Elevator control system modeling and PLC program generating based on SIPN

Yanru Zhong; Xiaofeng Gao; Meifa Huang

doi:10.1117/12.718231

30 October 2006 Elevator control system modeling and PLC program generating based on SIPN

Yanru Zhong, Xiaofeng Gao, Meifa Huang

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63584E (2006) https://doi.org/10.1117/12.718231
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

This paper researches into the modeling method of elevator control system and the algorithm of generating PLC program based on Signal Interpreted Petri Net (SIPN). We also analyze the properties of the SIPN model in the system. SIPN is obtained by adding input and output signals into the ordinary Petri Net. Input signals are related to every transition in SIPN, which express the firing conditions of the transition, while output signals related to the corresponding place, which express the control information of the place. In the SIPN model of the system, the relationships are established from one to one correspondence between the Input and Output (I/O) signals of SIPN and the I/O points of PLC. The places of the SIPN stand for the statuses of the elevator, and the transitions represent the changes of the statuses. The input signals of system are the actions of pressing buttons and some sensor signals, which represent the conditions of changing the states of elevator. The output signals are the actions of elevator control functions, such as stop, open, and close the door, which describe the output control information of the elevator in every place. A case study demonstrates the validity both of the SIPN model and the algorithm.

Citation Download Citation

Yanru Zhong, Xiaofeng Gao, and Meifa Huang "Elevator control system modeling and PLC program generating based on SIPN", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63584E (30 October 2006); https://doi.org/10.1117/12.718231

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available