摘要
针对四旋翼无人飞行器的姿态控制系统,需要研究先进控制策略来达到满意的性能.将自抗扰控制(ADRC)与广义预测控制(GPC)相结合,设计一种新型自抗扰广义预测控制器(ADRC-GPC),利用ADRC中的扩张状态观测器(ESO)来估计和补偿非线性系统的模型不确定性以及外部扰动作用,将原始对象模型转化为积分器形式,然后针对积分器设计广义预测控制器.阶跃响应系数矩阵能被解析地求解出来,可有效地解决广义预测控制计算量大的问题.研究结果表明:所提出的ADRC-GPC控制方法能够对四旋翼无人飞行器姿态系统进行实时控制,可满足控制精度及快速性要求,并能有效地克服系统的外部干扰和多变量耦合作用.自抗扰广义预测控制器能够有效地控制欠驱动非线性多变量系统.
Aiming to the attitude control system of quad-rotor unmanned aerial vehicles, advanced control scheme should be studied to obtain the satisfied performance. A novel active disturbance rejection generalized predictive control （ADRC-GPC） is presented by combining the technique of active disturbance rejection control （ADRC） and generalized predictive control （GPC）. The extended state observer （ESO） of active disturbance rejection control is employed to estimate and compensate the existing uncertainties and disturbance of the nonlinear dynamics systems, such that an integrator form can be obtained to serve as the model for GPC design. By using this scheme, the step response coefficient matrix can be derived analytically and the computational complexity can be substantially reduced. The experiment results show that the designed ADRC-GPC scheme can be applied in the real-time control for the attitude system of the quad-rotor unmanned aerial vehicle （ UAV）, it can not only meet the need of control accuracy and rapidity, but also have strong disturbance rejection ability and stability. Therefore, the proposed active disturbance rejection generalized predictive control scheme can be used to control under-actuated nonlinear muhivariable plants effectively.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2016年第9期176-180,188,共6页
Journal of Harbin Institute of Technology
基金
国家自然科学基金(61573199
61573197
61273138)
天津市自然科学基金(14JCYBJC18700)
关键词
姿态控制
自抗扰控制
扩张状态观测器
广义预测控制
四旋翼无人飞行器
attitude control
active disturbance rejection control （ADRC）
extended state observer （ESO）
generalized predictive control （GPC） ： quad-rotor unmanned aerial vehicle
作者简介
陈增强（1964-），男，教授，博士生导师 通信作者：陈增强，chenzq@nankai．edu．cn
