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Computer control software design model based on improved PID algorithm

机译:基于改进PID算法的计算机控制软件设计模型

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The optimal design for computer control software is studied. Since computer control software is susceptible to interference during the control process, a computer control software design model based on improved PID algorithm is proposed. The PID algorithm is combined with particle swarm algorithm to calculate PID control parameters, which is viewed as evolutionary particles of the particle population, and given a certain flight speed in the search space, the speed of the particles will be adjusted iteratively and dynamically in accordance with the experience of population's evolution calculation, in order to achieve computer control software design. The simulation results show that the proposed algorithm applied for computer control software design, can improve the control precision and meet the actual needs of computer control.
机译:研究了计算机控制软件的最佳设计。由于计算机控制软件在控制过程中易于干扰,因此提出了一种基于改进的PID算法的计算机控制软件设计模型。 PID算法与粒子群算法组合以计算PID控制参数,该PID控制参数被视为颗粒群的进化粒子,并且在搜索空间中给出某种飞行速度,粒子的速度将迭代地调节术语和按照动态调节凭借人口进化计算的经验,为了实现计算机控制软件设计。仿真结果表明,该算法应用于计算机控制软件设计,可以提高控制精度并满足计算机控制的实际需求。

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