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Control strategy of saving or taking parking vehicles for stacker type stereo garage |
1. School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China; 2. Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China |
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Abstract To solve the problems of long saving or taking vehicle time with high running failure rate for stereo garage, intelligent measurement and control method and vehicle delivery strategy for the stacker-type stereo garage were investigated. Based on process mutual exclusion principle, the parallel optimization control with multiple access process was realized with bounded depth first search (DFS) algorithm on the basis of neighborhood. The design scheme of the frame structure of garage main body was proposed, and the vehicle transportation and delivery strategies for multi-gallery and multi-layer garage were investigated. The mixed control strategies with switch functions were applied to complete saving or taking parking vehicles during peak and other periods under different service environment. Using industrial PC and unit gallery programmable logic controller (PLC) as network node, the secondary monitor and management network with one main more sub was formed with profibus. PLC kingview control software and PC management software were programed by MCGS and VC++. The results show that vehicle stacking and intelligent measurement and control can be realized by the multi-channel and multi-level roadway, and the land area can be economized to the maximum extent. The ground utilization is increased by about 85% with only double-layer settings. The optimal control of vehicle automatic access can be realized by the proposed control strategy, and the operation efficiency of saving or taking parking vehicles for stacker type intelligent stereo garage is improved.
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Received: 02 June 2016
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