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control

PID Self Tuning Control Based on Mamdani fuzzy Logic Control for quadrotor stabilization

Quadrotor as one type of UAV can perform Vertical Take-Off and Landing (VTOL). It allows the Quadrotor to be stationary hovering in the air. PID (Proportional Integral Derivative) control system is one of the control methods that are commonly used. It is usually used to optimize the Quadrotor stabilization at least based on the three Eulerian angles (roll, pitch, and yaw) as input parameters for the control system. Various methods can obtain the three constants of PID. The simplest way is tuning manually. This approach has several weaknesses. For example, if the three constants are not exact, the resulting response will deviate from the desired result. By combining the methods of PID with fuzzy logic systems where human expertise is implemented into the machine language is expected to optimize the control system further.

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Categories
control

The use of Video Processing for Quadrotor Flight Stability Control Monitoring

The quadrotor is one kind of Unmanned Aerial Vehicles (UAV). Quadrotor can hover with minimal translational velocity approaching a stationary state. The four rotors support this capability. These rotors are used to lift the Quadrotor to fly. These rotors are placed on all four sides of the tip of Quadrotor. To operate with excellent stability, we can use an IMU sensor (Inertial Measurement Unit). IMU sensor consists of some DOF (degrees of freedom) sensors, such as 3-axis accelerometer sensor, 3-axisgyroscope sensor, 3-axis magnetometer sensor, and so on under the needs of flight. To test the stability of Quadrotor can be done by utilizing the video and image processing methods. This processing acts as the ’eyes’ of Quadrotor. Sobel method as one of the picture processing algorithms can be used to read the edges of the object. This method can measure the level of stability fly. But before reading the results of the edge must first be converted to black and white format. Otsu method can be used to perform the conversion. Then we find the center point of the result of the transformation of the object being viewed. This point can be used to read the movement of Quadrotor. It is used to determine the position of the quadrotor movement on vertical and horizontal axes. The position can be utilized as input to control the quadrotor flight stability.

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Categories
control

Quadrotor flight stability system with Routh stability and Lyapunov analysis

UAV (Unmanned Aerial Vehicle) can fly autonomously or be controlled remotely by a pilot. Quadrotor as one type of UAV has been widely implemented in various needs. Its system design has a lot of control techniques involved. The design starts with the physical modeling. Quadrotor physical modeling is modeling based on the laws of physics as a theory and mathematical modeling of physical interpretation. The problem arises when actual plants are not fit with mathematical models that are used as the control design before. Such discrepancy arises because of external interference, plant parameters, and dynamics models that are nonlinear. If control systems are not designed to deal with non-linear interference, it is difficult to us to maintain quadrotor flight. Therefore, we need control methods that can be applied to linear and nonlinear systems. Routh Stability can be used to generate PID (Proportional Integral and Derivative) constants as a linear control method by using a Ziegler-Nichols. Lyapunov as a method of non-linear control method offers distinct advantages over other control methods. Lyapunov second method is further implemented by a control technique that gives a good effect. So the PID and Lyapunov method can make quadrotor approaching the stationary state.

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