Control strategy and experimental research on girder hoister steering system based on RBF neural network PID

ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

Volumn , Issue , 2009, Pages 3210-3214

  Bingyu, Sun ^a   Jingyi, Zhao ^a   Zhiyong, Wang ^b   Chengyu, Yao ^a   Rui, Guo ^a  

^a YANSHAN UNIVERSITY   (China)

^b Qinhuangdao Tianye Tolian Heavy Industry Co Ltd   (China)

Author keywords

Experimental research; Girder hoister steering system; RBF neural network; Segment PID; Valve control cylinder

Indexed keywords

CONTROL STRATEGIES; CYLINDER MODEL; DISPLACEMENT CONTROL; ELECTRO-HYDRAULICS; EQUILIBRIUM EQUATION; EXPERIMENTAL RESEARCH; HIGH-SPEED RAILWAYS; OVER-SHOOT; PASSENGER DEDICATED LINE; PID CONTROL; RBF NEURAL NETWORK; SETTLING TIME; SIMILARITY PRINCIPLE; STEERING ACTUATORS; STEERING CONTROL; STEERING PERFORMANCE; STEERING SYSTEMS; SYSTEM MODELS; VALVE CONTROL;

CEMENTS; CYLINDERS (SHAPES); MODEL STRUCTURES; PROPORTIONAL CONTROL SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; RESEARCH; SHIP STEERING EQUIPMENT; THREE TERM CONTROL SYSTEMS;

NEURAL NETWORKS;

EID: 71549166681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMI.2009.5274327     Document Type: Conference Paper

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