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Hybrid Fuzzy PID Control for BLDC Motor- Report

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Added on  2019-11-26

Hybrid Fuzzy PID Control for BLDC Motor- Report

   Added on 2019-11-26

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FLCHYBRID FUZZY PID CONTROL FOR BLDC MOTOR
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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
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FLCHYBRID FUZZY PID CONTROL FOR BLDC MOTORCHAPTER 1INTRODUCTION Motor stands as a very basic part from very small electronic device to a hugeelectronic device and for the larger and high powered electronic devices, high performance of the motor becomes vital, especially, in the industrial applications, like electric trains, steel rolling mills and robotics, where the basic functionality of the device would be majorly dependent on the performance and reliability of the motor. Eventually, a decent motor drive system with higher performance demand the vital features, such as load regulating response, command tracking with good dynamics speed, to achieve the reliable and expected performance, for longer period of time. DC drives act as the best and ideal solution for these industrial requirements, for their ease of application, favourable cost, high reliabilities and flexibilities and so are considered as the backbone of the home appliances, robot manipulators and industrial applications. The matching in all these applications by DC drives is because of the requirements of control of position and speed of the motor. 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.
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FLCIn addition to that, DC motors have tremendous speed control for deceleration and acceleration and are available at less expensive cost, for even higher ratings of horsepower. 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 home appliances, because of the machines that are adjustable with speed and various features. The logic for the match of the applications is that DC drives allows the designers and developers of the existing and new electronic applications, for the precise control of the speed of the motor, for the desired performance. The speed controllers have been the key to performance, of the motors, because of DC motor speed control can execute numerous varied tasks, from conventional controller types and numeric controller types. These speed controllers in application are usually of FLC (Fuzzy Logic Controller), PID (Proportional Integral Derivative) and PI (Proportional Integral) and combination of these controllers, such as Fuzzy Genetics Algorithm, Fuzzy=Neural Networks, Fuzzy Swarm1. The majority of the control system in the electronic industry in the world is operated by the PID (Proportional Integral Derivative), over 95% of the industrial process control applications. The dominated use of the PID in these applications is because of the unmatchable 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.
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