysis is determination of the energy for each drive mode. The energy for individual mode gives an overview about possible energy savings when hybrid drive system is used for these buses. The energy balance is groundwork for correct design of hybrid drive system and for hybrid drive system control.

scholarly journals Load balance control method of multi electromechanical transmission system based on dynamic programming

2021 ◽  
Vol 2085 (1) ◽  
pp. 012005
Author(s):  
Liping Zhou
Keyword(s):  
Dynamic Programming ◽  
Load Balance ◽  
Control Method ◽  
Balance Control ◽  
Order Effect ◽  
Correction Method ◽  
Transmission System ◽  
Drive System ◽  
System Control ◽  
Field Orientation

Abstract Controlling the load balance of multi electromechanical transmission system is the core and difficulty of metro vehicles. In order to effectively control the load of multi electromechanical transmission system and ensure the load balance of multi electromechanical transmission system. A load balancing control method of multi electromechanical transmission system based on dynamic programming is proposed. By designing the structure of the transmission system filter, the low DC resonant frequency of the inverter is maintained and the grid harmonics with higher order effect are suppressed. The rotor field oriented correction method based on dynamic programming can improve the torque performance of traction electric drive system, control the DC side active damping oscillation, and realize the load balance control of multi electromechanical drive system. The simulation results show that the proposed method avoids the wrong rise of multi electromechanical voltage and the saturation of regulator output caused by inaccurate magnetic field orientation, can effectively control the load of multi electromechanical transmission system, ensure the load balance of multi electromechanical transmission system, and provide an effective reference for the load balance control of multi electromechanical transmission system.

scholarly journals Advanced optimal by PSO-PI for DC motor

2019 ◽  
Vol 16 (1) ◽  
pp. 165 ◽  
Author(s):  
Salam Waley Jeaeb ◽  
Abbas Zghair Salman ◽  
Qusay A. Jawad ◽  
Haider Shareef
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Fuzzy Logic Controller ◽  
System Simulation ◽  
Dynamic Performance ◽  
Dc Motor ◽  
Drive System ◽  
System Control ◽  
And Control ◽  
Day By Day

<p>Interest in the drive system which used in many applications is increasing day by day. So, many researchers have focused on the analyses, design and control of these systems. In this study, Optimal for Dc motor in drive system control strategy has been proposed for PSO-PI and fuzzy logic controller (FLC) based Dc motor in drive system. In order to test dynamic performance of PSO-PI based drive System, simulation study was carried out by MATLAB/Simulink. The results obtained from the PSO-PI based drive system are not only superior in the rise time, settling time and overshoot but can prevent from voltage and has improved power quality. </p>

Sign in / Sign up

Export Citation Format

Share Document