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首页> 外文期刊>International Journal of Automotive Technology >FUZZY EXPERT SYSTEM FOR CONTROLLING SWAMP TERRAIN INTELLIGENT AIR-CUSHION TRACKED VEHICLE
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FUZZY EXPERT SYSTEM FOR CONTROLLING SWAMP TERRAIN INTELLIGENT AIR-CUSHION TRACKED VEHICLE

机译：沼泽地形智能气垫履带车辆控制的模糊专家系统

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摘要

A fuzzy expert system was used in this study to control an intelligent air-cushion tracked vehicle (IACTV) as it operated in a swamp peat terrain. The system was effective in controlling the intelligent air-cushion vehicle while measuring the vehicle traction (TE), motion resistance (MR), power consumption (PC), cushion clearance height (CCH) and cushion pressure (CP). An ultrasonic displacement sensor, pull-in solenoid electromagnetic switch, pressure-control sensor, microcontroller, and battery pH sensor were incorporated into the fuzzy expert system (FES) to experimentally determine the TE, MR, PC, CCH, and CP. In this study, we provide an illustration of how an FES might play an important role in the prediction of the power consumption of the vehicle's intelligent air-cushion system. The mean relative error in the actual and predicted values from the FES model with respect to tractive effort, total motion resistance and total power consumption were found to be 5.58%, 6.78% and 10.63%, respectively. For all parameters, the relative error in the predicted values was found to be less than the acceptable limit (10%), except for the total power consumption. Furthermore, the goodness of fit of the predicted values was found to be close to 1.0 as expected and, hence, indicates the good performance of the developed system.
机译：在这项研究中，模糊专家系统用于控制智能气垫履带式车辆（IACTV），因为它在沼泽泥炭地形中运行。该系统可有效地控制智能气垫车辆，同时测量车辆的牵引力（TE），运动阻力（MR），功耗（PC），坐垫间隙高度（CCH）和坐垫压力（CP）。超声位移传感器，嵌入式电磁开关，压力控制传感器，微控制器和电池pH传感器被集成到模糊专家系统（FES）中，以通过实验确定TE，MR，PC，CCH和CP。在本研究中，我们将说明FES如何在预测车辆智能气垫系统功耗中发挥重要作用。在牵引力，总运动阻力和总功耗方面，FES模型的实际值和预测值的平均相对误差分别为5.58％，6.78％和10.63％。对于所有参数，除总功耗外，预测值的相对误差均小于可接受的极限（10％）。此外，发现预测值的拟合度接近预期的1.0，因此表明已开发系统的良好性能。

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