Bridge crane PID control method based on grey wolf algorithm

The invention discloses a bridge crane PID control method based on a grey wolf algorithm. An adopted PID controller structure is a double-closed-loop structure, collected swing angle and displacementlength of goods in a crane operation process are taken as an input of a control system, a difference...

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Bibliographic Details
Main Authors LI MAO, SHANG HUILIN, LIU HAI, XU JIN, ZHANG BIN, LIU ZHIQUN, LI KE, DONG ZHANGHUI
Format Patent
LanguageChinese
English
Published 25.10.2019
Subjects
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
CRANES
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
HAULING
HOISTING
LIFTING
LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS,WINCHES, OR TACKLES
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PERFORMING OPERATIONS
PHYSICS
REGULATING
TRANSPORTING
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Summary:The invention discloses a bridge crane PID control method based on a grey wolf algorithm. An adopted PID controller structure is a double-closed-loop structure, collected swing angle and displacementlength of goods in a crane operation process are taken as an input of a control system, a difference between actual work and a target value is taken as an output, and the PID control of the crane is carried out. An inner loop is an angle control system, a target swing angle is set, the closed-loop feedback is carried out to adjust a swing angle according to a swing angle error between an actual working swing angle and a target swing angle, and the swing angle error is controlled within a certain angle. An outer loop is a displacement control system with the same feedback principle as the innerloop. According to the method, the complicated mechanical model is rationally simplified to a two-dimensional plane, the global search property of a gray wolf bionic algorithm is used to quickly findoptimal control parameters
Bibliography:Application Number: CN201910787491