Aria, Muhammad (2012) DESIGN OF AN ELEVATOR GROUP CONTROLLER USING TYPE-2 FUZZY LOGIC. Majalah Ilmiah UNIKOM, Volume. ISSN 1411-9374
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Abstract
The elevator group control systems are the control systems that manage systematically two or more elevators in order to efficiently transport the passengers. In the elevator group control system, the area-weight which determines the load biases of elevators is a control parameter closely related to the system performance. This paper proposes a type-2 fuzzy model to determine the area-weight. The proposed method uses a two-stage fuzzy inference model which is built by the study of expert knowledge. A software has been developed to simulate the traffic flow of three elevator cars in a 15-floor building. The software simulates the movements of the cars as found in practical elevator systems. This simulation software was used to facilitate the evaluation of the proposed Type 2 Fuzzy System strategy. The software allows simulation of different passenger�s traffic situations. The Type 2 Fuzzy Logic System is compared with Type 1 Fuzzy System. The simulation results show that the Type 2 Fuzzy Logic Controller has better performance in the case of heavy traffic conditions. Type-2 Fuzzy Logic Controller reduced the average waiting time by 7� 20 % and the long wait probability by 11 � 30 %.
| Item Type: | Article |
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| Uncontrolled Keywords: | area weight, average waiting time, interval type 2 fuzzy system, long wait probability, karnik-mendel algorithms |
| Subjects: | Jurnal Tercetak > Majalah Ilmiah UNIKOM |
| Divisions: | Universitas Komputer Indonesia > Direktorat > Lembaga Penelitian dan Pengabdian Masyarakat |
| Depositing User: | Admin Repository |
| Date Deposited: | 30 Nov 2016 09:17 |
| Last Modified: | 30 Nov 2016 09:17 |
| URI: | http://repository.unikom.ac.id/id/eprint/30372 |
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