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Majalah Ilmiah UNIKOM

Vol.10 No. 1


H a l a m a n




Department of Electrical Engineering

Engineering and Computer Science Faculty

Universitas Komputer Indonesia

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 %.

Index Terms –

Long Wait Probability, Karnik-Mendel algorithms


Buildings with thirty floors or more are

now a common sight in many cities around

the world. So the demand for more efficient

vertical transportation is rapidly increasing.

The installation of multiple elevator is one of

the nice solutions to cope with these trends.

The elevator group control system, as

shown in Figure 1, is a control system that

manages systematically three or more

elevators in a group to increase the service

for passengers and reduces the cost such

as power consumption.

Figure 1. Elevator Group Control Problem