摘要
针对输油泵在复杂地形中,由外界的温度、湿度、原油特性等不良因素导致的漂离问题,本文研究与设计了模糊神经网络PID控制算法来对输油泵控制系统进行控制,结合常规PID控制,模糊控制,神经网络控制的优点,分析了输油泵控制系统的组成结构,设计了模糊神经网络PID控制算法的模型结构和实现过程。仿真实验结果表明,文中算法相比较常规PID控制算法,超调量减少约20%左右,相较于模糊PID超调量减少了约9%,达到稳定状态所需的控制时间也远低于常规PID和模糊PID,并且文中算法具有较好的自适应能力和抗干扰能力。
In complex terrain,external temperature,humidity,crude oil characteristics and other adverse factors will cause oil pump control systems to drift apart.To solve this problem,a fuzzy neural network PID algorithm is proposed in this paper to control the oil pump systems. Combined with the advantages of conventional PID control,fuzzy control and neural network control,and with the the composition and structure of an oil pump control system,the model of the fuzzy neural network PID control algorithm is devised and then implemented.The simulation results show that compared with the conventional PID and the fuzzy PID control algorithms, the devised algorithm can reduce the overshoot by about 20% and by about 9%,respectively,and reduce greatly the control time needed for achieving stability.And the proposed algorithm has good adaptability and anti-interference ability.
引文
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