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Research of Subsection Optimal Acceleration Control Law of Aircraft Engines Using Fuzzy Switching Based on a Cloud Model

机译:基于云模型的模糊切换,飞机发动机的第优化加速度控制定律研究

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Considering the problem of optimal acceleration control of aircraft engine, the subsection optimal acceleration control method using fuzzy switching based on a cloud model is proposed. The acceleration process is divided into three phases, optimal objective functions and constraints are different in each phase. The optimal acceleration control law is obtained using the SQP algorithm with adjusted objective functions and constraints to improve the ability of engine acceleration. Considering the significant jump of control parameters and the exceeding limit of aircraft engine state parameters problem during the shift of different phase on the acceleration process, the method of fuzzy switching controller based on a cloud model is designed. Compared with the normal SQP acceleration control law and the subsection one based on direct switching, the simulation results show that the proposed method not only is the most effective control law but also can ensure the aircraft engine stable.
机译:提出了考虑飞机发动机最佳加速控制问题,提出了基于云模型的模糊切换的第款优化加速控制方法。加速过程分为三个阶段,每个阶段的最佳目标函数和约束不同。使用具有调整后的目标函数和约束的SQP算法获得最佳加速度控制定律,以提高发动机加速度的能力。考虑到控制参数的显着跳跃和飞机发动机状态参数问题在加速过程的不同相位期间的超出限制,设计了基于云模型的模糊开关控制器的方法。与正常的SQP加速度控制法和基于直接切换的子部分相比,仿真结果表明,该方法不仅是最有效的控制法,还可以确保飞机发动机稳定。

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