Design of a T Factor Based RBFNC for a Flight Control System

C. Mohanty, P. S. Khuntia, D. Mitra
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引用次数: 5

Abstract

This paper presents the design of modified radial basic function neural controller (MRBFNC) for the pitch control of an aircraft to obtain the desired pitch angel as required by the pilot while maneuvering an aircraft. In this design, the parameters of radial basis function neural controller (RBFNC) are optimized by implementing a feedback mechanism which is controlled by a tuning factor "α" (T factor). For a given input, the response of the RBFN controller is tuned by using T factor for better performance of the aircraft pitch control system. The proposed system is demonstrated under different condition (absence and presence of sensor noise). The simulation results show that MRBFNC performs better, in terms of settling time and rise time for both conditions, than the conventional RBFNC. It is also seen that, as the value of the T factor increases, the aircraft pitch control system performs better and settles quickly to its reference trajectory. A comparison between MRBFNC and conventional RBFNC is also established to discuss the superiority of the former techniques.
基于T因子的RBFNC飞控系统设计
提出了一种改进型径向基函数神经控制器(MRBFNC),用于飞机俯仰控制,以获得飞行员在操纵飞机时所需的俯仰角。在本设计中,径向基函数神经控制器(RBFNC)的参数通过一个由调谐因子“α”(T因子)控制的反馈机制进行优化。对于给定的输入,利用T因子对RBFN控制器的响应进行调谐,以提高飞机俯仰控制系统的性能。在不同的条件下(无噪声和存在噪声)对该系统进行了验证。仿真结果表明,在两种情况下,MRBFNC的沉降时间和上升时间都优于传统的RBFNC。还可以看出,随着T因子的增大,飞机俯仰控制系统的性能越好,越快地稳定在参考轨迹上。并将MRBFNC与常规RBFNC进行了比较,讨论了前者技术的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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