A Distributed Pump Control Adjacent Deviation Coupling Neural Network PID Hydraulic Climbing Formwork Jacking System
A technology of coupled neural network and adjacent deviation, which is applied in the direction of fluid pressure actuation system components, fluid pressure actuation devices, formwork/formwork/work frame, etc., can solve the problem of poor anti-interference ability, easy delay, and safety Poor protection and other problems, to achieve the effect of improving anti-interference ability, improving synchronization accuracy and high reliability
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[0022] The hydraulic climbing formwork synchronous jacking system of the present invention adopts volumetric speed regulation (pump control direct drive). In order to realize the hydraulic climbing formwork synchronous jacking under the condition of high load and large partial load, a single controller is used, which cannot meet the needs of large areas. Therefore, the present invention proposes a distributed control strategy, using adjacent deviation coupling neural network PID control algorithm to realize the synchronous movement of multiple hydraulic cylinders. The hydraulic climbing mold synchronous jacking system consists of a hydraulic module and a control module. The schematic diagram of the system is shown in figure 1 shown.
[0023] Hydraulic module: The hydraulic module of the hydraulic climbing mold synchronous jacking system is composed of eight identical volume speed-regulating hydraulic circuits. The volume-speed regulating ...
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