scholarly journals Simplified Fuzzy Control for Flux-Weakening Speed Control of IPMSM Drive

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
M. J. Hossain ◽  
M. A. Hoque ◽  
K. K. Islam
Keyword(s):  
Fuzzy Logic ◽  
High Performance ◽  
Fuzzy Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Performance Standards ◽  
Speed Control ◽  
Operating Conditions ◽  
Drive System ◽  
Laboratory Test Results ◽  
Flux Weakening

This paper presents a simplified fuzzy logic-based speed control scheme of an interior permanent magnet synchronous motor (IPMSM) above the base speed using a flux-weakening method. In this work, nonlinear expressions ofd-axis andq-axis currents of the IPMSM have been derived and subsequently incorporated in the control algorithm for the practical purpose in order to implement fuzzy-based flux-weakening strategy to operate the motor above the base speed. The fundamentals of fuzzy logic algorithms as related to motor control applications are also illustrated. A simplified fuzzy speed controller (FLC) for the IPMSM drive has been designed and incorporated in the drive system to maintain high performance standards. The efficacy of the proposed simplified FLC-based IPMSM drive is verified by simulation at various dynamic operating conditions. The simplified FLC is found to be robust and efficient. Laboratory test results of proportional integral (PI) controller-based IPMSM drive have been compared with the simulated results of fuzzy controller-based flux-weakening IPMSM drive system.

scholarly journals Performance comparison of field oriented control based permanent magnet synchronous motor fed by matrix converter using PI and IP speed controllers

2020 ◽  
Vol 19 (3) ◽  
pp. 1156
Author(s):  
Mohamed Bouazdia ◽  
Mohamed Bouhamida ◽  
Rachid Taleb ◽  
Mouloud Denai
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Matrix Converter ◽  
Operating Conditions ◽  
Drive System ◽  
Input Current ◽  
Field Oriented Control ◽  
Proportional Integral

This paper focuses on modeling and closed-loop speed control of a three-phase Permanent Magnet Synchronous Motor (PMSM) fed by a Matrix Converter (MC) based on Field-Oriented Control (FOC). The model considers a set of a small input filter with supply impedance or cable effect, to improve the quality of the input current. A simplified form of the Venturini modulation algorithm is used for switching the matrix converter and a comparative study of two types of speed controllers is presented, namely a proportional integral (PI) and a proportional integral (PI) to improve performances of the drive system in transient and stable conditions. The overall drive system is simulated using Matlab/Simulink environment. The motor performance is evaluated under different operating conditions such as sudden changes in the load or changes in the angular speed reference. The results of the converter MC gives unlimited output frequency, sinusoidal input current and output voltage waveforms and unity input displacement factor. The IP controller is shown to achieve better performance of the speed control loop, with or without the load torque as compared to the PI classic controller.

A High Performance of Induction Motor Drive System

2020 ◽  
Vol 13 (8) ◽  
pp. 1129-1134
Author(s):  
Cuifeng Shen ◽  
Hanhua Yang
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Fuzzy Controller ◽  
Drive System ◽  
Motor Drive ◽  
Deterministic System ◽  
Induction Motor Drive ◽  
Paper Making ◽  
Drive Control ◽  
Motor Drive System

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.

Mode Selecting Control of Interior Permanent Magnet Synchronous Motor for Full Speed Range Operation

2010 ◽  
Vol 43 ◽  
pp. 21-27 ◽  
Author(s):  
Zhi Hong Wu ◽  
Si Bei Wu ◽  
Yuan Zhu ◽  
Guang Yu Tian
Keyword(s):  
State Transition ◽  
Permanent Magnet Synchronous Motor ◽  
Operating Conditions ◽  
Constant Torque ◽  
Speed Range ◽  
Interior Permanent Magnet ◽  
Full Speed ◽  
Source Voltage ◽  
Transition Scheme ◽  
Flux Weakening

The paper presents a new method for mode selecting which includes constant torque mode and flux-weakening mode. The proposed method modifies the working modes not by LUT (look-up table), but by the size of T0. Attractive features of this state transition technique include no dependency on the machine parameters, the least calculated quantities, making full use of the source voltage of the battery, and smooth and fast transition into and out of the flux-weakening mode. Simulation results at various operating conditions are presented to verify the feasibility of the proposed mode transition scheme.

scholarly journals FPGA based Performance Analysis of Speed Control Permanent Magnet Synchronous Motor Drive with Pi and Fuzzy Logic Controller

