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LQR based Fuzzy Logic Rudder Control System using DC Servo Motor

机译:基于LQR基于DC伺服电机的模糊逻辑舵控制系统

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The D.C servo motor is a stable system. In a real-time, stable system is easy to control and it fit for any controllers. This D.C servo motor is used for aircraft rudder position control. Fuzzy logic based LQR controller is proposed to control the position of DC servo motor. This process is useful to control the rudder position of the aircraft system. The D.C servo motor consists of a weight disk that mounted on the rotor. If there is a change in the weight of the disk produces an error value. The error value and rate of change error value are given as the two inputs to the fuzzy logic. The output of fuzzy logic gives the Q value by which plant control action is done effectively. The weight disk acts as a disturbance to the servo motor, it moves stables system to an unstable system. The fuzzy logic implemented with LQR controller helps to reduce the error and it automatically controls the servo motor. From this fuzzy output, Q value makes changes in the LQR controller it helpful to obtain optimal gain value. Fuzzy-based LQR controller produces better steady-state position output than the PID controller steady-state position output.
机译:D.C伺服电机是一个稳定的系统。在实时,稳定的系统易于控制,适用于任何控制器。该D.C伺服电机用于飞机舵位置控制。基于模糊逻辑的LQR控制器,用于控制直流伺服电机的位置。该过程可用于控制飞机系统的方向舵位置。 D.C伺服电机由安装在转子上的重量盘组成。如果磁盘的权重有变化会产生错误值。误差值和更改速率误差值被给出为模糊逻辑的两个输入。模糊逻辑的输出给出了工厂控制动作的Q值。重量磁盘充当对伺服电机的干扰,它将马厩系统移动到不稳定的系统。使用LQR控制器实现的模糊逻辑有助于降低错误,并自动控制伺服电机。从这种模糊输出,Q值会在LQR控制器中进行更改,这有助于获得最佳增益值。基于模糊的LQR控制器产生比PID控制器稳态位置输出更好的稳态位置输出。

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