To compensate for hydrodynamic resistance during experiments on neutral buoyancy, we propose a new method for designing and simulating hydrodynamic resistance servo compensation system, which we believe is new and better than previous ones. Sections 1 and 2 of the full paper explain our method. Their core consists of; ( 1) we combine the traditional PID control with fuzzy control so as to perform fuzzy inference of unknown information and online learning with artificial intelligence, thus effectively handling the nonlinearity and uncertainty of the actuator control system and adjusting its PI parameters on line and in real time; ( 2) we apply our method to the closed loop control system of the hydrodynamic resistance servo compensation system; (3) using the fuzzy logic toolbox of MATLAB, we design and simulate the hydrodynamic resistance servo compensation system; the simulation results, given in Figs. 6(a) and (b) , and their comparison show preliminarily that the closed loop control system we designed has no overshoot but faster response than the traditional PID control method, thus effectively compensating for hydrodynamic resistance.%针对中性浮力实验中水动阻力的补偿问题,提出了一种参数自整定模糊PI控制方法,即采用传统的PID控制与模糊控制相结合的新型控制方法.将方法应用于水动阻力补偿系统的控制闭环中,并利用MATLAB软件中的模糊控制工具箱进行了系统的辅助设计与仿真.仿真结果表明,参数自整定模糊P1控制可改善水动阻力补偿系统的动态性能,该方法是水动阻力实时补偿的有效方法.
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