直升机旋翼协调加载自适应最优解耦控制

研究了直升机旋翼协调加载系统的自适应最优解耦控制问题。将最优控制理论与高斯基函数小脑模型神经网络相结合，提出了电液伺服加载的自适应最优控制策略,该控制策略能够确保闭环系统具有渐近稳定性。分析了旋翼协调加载系统的组成结构，建立了旋翼机构耦合关系的数学模型。在此基础上，提出了自适应最优解耦控制策略，有效消除了助力器与加载通道以及加载通道相互之间的耦合作用，提高了加载指令的跟踪精度。仿真结果表明，该协调加载解耦控制策略是有效的，具有较高的载荷谱跟踪精度。

Adaptive Optimal Decoupling Control in Helicopter Rotor Concordant Loading System

The adaptive optimal decoupling control method of helicopter rotor concordant loading system was discussed.After combining the optimal control theory with Gauss basis function cerebellar model articulation controller(GCMAC) neural network,an optimal control strategy on electro-hydraulic loading system was proposed,which made the closed-loop system gradually stable.The structure of concordant loading system was analyzed,and the mathematical model of the rotor's coupling relation was established.Based on the above conclusions,adaptive optimal decoupling control strategy was proposed,which efficiently eliminated coupling effect and improved loading instruction's track precision.The results of simulation show that this concordant loading decoupling control strategy is effective and has higher tracking precision for loading instruction.