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ZHANG Hongyan
ZHAO Dingxuan
TANG Xinxing
College of Mechanical Science and Engineering,
Jilin University,
Changchun 130022, China
Ding Chunfeng
Nanjing High Speed &
Accurate Gear Group Co., Ltd.,
Nanjing 210012, China
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FOUR-PARAMETER AUTOMATIC TRANSMISSION
TECHNOLOGY FOR CONSTRUCTION VEHICLE BASED ON ELMAN
RECURSIVE NEURAL NETWORK*
Abstract:
From the viewpoint of energy saving and improving transmission efficiency, the ZL50E wheel loader is taken as the study object. And the system model is analyzed based on the transmission system of the construction vehicle. A new four-parameter shift schedule is presented, which can keep the torque converter working in the high efficiency area. The control algorithm based on the Elman recursive neural network is applied, and four-parameter control system is developed which is based on industrial computer. The system is used to collect data accurately and control 4D180 power-shift gearbox of ZL50E wheel loader shift timely. An experiment is done on automatic transmission test-bed, and the result indicates that the control system could reliably and safely work and improve the efficiency of hydraulic torque converter. Four-parameter shift strategy that takes into account the power consuming of the working pump has important operating significance and reflects the actual working status of construction vehicle.
Key words:
Construction vehicle Hydraulic transmission and control Automatic transmission Elman recursive neural network |