ZHENG Shuang,JIANG Jiasheng,WU Junfeng,et al. Research on synchronization control strategy of hydraulic support group moving based on fuzzy adaptive PID[J]. China Mining Magazine,2023,32(11):87-95. DOI: 10.12075/j.issn.1004-4051.20230237
    Citation: ZHENG Shuang,JIANG Jiasheng,WU Junfeng,et al. Research on synchronization control strategy of hydraulic support group moving based on fuzzy adaptive PID[J]. China Mining Magazine,2023,32(11):87-95. DOI: 10.12075/j.issn.1004-4051.20230237

    Research on synchronization control strategy of hydraulic support group moving based on fuzzy adaptive PID

    • At present, there are generally large synchronization errors in the process of rapid frame moving of hydraulic support group automatically following the machine in the comprehensive mining face. In this paper, the flow rate of hydraulic valve is used as the control quantity and the displacement of hydraulic rod is used as the output quantity to establish the synchronization control system of three hydraulic support moving process, combining four classical coupled synchronization control strategies with fuzzy adaptive integral separation PID control, using AMESim-Simulink joint simulation software for simulation experiments, and analyzing through stability experiments and anti-disturbance experiments. The optimal control strategy is obtained by comparing the experimental results of the four control strategies in order to reduce the synchronization error in the frame moving process. The results show that in the stability experiment, the synchronization error of the mean-coupled synchronization control strategy is less than 0.7 mm, which is more accurate than the master-slave synchronization control, parallel synchronization control and cross-coupled synchronization control; in the anti-interference experiment, the synchronization error of the mean-coupled synchronization control strategy is less than 0.8 mm, which is less affected than the master-slave synchronization control, parallel synchronization control and cross-coupled synchronization control. The above research results show that the mean-coupled fuzzy adaptive integral separation PID control method has high control accuracy, strong anti-interference ability and the smallest synchronization error.
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