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Vibration Control of Active Vehicle Suspension System Using Fuzzy Logic Controller

机译:采用模糊逻辑控制器的有源车辆悬架系统的振动控制

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Fuzzy logic control (FLC) algorithm grants a means of converting a linguistic control technique and it is widely used in vehicle applications. This paper demonstrates the application of fuzzy logic technique to design a controller for the active vehicle suspension system to improve the suspension system performance by altering the number and arrangement of the rules set and the universe of discourses. A mathematical model and equations of motion of quarter vehicle active suspension is derived and solved using MATLAB/Simulink software. The proposed fuzzy controllers using 9, 25 and 49 rules set with two different types of membership functions, trapezoidal and triangle, are implemented in a closed loop control system to demonstrate the influence of the numbers of rule set and the type of membership function on the performance of suspension system. Suspension performance criteria were assessed in both time and frequency domains. Performance comparisons between the passive suspension, as a reference, and the proposed controllers of the active suspension were achieved. The simulation results indicate that the proposed active fuzzy controllers can dissipate the energy due to road excitation effectively and improves suspension performance. Among the investigated systems, the 25 rules set with a trapezoidal membership function for the fuzzy controller gives the best performance.
机译:模糊逻辑控制(FLC)算法授予转换语言控制技术的方法,并且广泛用于车辆应用。本文展示了模糊逻辑技术在设计有源车辆悬架系统的控制器来设计控制器,通过改变规则集的数量和布置和致密的宇宙来改善悬架系统性能。使用Matlab / Simulink软件导出和解决了四分之一车辆主动悬架的数学模型和运动方程。建议的模糊控制器使用9,25和49规则设置,具有两种不同类型的隶属函数,梯形和三角形,在闭环控制系统中实现,以展示规则集数量和成员函数类型的影响悬架系统的性能。在两次和频率域中评估悬浮液性能标准。实现了无源悬浮液之间的性能比较,作为参考,以及有源悬浮液的所提出的控制器。模拟结果表明,所提出的主动模糊控制器可以有效地引起的道路激发而散发能量,并提高悬架性能。在调查系统中,使用用于模糊控制器的梯形隶属函数的25条规则提供了最佳性能。

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