Design of Fuzzy Control System for Generic Aircraft/UAVs

D. Singh, N. Verma
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Abstract

This paper provides an approach for design of Fuzzy Model Based (FMB) control system for generic aircraft and UAV related application. The FMB control is an evolving nonlinear control strategy which consists of a fuzzy model and a fuzzy controller connected in a closed-loop. In proposed work an application-oriented research, in which an emerging soft computing-based technique (fuzzy system) is applied for design of flight control system of Generic aircraft. The existing theoretical base developed in fuzzy systems literature is explored/customized for aircraft related application. The short period mode of longitudinal aircraft dynamics is considered for simulation and demonstration purpose. The fuzzy model of longitudinal aircraft dynamics are obtained from nonlinear dynamics equations about various representative points (equilibrium points) of flight envelop with some fuzzy rules. The aircraft flight envelope parameters i.e operating altitude and Mach Number are characterized as premise parameters and elements of stability and control derivative matrix are identified as consequent parameters of fuzzy model. The decay rate fuzzy controller with constraint on state and control input parameters is considered and its feedback gains are obtained by solving the LMI stability conditions. The closed-loop response of FMB controller is presented at three initial flight conditions. The simulation result reveals that proposed FMB controller is well suited at various identified operating points of the flight envelop. It not only stabilizes the aircraft dynamics but also provides improved transient performance. This demonstrates the utility of FMB control system for aircraft / UAVs related application.
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通用飞机/无人机模糊控制系统设计
本文为通用飞机及无人机相关应用提供了一种基于模糊模型的控制系统设计方法。FMB控制是一种由模糊模型和模糊控制器组成的非线性演化控制策略。本文以应用为导向,将一种新兴的基于软计算的技术(模糊系统)应用于通用飞机飞行控制系统的设计。针对飞机相关应用,探索/定制模糊系统文献中已有的理论基础。考虑了飞机纵向动力学短周期模型的仿真和论证目的。利用飞行包络线各代表点(平衡点)的非线性动力学方程,结合一定的模糊规则,得到飞机纵向动力学的模糊模型。将飞行包线参数即飞行高度和马赫数作为模糊模型的前提参数,将稳定性元素和控制导数矩阵作为模糊模型的结果参数。考虑了具有状态约束和控制输入参数约束的衰减率模糊控制器,并通过求解LMI稳定性条件获得了其反馈增益。给出了FMB控制器在三种初始飞行条件下的闭环响应。仿真结果表明,所提出的FMB控制器能够很好地适应已确定的飞行包络点。它不仅稳定了飞机的动力学,而且提供了改进的瞬态性能。这证明了FMB控制系统在飞机/无人机相关应用中的实用性。
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