Multivariable Receding Horizon Control of Aircraft with Actuator Constraints

被引：0

作者：

Deshpande, Vinayak ^{[1
]}

Zhang, Youmin ^{[1
]}

机构：

[1] Concordia Univ, Dept Mech Ind & Aerosp Engn, Montreal, PQ, Canada

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2020年

基金：

加拿大自然科学与工程研究理事会;

关键词：

Model Predictive Control; MIMO Systems; Constrained Optimization; MODEL;

D O I：

10.1109/smc42975.2020.9282815

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper develops a constrained Model Predictive Control (MPC) formulation for longitudinal control of a fixed wing aircraft. In order to account for the inherent coupling between the inputs and outputs, which is a characteristic of multivariable systems, multiple prediction horizons are used, i.e. one for each output. Furthermore, a novel Quadratic Programming (QP) problem is derived to solve this MPC problem, via the Primal-Dual procedure. Numerical simulations using two QP algorithms demonstrate successful tracking performance of the MPC based controller.

引用

页码：1846 / 1851

页数：6

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