航空学报 > 2019, Vol. 40 Issue (6): 322727-322727   doi: 10.7527/S1000-6893.2019.22727

复合式旋翼飞行器多目标控制分配策略

郑峰婴1, 刘龙武1, 程月华1, 陈志明1, 成锋娜2   

  1. 1. 南京航空航天大学 航天学院, 南京 210016;
    2. 南京林业大学 机械电子工程学院, 南京 210037
  • 收稿日期:2018-10-15 修回日期:2018-11-26 出版日期:2019-06-15 发布日期:2019-03-13
  • 通讯作者: 郑峰婴 E-mail:zhfy@nuaa.edu.cn
  • 基金资助:
    国家自然科学基金(61803200,61673206);中央高校基本科研业务费专项资金(NZ2016111);国防科技重点实验室基金(6142220180304)

Multi-objective control allocation strategy of compound rotorcraft

ZHENG Fengying1, LIU Longwu1, CHENG Yuehua1, CHEN Zhiming1, CHENG Fengna2   

  1. 1. College of Aeronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
  • Received:2018-10-15 Revised:2018-11-26 Online:2019-06-15 Published:2019-03-13
  • Supported by:
    National Natural Science Foundation of China (61803200,6163206);the Fundamental Research Funds for the Central Universities(NZ2016111);National Defense Science and Technology Fundation of Key Laborory (6142220180304)

摘要: 针对复合式旋翼飞行器操纵冗余多模式切换控制问题,提出一种基于赋权多目标混合优化的控制分配策略。该策略根据复合式旋翼飞行器过渡模式舵面操纵特性,建立飞行器带约束过渡过程控制分配模型;设计混合多目标优化性能指标评价函数,有效处理操纵量控制受限、交叉强耦合及非线性特性,并减少舵面耗能;采用改进的粒子群优化算法动态更新操纵量及控制通道的权系数矩阵,提高控制面操纵效率,加快优化搜索速度,快速求解过渡过程多目标控制分配变量。该策略实现复合式旋翼飞行器模式切换过渡过程实时有效地操纵量控制分配,保证飞行器快速准确跟踪控制指令的能力。同时,通过多目标控制分配策略,飞行控制系统不需要增加额外的模式切换控制器,降低系统设计难度,提高安全性。

关键词: 复合式旋翼飞行器, 模式切换, 操纵冗余, 多目标优化, 控制分配, 粒子群算法

Abstract: Aiming at the control plane redundancy of the compound rotorcraft in multi-mode transition process, a control allocation strategy based on weighted multi-objective hybrid optimization is proposed. Drawing on the characteristics of control surfaces in the transition mode, a control allocation model for aircraft with constrained transition procedure is established. A hybrid multi-objective optimization performance index evaluation function is designed, which effectively handle the limitation, the cross strong coupling, and the nonlinear characteristics of control surfaces, and reduces the energy consumption. The improved particle swarm optimization algorithm is used to dynamically update the weight coefficient matrixes of the steering surface manipulation and the control channels, improve the control surface control efficiency, speed up the optimization of the search speed, and quickly solve the steering surface manipulation of the multi-object control allocation in the transition mode. The strategy realizes the real-time effective steering surface control allocation of the compound rotorcraft in the mode switching transition process, ensuring the ability of the aircraft to quickly and accurately track the control commands. At the same time, the multi-objective control allocation makes it unnecessary to extra conversion controllers in the transition mode, reducing the difficulty of the flight control system design and improving the system security.

Key words: compound rotorcraft, mode transition, redundant control, multi-objective optimization, control allocation, particle swarm optimization

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