Multi-objective Eigenstructure Assignment-PID Based Controller Design for Longitudinal Motion of Aircraft

Waqas Ahmed, Zhongjian Li, Muhammad Istan, M. Anwar
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引用次数: 1

Abstract

Autopilots maintain the flight balance of aircraft using aerodynamics forces autonomously. Autopilot system design is divided into two section, inner and outer loop. Inner loop act as a stabilizer while outer loop provide motion control such as altitude, speed and path angle. The aim of this study is to utilize eigenstructure assignment (EA) and Proportional -Integral-Derivative (PID) in multi-loop configuration for altitude and pitch angle control. Aircraft non-linear model is obtained using Euler formulism and trimmed at certain flight conditions to achieve the linear state space model of aircraft which is used in this study. Aircraft longitudinal motion is highly coupled and unstable, EA is implemented in inner loop for stability augmentation and decoupling of system. Two different outer loop controllers are designed for altitude and pitch control of aircraft using PID controller. Designing controllers in such a configuration not only reduced the coupling between different state variables but also accurately control and tracked the altitude and pitch angle. Effectiveness of multi-loop control configuration will be illustrated with the help Matlab/Simulink model and results.
飞行器纵向运动多目标特征结构分配- pid控制器设计
自动驾驶仪利用空气动力自动维持飞机的飞行平衡。自动驾驶系统的设计分为内回路和外回路两部分。内环作为稳定器,而外环提供运动控制,如高度,速度和路径角。本研究的目的是利用特征结构分配(EA)和比例-积分-导数(PID)在多环配置中用于高度和俯仰角控制。利用欧拉公式得到飞机非线性模型,并在一定的飞行条件下进行裁剪,得到本文所使用的飞机线性状态空间模型。飞机纵向运动具有高耦合性和不稳定性,在内环中采用EA实现系统的增稳解耦。采用PID控制器设计了两种不同的外环控制器,分别用于飞行器的高度和俯仰控制。在这种配置下设计控制器,不仅减少了不同状态变量之间的耦合,而且可以精确地控制和跟踪高度和俯仰角。多环控制组态的有效性将通过Matlab/Simulink模型和结果来说明。
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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