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APPLICATION OF A FUZZY LOGIC CONTROLLER FOR SPEED CONTROL ON A SMALL-SCALE TURBOJET ENGINE

机译:模糊逻辑控制器在小尺寸涡轮发动机速度控制中的应用

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Having a small-scale turbojet engine operate at a desired speed with minimum steady state error, while maintaining good transient response is crucial in many applications, such as UAVs, and requires precise control of the fuel flow. In this paper, first the mathematical model of a Small-Scale Turbojet Engine (SSTE) is obtained using system identification tests, and then based on this model, a classical PI controller is designed. Afterwards, to improve on the transient response and steady state performance of this classical controller, a Fuzzy Logic Controller (FLC) is designed. The design process for the FLC employs logical deduction based on knowledge of the engine behavior and iterative tuning in the light of software- and hardware-in-the-loop simulations. The classical and fuzzy logic controllers are both implemented on an in-house, embedded Electronic Control Unit (ECU) running in real time. This ECU is an integrated device carrying a microcontroller based board, a fuel pump, fuel line valves, speed sensor and exhaust gas temperature sensor inputs, and starter motor and glow plug driver outputs. It mainly functions by receiving a speed reference value via its serial communication interface. Based on this reference, a voltage is calculated and applied to the fuel pump in order to regulate the fuel flow into the engine, thereby bringing the engine speed to the desired value. Pre-defined procedures for starting and stopping the engine are also automatically performed by the ECU. Further, it connects to a computer running an in-house comprehensive Graphical User Interface (GUI) software for operating, monitoring, configuration and diagnostics purposes. The designed controllers are used to drive a generic SSTE. Reference inputs consisting of step, ramp and chirp profiles are applied to the controllers. The engine response using both controllers are recorded and inspected. The results show that the FLC exhibits a comparable performance to the classical controller, with possible opportunities to improve this performance.
机译:具有小型涡轮喷气发动机发动机以最小稳态误差以所需速度操作,同时保持良好的瞬态响应在许多应用中至关重要,例如无人机,并且需要精确控制燃料流量。在本文中,首先使用系统识别测试获得小型涡轮喷气发动机发动机(SSTE)的数学模型,然后基于该模型,设计了一种经典PI控制器。然后,为了提高该经典控制器的瞬态响应和稳态性能,设计了模糊逻辑控制器(FLC)。 FLC的设计过程基于对发动机行为的知识和迭代调谐,鉴于软件和硬件在环路模拟的迭代调整。经典和模糊的逻辑控制器均在内部嵌入式电子控制单元(ECU)上实时实现。该ECU是一种集成装置,携带基于微控制器的板,燃料泵,燃料管路,速度传感器和排气温度传感器输入,以及启动电机和发光塞驱动器输出。它主要通过其串行通信接口接收速度参考值来函数。基于该参考,计算电压并施加到燃料泵,以便将燃料流入发动机,从而使发动机速度带到所需的值。启动和停止发动机的预定义程序也由ECU自动执行。此外,它连接到运行内部综合图形用户界面(GUI)软件的计算机,用于操作,监控,配置和诊断目的。设计的控制器用于驱动通用SSTE。由步骤,斜坡和啁啾配置文件组成的参考输入应用于控制器。使用两个控制器的发动机响应进行记录和检查。结果表明,FLC对古典控制器表现出可比性的性能,可能有机会提高这种性能。

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