Fuzzy Logic Control of the Marine Permanent Magnet Synchronous Propulsion Motor with Direct Torque Control System

2014 ◽  
Vol 889-890 ◽  
pp. 920-924
Author(s):  
Chun Yang Zhang ◽  
Jin Nan Zhang ◽  
Cai Qin Sun

As to the ripple problem of the direct torque control system of permanent magnet synchronous motor, this paper present a new method based on the fuzzy logic control. The new method replaces the traditional hysteresis torque controller by a fuzzy logic controller to realize the low ripple effect of the torque and the flux linkage. Also this paper modeling and simulate the new control system using the FIS toolbox provided by the Matlab/Simulink software, and the simulation results shows that the fuzzy control method is far more better than the traditional direct torque control system.

Jurnal Teknik ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Sumardi Sadi

DC motors are included in the category of motor types that are most widely used both in industrial environments, household appliances to children's toys. The development of control technology has also made many advances from conventional control to automatic control to intelligent control. Fuzzy logic is used as a control system, because this control process is relatively easy and flexible to design without involving complex mathematical models of the system to be controlled. The purpose of this research is to study and apply the fuzzy mamdani logic method to the Arduino uno microcontroller, to control the speed of a DC motor and to control the speed of the fan. The research method used is an experimental method. Global testing is divided into three, namely sensor testing, Pulse Width Modulation (PWM) testing and Mamdani fuzzy logic control testing. The fuzzy controller output is a control command given to the DC motor. In this DC motor control system using the Mamdani method and the control system is designed using two inputs in the form of Error and Delta Error. The two inputs will be processed by the fuzzy logic controller (FLC) to get the output value in the form of a PWM signal to control the DC motor. The results of this study indicate that the fuzzy logic control system with the Arduino uno microcontroller can control the rotational speed of the DC motor as desired.


2013 ◽  
Vol 341-342 ◽  
pp. 1013-1017
Author(s):  
Yi Ming Li ◽  
Wei Huang ◽  
Peng Jin ◽  
Jun Rong

According to the analysis of mathematical model for permanent magnet synchronous motor (PMSM), direct torque control(DTC) technology is introduced to the control system of PMSM. The paper builds dual-closed loop control system of PMSM, and the outer loop is speed loop, the inner loop is flux and torque loop, at the same time, the paper makes simulation in Matlab/Simulink. The simulation results show that the DTC technology significantly improves the dynamic performances of PMSM, and the control system is no overshoot, and has small flux response comparing with the conventional control methods of PMSM. So the application of DTC technology in PMSM provides a new thoughtful way for PMSM control system designing and debugging in actual application.


2014 ◽  
Vol 573 ◽  
pp. 155-160
Author(s):  
A. Pandian ◽  
R. Dhanasekaran

This paper presents improved Fuzzy Logic Controller (FLC) of the Direct Torque Control (DTC) of Three-Phase Induction Motor (IM) for high performance and torque control industrial drive applications. The performance of the IM using PI Controllers and general fuzzy controllers are meager level under load disturbances and transient conditions. The FLC is extended to have a less computational burden which makes it suitable for real time implementation particularly at constant speed and torque disturbance operating conditions. Hybrid control has advantage of integrating a superiority of two or more control techniques for better control performances. A fuzzy controller offers better speed responses for startup and large speed errors. If the nature of the load torque is varied, the steady state speed error of DTC based IM drive with fuzzy logic controller becomes significant. To improve the performance of the system, a new control method, Hybrid fuzzy PI control is proposed. The effectiveness of proposed method is verified by simulation based on MATLAB. The proposed Hybrid fuzzy controller has adaptive control over load toque variation and can maintain constant speed.


Author(s):  
Md Rafiqul Islam Sheikh ◽  
Rion Takahashi ◽  
Junji Tamura

At present fuzzy logic control is receiving increasing emphasis in process control applications. The paper describes the application of fuzzy logic control in a power system that uses a 12- pulse bridge converter associated with Superconductive Magnetic Energy Storage (SMES) unit. The fuzzy control is used in both the frequency and voltage control loops, replacing the conventional control method. The control algorithms have been developed in detail and simulation results are presented. These results clearly indicate the superior performance of fuzzy control during the dynamic period of energy transfer between the power system and SMES unit. Keywords: Fuzzy logic controller; power system dynamic performance; SMES unit. DOI: http://dx.doi.org/10.3329/diujst.v6i2.9343 DIUJST 2011; 6(2): 33-41


2020 ◽  
Vol 26 (1) ◽  
Author(s):  
O.E. Ojo ◽  
T.O. Olorunfemi ◽  
O. Folorunso ◽  
C. Omoijuanfo

Peer-to-peer streaming systems (P2PSS) have become well deployed over the Internet in recent times due to its robustness, scalability, distributive nature and cost effectiveness. It is not un-common that peers arrive on the system in large numbers at a particular time in order to retrieve multimedia files. The large spike in the number of peers arriving at a time can be referred to as flash crowd. Several methods have been proposed, models have been designed aiming at providing solution to the problem. This paper attempts to alleviate flash crowd that may occur in the system using a fuzzy logic control system. Inputs were created and fuzzified, rules were developed and then the outputs were defuzzified. Analysis of the results derived from the MATLAB simulation reveal that under a flash crowd scenario, our fuzzy logic controller functions appropriately by the detecting flash crowd when it is about to occur and then necessary actions are taken. Also, with the fuzzy logic control system peer access in and out of the system is successfully controlled. The system allows for new peers to connect more with high bandwidth peers aiming at making the upload rate of each parent proportional to its upload bandwidth thereby utilizing the limited bandwidth resources of the entire P2P system more effectively.Keywords: Peer-to-peer networks, video streaming and flash crowdVol. 26, No. 1, June, 2019


2014 ◽  
Vol 672-674 ◽  
pp. 1234-1237
Author(s):  
Wen Zhuo Chen ◽  
Xiao Yu Zhang ◽  
Xiao Mei Sui

This template illustrates the control system of permanent magnet synchronous motor(PMSM) which uses field oriented vector control(field oriented vector control). PMSM is a complex, strong coupling and nonlinear system. And field oriented vector control could provide good performance as well as the PI controller setted with well parameter matching. Whereas limited by the number of voltage vector, the other control method of PMSM, direct torque control, could not satisfy accurate control when the machine running with a low speed. So modulation of the whole system is built here to realize closed-loop field oriented vector control control by keeping id=0 , and the machine model and the transformation among different coordinate system are discussed. The system is verified effective and feasible.


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