FLC HYBRID FUZZY PID CONTROL FOR BLDC MOTOR

Added on - 26 Nov 2019

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FLCHYBRID FUZZY PID CONTROL FOR BLDC MOTOR
FLCContentsHYBRID FUZZY PID CONTROL FOR BLDC MOTOR................................................4CHAPTER 1........................................................................................................................4INTRODUCTION.......................................................................................................................4BACKGROUND.........................................................................................................................6FUZZY LOGIC CONTROL.......................................................................................6ADVANTAGES...........................................................................................................7CHALLENGES OF FUZZY TECHNIQUES.............................................................8FUZZY LOGIC APPLICATIONS...............................................................................8OBJECTIVE................................................................................................................................9PROBLEM STATEMENT........................................................................................................10REFERENCES..................................................................................................................12
FLCHYBRID FUZZY PID CONTROL FOR BLDC MOTORCHAPTER 1INTRODUCTIONMotor stands as a very basic part from very small electronic device to a hugeelectronic device and for the larger and high powered electronic devices, highperformance of the motor becomes vital, especially, in the industrial applications,like electric trains, steel rolling mills and robotics, where the basic functionality ofthe device would be majorly dependent on the performance and reliability of themotor. Eventually, a decent motor drive system with higher performance demandthe vital features, such as load regulating response, command tracking with gooddynamics speed, to achieve the reliable and expected performance, for longerperiod of time. DC drives act as the best and ideal solution for these industrialrequirements, for their ease of application, favourable cost, high reliabilities andflexibilities and so are considered as the backbone of the home appliances, robotmanipulators and industrial applications. The matching in all these applications byDC drives is because of the requirements of control of position and speed of themotor. The complexity of the DC drives is lesser than that of the AC drives,because the characteristic of speed torque of them, is much more than AC drives.
FLCIn addition to that, DC motors have tremendous speed control for deceleration andacceleration and are available at less expensive cost, for even higher ratings ofhorsepower. All it needs is just a single system for conversion of power to DC fromAC. DC drives has become a tradition in the industrial applications and homeappliances, because of the machines that are adjustable with speed and variousfeatures. The logic for the match of the applications is that DC drives allows thedesigners and developers of the existing and new electronic applications, for theprecise control of the speed of the motor, for the desired performance. The speedcontrollers have been the key to performance, of the motors, because of DC motorspeed control can execute numerous varied tasks, from conventional controllertypes and numeric controller types. These speed controllers in application areusually of FLC (Fuzzy Logic Controller), PID (Proportional Integral Derivative)and PI (Proportional Integral) and combination of these controllers, such as FuzzyGenetics Algorithm, Fuzzy=Neural Networks, Fuzzy Swarm1. The majority of thecontrol system in the electronic industry in the world is operated by the PID(Proportional Integral Derivative), over 95% of the industrial process controlapplications. The dominated use of the PID in these applications is because of theunmatchable simplicity, applicability and clear functionality and ease of use,1BomedieneAlloua and ABdessalamAbderrahamani, “Neuro-Fuzzy DC Motorspeed Control Using Particle Swarm Optimization,”Leonaro ElectronicJournal of Practices and Technologies ISSN,1583-1078.