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机构地区:[1]中国矿业大学信息与电气工程学院,江苏徐州221116
出 处:《计算机仿真》2014年第3期355-358,375,共5页Computer Simulation
基 金:教育部科学技术研究重大项目基金(311021)
摘 要:研究救生舱氧气控制系统模型优化问题,为救生舱内氧气浓度的精确控制提供前提。针对救生舱的空间体积、被困人数、执行器件参数等均对系统稳定性造成影响,采用PWM原理、电机工作原理、质量守恒原理通过合理简化创建由输入电压到救生舱氧气浓度的数学模型。传统PID控制器参数整定是以获取对象固定数学模型为前提的。针对控制过程的适应性差的缺点采用模糊控制与常规PID控制结合起来,并以所建模型为控制对象,将模糊PID控制方法与常规PID控制方法进行仿真验证。仿真结果表明,模糊PID控制器不仅改善了系统的动态性能和静态性能,在系统参数发生变化时依然达到良好的控制效果。结果证明采用自适应模糊PID更适合应用于煤矿救生舱的设计。The establishment of the model of capsule oxygen control system provides the foundation for the accu- rate control of oxygen concentration in the capsule. In view of the space capsule volume device parameter, the number of trapped, execution, and etc, which all affect system stability, a mathematical model of capsule from the input volt- age to the oxygen concentration was created by reasonable simplification on the principle of PWM, motor working principle and principle of mass conservation. Obtaining object fixed mathematical model is the prerequisite for tradi- tional PID controller parameter setting. In order to change its poor adaptability, the fuzzy control and conventional PID control were combined and the model was taking as the control subject, and the adaptive fuzzy PID control meth- od and the conventional PID control method were simulated. The test results show that the adaptive fuzzy PID can not only improved system's dynamic and static performance, but also achieve good control effect in spite of the system pa- rameter changes. So the adaptive fuzzy PID is more suitable for the application in the design of coal mine rescue cap- sule.
分 类 号:TP273.4[自动化与计算机技术—检测技术与自动化装置]
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