Muhammad Nizam, Kamarudin
(2007)
*Self-Tuning P1 Control For A Torque And Speed Of A DC Motor Using Fuzzy Algorithm.*
Masters thesis, Newcastle University.

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Self-Tuning_P1_Control_For_A_Torque_And_Speed_Of_A_DC_Motor_Using_Fuzzy_Algorithm_-_Muhammad_Nizam_Kamarudin_-_TJ217.5.M64_2007.pdf - Submitted Version Restricted to Registered users only Download (1764Kb) |

## Abstract

Artificial intelligence methods such as fuzzy logic and neural networks are broadly used nowadays. These schemes are used in various engineering disciplines such as control engineering power engineering computer engineering and microelectronics engineering. In control engineering. the utilization of these schemes in combine with other classical control techniques has become a matter of interest among engineers and researchers. As such this dissertation focuses deeply on the combination of a well known Fuzzy Logic with Proportional and Integral (PI) control technique in the application of control engineering field. The goal is to design a self-tuning PI controller for a cascade control system using fuzzy algorithm. Therefore a complete self-tuning PI system is denoted as an auto-tuned PI or Fuzzy-PI in the upcoming section. This thesis comprises of three major parts. They are modeling, classical controller design and advanced controller design. The system used to test the design is a separately excited DC motor cum a 4 quadrant DC/DC converter. Therefore, a self-tuning PI scheme is proposed to control the torque and speed of the motor. PI controller has·the ability to elirrlinate steady state error in response as the integral part plays its role. The design process for conventional PI control made use a Control and Estimation tools in MA TLAB. The frequency response method is chosen for the ease of designing stem 's bandwidth. The Mamdani's technique of a fuzzy algorithm is designed by means of a fuzzy logic toolbox in SIMULINK. The fuzzy system is a multi input multi output system in which the design process demanded experimental approach. The outcome of this task concluded that the fuzzy-PI offers better control of the system. This is well explained in the result and discussion section. The drawbacks of auto-tuning system were cured by many advantages of this scheme. As the method of designing a conventional controller is rarely used, all steps taken are clearly explained and cited in a well manner as possible to cater the understanding among readers. All diagrams and simulation results are presented intuitively to make the reading process exciting. The analysis is restricted to an easy-to-understand discussion so that the understandings are less difficult for laymen.

Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | - |

Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |

Divisions: | Library > Tesis > FKE |

Depositing User: | Nor Aini Md. Jali |

Date Deposited: | 25 Jul 2014 11:13 |

Last Modified: | 28 May 2015 04:27 |

URI: | http://eprints.utem.edu.my/id/eprint/12788 |

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