Sistem Kendali Penerbangan Quadrotor pada Keadaan Melayang dengan Metode LQR dan Kalman Filter

https://doi.org/10.22146/ijeis.15262

Andi Dharmawan(1*), Ivan Fajar Arismawan(2)

(1) Universitas Gadjah Mada, Indonesia
(2) 
(*) Corresponding Author

Abstract


Quadrotor is a type of UAV (Unmanned Aerial Vehicle) with four propellers and four rotor. Quadrotor as flying robots has the advantage to take off and land vertically. In addition quadrotor also has the ability to fly hovered near a stationary state. However quadrotor had some difficulties to operate. One of these difficulties is to make quadrotor be able to fly and maintain the stationary state of the Euler angles (roll, pitch, and yaw). Linear Quadratic Regulator (LQR) as one of the modern control method which has the advantage of maintaining the conditions on the ground. This method can be combined with Kalman filter algorithm. It aims to reduce measurement error from the process sensor fusion and maintain Euler angles (roll, pitch and yaw).

Kalman filter aims to reduce the measurement error of the sensor fusion. Then the output of Kalman filter algorithm becomes the input state for control LQR the roll angle and pitch angle. Input state is multiplied with the negative feedback  as process systems. The results are converted into pulses to rotate the brushless motor so quadrotor can fly stably.

The test results showed quadrotor while maintaining stability against roll angle has overshoot of 0.35 ° and the pitch angle has overshoot of 2 °.

Keywords


UAV; robot; stationery

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References

[1] Miguel, J. and Domingues, B. “Quadrotor prototype,” Universidade Tecnica de Lisboa, 2009.

[2] Mohammadbagheri, A., Zaeri, N., and Yaghoobi, M. “Comparison Performance Between PID and LQR Controllers for 4- leg Voltage-Source Inverters,” vol. 7, pp. 230–234, 2011.

[3] Minh, L. D. and Ha, C. “Modeling and Control of Quadrotor MAV Using Vision-based Measurement,” pp. 1–6, 2010.

[4] Hoffmann, F., Goddemeier, N., and Bertram, T., “Attitude estimation and control of a quadrocopter,” pp. 1072–1077, 2010.

[5] Dhewa, O. A. “Implementasi Metode LQR (Linear Quadratic Regulator) pada Quadrotor dengan Penalaan Q dan R untuk Keadaan Hovering,” Universitas Gadjah Mada, 2014.

[6] Corke, P. Robotics , Fundamental Algorithms in MATLAB ®, vol. 73. Berlin: Springer, 2011.

[7] Prouty, R., 2002, Helicopter Performance, Stability, and Control, Krieger Publishing Company.

[8] Rodliyah, D. “Perancangan sistem kendali optimal multivariabel linear quadratic gaussian (lqg) pada kapal fpb 38 untuk meningkatkan performansi manuvering,” 2011.

[9] Katsuhiko, O. Modern Control Engineering (Ogata 3rd Edition), 3 rd editi. Minnesota, 1996.

[10] Kardono, “Perancangan dan Implementasi Sistem Pengaturan Optimal LQR untuk Menjaga Kestabilan Hover pada Quadcopter,” vol. 1, no. 1, pp. 1–6, 2012.



DOI: https://doi.org/10.22146/ijeis.15262

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