2020 ◽  
Vol 8 (6) ◽  
pp. 5317-5321
Keyword(s):  
Fuzzy Logic ◽  
Permanent Magnet ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Resistive Load ◽  
Speed Tracking ◽  
Overall Performance ◽  
Random Change

Present research demonstrates an experimental work and simulation of FPGA based PMSM drives consists of PI and Fuzzy logic controller, for speed control under load, zero load and random change in load conditions. It also delineates the overall performance of a closed loop vector Permanent Magnet Synchronous Motor (PMSM) drive consisting of two loops, current for inner and speed for outer loops for better speed tracking systems. The resistive load which is connected across the armature of dc shunt motor and coupled with PMSM is varied. The resultant speed and torque are studied in details. Result showed that in case of fuzzy logic controller, the peak overshoot and settling time can be minimized. This FPGA based PMSM drives can be used for different paramount application under constant speed.

scholarly journals Control of Rotary Cranes Using Fuzzy Logic

2001 ◽  
Author(s):  
Amjed A. Al-mousa ◽  
Ali H. Nayfeh ◽  
Pushkin Kachroo
Keyword(s):  
Fuzzy Logic ◽  
Closed Loop ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Operating Conditions ◽  
Building Construction ◽  
Loop Control ◽  
Industrial Structures ◽  
Inference Engines

Abstract Rotary cranes (tower cranes) are common industrial structures that are used in building construction, factories, and harbors. These cranes are usually operated manually. With the size of these cranes becoming larger and the motion expected to be faster, the process of controlling them became difficult without using automatic control methods. In general, the movement of cranes has no prescribed path. Cranes have to be run under different operating conditions, which makes closed-loop control preferable. In this work a fuzzy logic controller is introduced with the idea of split-horizon; that is, fuzzy inference engines (FIE) are used for tracking the position and others are used for damping the load oscillations. The controller consists of two independent controllers: radial and rotational. Each of these controllers has two fuzzy inference engines (FTEs). Computer simulations are used to verify the performance of the controller. Three simulation cases are introduced: radial, compound, and damping. The results from the simulations show that the fuzzy controller is capable of keeping the load-oscillation angles small throughout the maneuvers while completing them in a relatively reasonable time.

scholarly journals Speed control of brushless direct current motor using a genetic algorithm–optimized fuzzy proportional integral differential controller

2019 ◽  
Vol 11 (11) ◽  
pp. 168781401989019 ◽  
Author(s):  
Huangshui Hu ◽  
Tingting Wang ◽  
Siyuan Zhao ◽  
Chuhang Wang
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Direct Current ◽  
Fuzzy Logic Controller ◽  
Speed Control ◽  
Operating Conditions ◽  
Superior Performance ◽  
Membership Functions ◽  
Proportional Integral ◽  
Differential Type

In this article, a genetic algorithm–based proportional integral differential–type fuzzy logic controller for speed control of brushless direct current motors is presented to improve the performance of a conventional proportional integral differential controller and a fuzzy proportional integral differential controller, which consists of a genetic algorithm–based fuzzy gain tuner and a conventional proportional integral differential controller. The tuner is used to adjust the gain parameters of the conventional proportional integral differential controller by a new fuzzy logic controller. Different from the conventional fuzzy logic controller based on expert experience, the proposed fuzzy logic controller adaptively tunes the membership functions and control rules by using an improved genetic algorithm. Moreover, the genetic algorithm utilizes a novel reproduction operator combined with the fitness value and the Euclidean distance of individuals to optimize the shape of the membership functions and the contents of the rule base. The performance of the genetic algorithm–based proportional integral differential–type fuzzy logic controller is evaluated through extensive simulations under different operating conditions such as varying set speed, constant load, and varying load conditions in terms of overshoot, undershoot, settling time, recovery time, and steady-state error. The results show that the genetic algorithm–based proportional integral differential–type fuzzy logic controller has superior performance than the conventional proportional integral differential controller, gain tuned proportional integral differential controller, conventional fuzzy proportional integral differential controller, and scaling factor tuned fuzzy proportional integral differential controller.

Hybrid Anti-Windup Fuzzy PI Controller Based Direct Torque Control of Three Phase Induction Motor

2014 ◽  
Vol 573 ◽  
pp. 155-160
Author(s):  
A. Pandian ◽  
R. Dhanasekaran
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Fuzzy Controller ◽  
Direct Torque Control ◽  
Operating Conditions ◽  
Torque Control ◽  
Constant Speed ◽  
Three Phase

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.

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