Date of Publication:2010-01-01
Journal:大连理工大学学报
Affiliation of Author(s):建设工程学部
Issue:4
Page Number:580-585
ISSN No.:1000-8608
Abstract:The combination of T-S fuzzy model and adaptive-network-based fuzzy inference system(ANFIS) is convenient for description of multi-input fuzzy control rules. In order to solve dimension explosion problem of conventional ANFIS structure under large amount of rule antecedent and improve online extraction speed for complex systems, ANFIS network is firstly modified adopting multi-input vector, then a clustering obtainment method of T-S control rules is presented. Simulation work towards inverted pendulum and the second-order delay system is conducted, and comparative results of the presented method and Mamdani-type controller show similar control performances such as maximum overshoot, fluctuation times and transition time. Meanwhile, the presented method has 3 sampling periods shorter rise time and 45 decreased control rules than Mamdani-type controller.
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Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Main positions:Deputy Director, Department of Civil Engineering, Dalian University of Technology
Other Post:Member of APEC EGEE&C Group
Gender:Male
Alma Mater:Harbin Institute of Technology
Degree:Doctoral Degree
School/Department:Institute of Building Energy, Dalian University of Technology
Discipline:Heat and Gas Supply, Ventilation and Air Conditioning Engineering
Business Address:417 Room, Houxing Building
Contact Information:Email：zhaotianyi@dlut.edu.cn Office:86-411-84707734
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