Fuzzy Logic Applied to Motor Control
Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
Computer Science Clay
Active In SP

Posts: 712
Joined: Jan 2009
07-08-2009, 05:25 PM

Today, home appliance applications require more and more features such as motor speed adaptations to multipurpose accessories, user-friendly interfaces, and security features. Such new requirements can be achieved through a low-end microcontroller-based electronic control using the fuzzy logic approach. Now a days, most of fuzzy logic-based controls are only limited to a complicated ranking management of user interfaces, sensors, and actuators, corresponding to slow software speed operation. This paper proposes a totally different use of fuzzy logic.

Use Search at http://topicideas.net/search.php wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
seminar paper
Active In SP

Posts: 6,455
Joined: Feb 2012
03-03-2012, 04:24 PM

Fuzzy Logic Applied to Motor Control

.doc   Fuzzy Logic Applied to Motor Control 2.doc (Size: 885 KB / Downloads: 35)


Today in Europe, the trend in home appliance is to have more and more features offering friendly use of and appliances minimizing energy consumption. Low-end micro controller associated to fuzzy logic
software are used inside different equipment: for instance to optimize the charge of batteries; to minimize water and energy consumption in washing machines; to regulate temperature in air conditioning systems and refrigerators;


Fig. 2 describes the topology of the motor speed control application. The 400-W universal motor of the food processor is supplied in dc mode. This voltage is adjusted using PWM techniques through a chopper stage composed of an insulated gate bipolar transistor (IBGT) STGPlONSO and a freewheeling diode STTA806DI. A standard microcontroller, the ST6265.With its on-board PWM timer and A/D converter, measures the speed of the motor and drives the IGBT through a 5/15 V interface. In addition, the microcontroller manages tasks such as minimum mains voltage detection, tachogenerator voltage measurement, fuzzy logic speed control, PWM duty cycle generation, and motor speed selection.

A. Description of Food-Processor Motor
The universal motor used in this application has a speed ranging up to 22000 r/min (i.e., 366 Hz). The gear ratio between motor speed and accessory speed is equal to 7.5. The ratio between tachogenerator frequency and motor frequency is equal to 16. One of the advantages of using fuzzy logic for such an application is to overcome the need for a precise mathematical model of the system. Nevertheless, the system behavior has to be known and this knowledge can be acquired with some simple experimental graphs.


The fuzzy logic approach is used to develop this application covers all the steps of a fuzzy logic design from the definition of the project and implimentation, of the linguistic variables and of the rules. Furthermore, this tool generates the executable code for the ST6 microcontroller. Fig. 6, giving the program flow chart, shows a fuzzy logic development can be divided in two main parts:
The microcontroller environment program and the fuzzy logic application itself.
−The environment program consists of
microcontroller initialization, motor
speed acquisition, calculation of speed
error and speed error variation, input
variable adaptation to fuzzy logic
kernel code values, fuzzy logic kernel
calling, PWM duty cycle update,
acquisition of new motor speed
command, and end of synchronization
time base waiting.

A. Project Definition
The first step when using the fuzzy logic is to define the structure of the controller. Fig. 7displays the controller structure and allows the designer to directly access linguistic variables and rule definitions.

B. Linguistic Variables Definition
The next step of the controller design is the definition of linguistic variables. The graphic interface of the development tool allows the designer to easily create the most suitable linguistic variables and the membership functions for the application. The input membership functions shown in Fig. 8 are defined taking into account the speed and the acceleration of the motor and the system resolution. The motor speed range is well covered with five membership functions. According to the sensibility of the speed measurement line and to the speed sampling rate, (3 rotations/s each 30 ms corresponds to an acceleration of 100 rotations/s), the motor speed variation range is described with three membership functions. The triangular shaped (“Pi-Type”) membership functions “Zero” and “Null” make the PWM duty cycle variations less sensitive to the A/D converter resolution.


Important Note..!

If you are not satisfied with above reply ,..Please


So that we will collect data for you and will made reply to the request....OR try below "QUICK REPLY" box to add a reply to this page
Tagged Pages: project ideas in logic in computer science, fuzzy logic applied to motor control ppt, computer project on fuzzy logic, universal motor control with fuzzy logic, computer science project definitions, fuzzy logic in motor control, flow chart of fuzzy logic based motor speed regulator,
Popular Searches: hardware implementation of fuzzy control of dc motor, lat motor, fuzzy applied fire sensing robot, applied hydraulic engineering ppt, project report on speed control of universal motor using scr, hbridge motor orcad, pdf speed control of universal motor using fpga,

Quick Reply
Type your reply to this message here.

Image Verification
Please enter the text contained within the image into the text box below it. This process is used to prevent automated spam bots.
Image Verification
(case insensitive)

Possibly Related Threads...
Thread Author Replies Views Last Post
Thumbs Up Inventory Control System uttuswami 2 720 20-10-2014, 07:46 PM
Last Post: CxWfRyIPv
  Fuzzy MLS: An Experiment on Quantified Risk– Adaptive Access Control seminar projects maker 0 319 26-09-2013, 02:10 PM
Last Post: seminar projects maker
  RATIONSHOP INVENTORY CONTROL SYSTEM full report smart paper boy 17 6,809 20-09-2013, 09:47 AM
Last Post: seminar projects maker
  Kalman Filter-Based Distributed Predictive Control of Large-Scale Multi-Rate pdf study tips 0 358 09-09-2013, 03:32 PM
Last Post: study tips
  Efficient Fuzzy Type-Ahead Search in XML Data pdf study tips 0 492 07-09-2013, 04:56 PM
Last Post: study tips
  Sensor Network Based Oilwell Health Monitoring and Intelligent Control pdf study tips 0 410 01-08-2013, 12:47 PM
Last Post: study tips
Last Post: study tips
  REPORT ON GSM BASED VEHICLE THEFT CONTROL SYSTEM study tips 0 366 16-05-2013, 12:05 PM
Last Post: study tips
  Performance Evaluation of Hybrid Topology Control in WSN PPT study tips 0 393 20-04-2013, 04:06 PM
Last Post: study tips
  Efficient Fuzzy Type-Ahead Search in XML Data Abstract study tips 0 372 04-03-2013, 09:16 AM
Last Post: study tips