Model Predictive Control of Fixed Wing Aircraft Using a Disturbance Observer Approach

V. Deshpande, Youmin Zhang
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Abstract

This paper develops a novel cascading Proportional-Integral-Derivative (PID) with Model Predictive Control (MPC) formulation for lateral control of a fixed wing aircraft in the presence of a constant load disturbance, with the consideration of actuator constraints. A Constrained Quadratic Programming (QP) problem is used to solve this MPC problem, via the Primal-Dual procedure. Furthermore, a disturbance observer is utilized to estimate this disturbance so that the setpoint calculation can be adjusted accordingly. Numerical simulations demonstrate steady-state tracking of the aircraft’s roll angle whilst rejecting this disturbance. In addition, heading (yaw) control is implemented via the outer PID loop, and perfect tracking is achieved for this as well. Throughout the entire simulation, the aircraft’s control inputs (aileron and rudder) do not violate their position and rate constraints, thus demonstrating the successful performance of the QP algorithm.
基于扰动观测器的固定翼飞机模型预测控制
本文提出了一种具有模型预测控制(MPC)的级联比例-积分-导数(PID)方法,用于考虑执行器约束的固定翼飞机在恒定载荷扰动下的横向控制。利用约束二次规划(QP)问题,通过原对偶过程求解这一MPC问题。此外,利用扰动观测器来估计该扰动,从而可以相应地调整设定值计算。数值模拟表明,在抑制这种扰动的同时,飞机的滚转角可以进行稳态跟踪。此外,航向(偏航)控制通过外部PID回路实现,并实现了完美的跟踪。在整个仿真过程中,飞机的控制输入(副翼和方向舵)不违反其位置和速率约束,从而证明了QP算法的成功性能。
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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