双转子MIMO系统的模糊控制器设计

B.U. Islam, N. Ahmed, D.L. Bhatti, S. Khan
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引用次数: 38

摘要

本文讨论了双转子MIMO系统的模糊控制器设计。系统有三个自由度,但我们只设计了两个自由度(DOF)的控制器,即行程和高度。控制器的设计使一个度的变化对另一个度的影响最小,并且整个系统应保持稳定。我们设计了两个模糊逻辑控制器:一个用于行程控制,一个用于高程控制,这两个控制器都是在MATLAB中设计的,并具有Sugeno推理。对于双旋翼多输入多输出系统,通常被称为直升机问题,许多传统的控制器存在。我们控制器的性能必须比他们的好,或者至少等于他们的。为了在实际系统上测试控制器是不可能的,因此我们使用模拟来基准测试模糊逻辑控制器的性能。仿真结果表明,在整个工况范围内,采用模糊控制器的系统性能优于采用传统PID或LQR控制器的系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controller design using fuzzy logic for a twin rotor MIMO system
The paper discusses the design of a fuzzy logic controller for a twin rotor MIMO system. The system has three degrees of freedom, but we have designed the controller for two degrees of freedom (DOF) only, i.e., travel and elevation. The controller is designed such that a change in one degree should have minimum effect on the other and overall the system should remain stable. We have designed two fuzzy logic controllers: one for travel control and one for elevation: both are designed in MATLAB and have Sugeno inference. For the twin rotor MIMO system, commonly known as the helicopter problem, many conventional controllers exist. Our controller's performance had to be better than, or at least equal to, their's. To test the controller on a practical system was not possible, therefore we used simulations to benchmark the performance of the fuzzy logic controller. The simulation results show that the system performance with a fuzzy logic controller is superior to the system performance with a conventional PID or LQR controller, over the whole range of operating conditions.
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