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机构地区:[1]西安科技大学计算机科学与技术学院,陕西西安710054 [2]西北工业大学现代设计与集成制造技术教育部重点实验室,陕西西安710072
出 处:《煤炭学报》2013年第4期707-714,共8页Journal of China Coal Society
基 金:国家自然科学基金资助项目(11072190)
摘 要:针对液压伺服系统中阀的流量非线性、泵的流量脉动、液压缸的非线性摩擦力和测量噪声等不确定性干扰因素对液压挖掘机工作装置位置控制精度的影响,建立了动臂液压驱动系统的非线性数学模型并设计了区间Ⅱ型模糊控制(IT2FLC)算法。该算法将传统I型模糊集合中的隶属度值再次进行模糊化表示,即其隶属度值本身为I型模糊系统。Ⅱ型模糊系统增强了集合的模糊性,从而提高了其处理不确定性的能力。仿真分析和实验结果表明,与传统Ⅰ型模糊控制(T1FLC)相比,基于IT2FLC的液压驱动系统具有控制精度高、鲁棒性强、抑制干扰能力强等优点,其能有效减小输入信号突变导致的超调和振荡,并显著提高输入信号平稳变化时的跟踪精度。Based on the influences of nonlinear flow, flow pulsation, nonlinear friction, measurement noise and other uncertain disturbance factors on the position control precision of excavator work device, a nonlinear mathematical model of the boom hydraulic actuated system has been developed, and the interval Type-2 fuzzy control (IT2FLC) algo- rithm is designed. The membership value in the traditional Type-1 fuzzy set is fuzzified again, that is, the membership value is another Type-1 fuzzy system itself. The Type-2 fuzzy system strengthens the fuzziness of the set, which improves its ability to deal with uncertainty. Simulation analysis and experiment results show that the hydraulic actuated system based on IT2FLC has high control precision, strong robustness, strong interference suppression ability and other advantages compared to Type-1 fuzzy control (T1FLC). It can effectively reduce the overshoot and oscillations caused by the sudden change of input signals, and also significantly improve the tracking precision when the input signals vary smoothly.
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