
handle: 10356/4361
Vertical transportation is essential for high rise buildings. An efficient lift system should have minimum waiting time at any floor level, rapid transportation time to the desired destination, passenger comfort in the lift and lesser travelling distance to reduce the energy and extend equipment life. There have been a number of control algorithms developed to improve the quality of the lift system. There are many factors involved in the analysis of the lift control system. This report describes the various required parameters affecting the performance of a lift control system and proposes a control algorithm for lift group control system. Our algorithm is developed in a general setting to optimize the efficiency of lifts in buildings such as reduced waiting times for lift passengers on each landing and other associated factors. A software package called CALCSS (Computer Aided Lift Control System Simulation), written in Visual Basic language, has been developed to compare the conventional method with our optimal method in lift efficiency optimization. Master of Science (Computer Control and Automation)
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence, :Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence [DRNTU], 004, 620
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence, :Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence [DRNTU], 004, 620
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
