한국해양대학교

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비선형 퍼지 PID제어기의 성능개선에 관한 연구

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dc.contributor.author 주하나 -
dc.date.accessioned 2017-02-22T06:16:37Z -
dc.date.available 2017-02-22T06:16:37Z -
dc.date.issued 2011 -
dc.date.submitted 56989-07-02 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002175104 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/9260 -
dc.description.abstract PID controllers have been widely used for industrial processes but to its simplicity and effectiveness. They provide high sensitivity and stability of the overall feedback control system and reduce overshoot and steady-state error. It has been well known that PID controllers can be effectively used for 1st and 2nd-order linear systems, but they can suffer from problems on higher-order and nonlinear systems. On the other hand, fuzzy controllers in general are suitable for many nontraditionally modeled industrial processes such as linguistically controlled systems that cannot be precisely described by mathematical model formulation and have significant unmodeled effects and uncertainties. There are several types of control systems that adopt a fuzzy logic controller as an essential system component. The majority of applications during the past two decades belong to the class of fuzzy PID controllers. This thesis describes the design principle, tracking performance, and stability analysis of a nonlinear fuzzy PID controller with fixed parameters and nonlinear fuzzy PID controllers with variable parameters. At first, the fuzzy PID controller with fixed parameters is derived from the design procedure of the conventional fuzzy linguistic controller. The resulting controller is a discrete-time fuzzy version of the conventional PID controller, which has the same structure with proportional, derivative and integral parts but has nonconstant gains. However, all the gains of fuzzy PID controller are nonlinear function of the input signals at every sampling time. The resultant fuzzy PID controller has a simple structure of the conventional PID controller but posses its self-tuning control capability. In order to increase the applicability of the fuzzy PID controller using low-level microprocessors, a simplified fuzzy PID controller is introduced. At second, a fuzzy PID controller with variable parameters, named variable parameter fuzzy PID controller, is suggested to improve the shortage of the fuzzy PID controller with fixed parameters. The fuzzy PID control action cannot be operated accurately when the scaled inputs are greater than the normalization parameter of the fuzzy input sets in case of the fuzzy PID controller with fixed parameters. If design parameters are adjusted by comparing magnitude among the inputs of the fuzzy controller at every sampling time, the partitions of all the scaled fuzzy inputs converge within regions confined by the normalization parameter and the resultant fuzzy PID controller with variable parameters can always accomplish PID control action precisely regardless of the input magnitude variation. At last, several simulations for various systems including a linear time-invariant system and a nonlinear two-tank level control system are executed in order to verify that the suggested fuzzy PID controller is superior to other fuzzy PID controllers already discussed by comparing control performances among them. -
dc.description.tableofcontents Abstract 제 1 장 서 론 1 1.1 연구배경 1 1.2 연구내용 3 제 2 장 고정 파라미터 퍼지 PID제어기4 2.1 기본 구조 4 2.2 퍼지화 알고리즘 7 2.3 퍼지 제어 규칙 9 2.4 비퍼지화 알고리즘 11 2.5 고정 파라미터 퍼지 PID제어기 제어칙 14 2.6 고정 파라미터 퍼지 PID제어기 시뮬레이션 16 2.7 고정 파라미터 퍼지 PID제어기의 성능분석 및 고찰 23 제 3 장 기 연구된 가변 파라미터 비선형 퍼지PID제어기 25 3.1 가변 파라미터 퍼지 PID제어기 설계 25 3.2 가변 파라미터 퍼지 PID제어기 시뮬레이션 30 3.3 논의된 가변 파라미터 퍼지 PID 제어기의 고찰 35 제 4 장 개선된 가변 파라미터 퍼지 PID제어기의 제안 36 4.1 개선된 가변 파라미터 퍼지 PID제어기의 기본 설계 36 4.2 개선된 가변 파라미터 퍼지 PID제어기 시뮬레이션 44 제 5 장 비선형 이중 수조 시스템의 제어 53 5.1 비선형 이중 수조 시스템 설계 53 5.2 퍼지 PID제어기를 이용한 비선형 이중 수조 시스템의 시스템 성능 검증과 결과 고찰 55 제 6 장 결 론 61 참 고 문 헌 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.title 비선형 퍼지 PID제어기의 성능개선에 관한 연구 -
dc.title.alternative A Study on the Performance Improvement of the Nonlinear Fuzzy PID Controller -
dc.type Thesis -
dc.date.awarded 2011-08 -
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