矿井钢缆胶带自适应复合控制策略研究
Research of Adaptive Combined Control Strategy of Steel Rope Belt of Mine
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摘要: 针对矿井钢缆胶带电控系统和制动系统的特点,文章提出了基于参数自调整神经网络模糊控制的复合控制策略,比较详细地介绍了电控系统和制动系统复合控制结构、带参数自调整的神经网络模糊控制器结构和钢缆胶带自适应复合控制策略。仿真与现场应用结果表明,该复合控制策略实现了矿井钢缆胶带电控系统和制动系统的整体控制,满足钢缆胶带控制系统高性能的要求。Abstract: Aiming at characteristics of electric control system and braking system of steel rope belt of mine, the paper presented combined control strategy based on fuzzy control of neural network with parameter self-regulation, detailedly introduced combined control structure of electric control system and braking system, fuzzy controller structure of neural network with parameter self-regulation and adaptive combined control strategy of steel rope belt. Simulation and practical application showed that this combined control strategy realized integral control of electric control system and braking system of steel rope belt of mine, and met with high-performance demand of control system of steel rope belt.
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Key words:
- mine /
- steel rope belt /
- electric control system /
- braking system /
- fuzzy control /
- neural network /
- parameter self-regulation /
- combined control
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