Abstract
This paper presents a Sliding Mode Controller (SMC) with Tanh function for position and attitude stabilization of a quadrotor micro aerial vehicle (MAV). Since this MAV weighs less than 0.1 kg, even minor changes in its environment will affect its performance. Hence a robust controller for position \(x\), \(y\), \(z\), and attitude \(\phi\), \(\theta\), and \(\psi\) is required. The nonlinearity factor is used to construct the dynamic quadrotor model, and the Lyapunov stability function is then used to verify and guarantee the proposed control scheme. To evaluate the robustness of the proposed control method, the dynamic model was simulated in MATLAB Simulink both with and without external disturbance. In addition, the proposed control approach is compared to the PID control scheme in terms of integral square error (ISE). The results show that sliding mode control utilizing the tanh function has excellent performance and resilience against perturbation at par with PID.
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References
Basri MAM, Husain AR, Danapalasingam KA (2014) Enhanced backstepping controller design with application to autonomous quadrotor unmanned aerial vehicle. J Intell Robot Syst Theory Appl 79:295–321. https://doi.org/10.1007/s10846-014-0072-3
Mohd Basri MA, Husain AR, Danapalasingam K (2015) Intelligent adaptive backstepping control for MIMO uncertain non-linear quadrotor helicopter systems. Trans Inst Meas Control 37:345–361. https://doi.org/10.1177/0142331214538900
Lazim IM, Rashid Husain A, Adilla Mohd Subha N, Ariffanan Mohd Basri M (2018) Intelligent observer-based feedback linearization for autonomous quadrotor control. Int J Eng Technol 7:904. https://doi.org/10.14419/ijet.v7i4.35.26280
Lazim IM, Husain AR, Ariffanan M, et al (2018) feedback linearization with intelligent disturbance observer for autonomous quadrotor with time-varying disturbance. Int J Mech Mechatron Eng IJMME-IJENS
Monroy JA, Campos E, Torres JA (2017) Attitude control of a micro AUV through an embedded system. IEEE Lat Am Trans 15:603–612
Yenugula BR, Ziz-ur-Rahman M (2017) Stability control structure of hovercraft prototype utilising PID controller. Bull Electr Eng Inform 6:348–350. https://doi.org/10.11591/eei.v6i4.864
Cedro L, Wieczorkowski K (2019) Optimizing PID controller gains to model the performance of a quadcopter. Transp Res Procedia 40:156–169. https://doi.org/10.1016/j.trpro.2019.07.026
Noordin A, Basri MAM, Mohamed Z (2019) Sliding mode control for altitude and attitude stabilization of quadrotor UAV with external disturbance. Indones J Electr Eng Inform 7:203–210. https://doi.org/10.11591/ijeei.v7i2.1149
Castañeda H, Gordillo JL (2019) Embedded flight control based on adaptive sliding mode strategy for a quadrotor micro air vehicle. Electronics 8:793. https://doi.org/10.3390/electronics8070793
Noordin A, Basri MAM, Mohamed Z (2021) Sliding mode control with tanh function for quadrotor UAV altitude and attitude stabilization. In: Bahari MS, Harun A, Zainal Abidin Z, et al (eds) Intelligent manufacturing and mechatronics. Springer, Singapore, pp 471–491
Noordin A, Basri MAM, Mohamed Z (2020) Simulation and experimental study on pid control of a quadrotor MAV with perturbation. Bull Electr Eng Inform 9:1811–1818. https://doi.org/10.11591/eei.v9i5.2158
Jinkun L (2017) Sliding mode control using MATLAB. Academic Press, Elsevier
Noordin A, Basri MAM, Mohamed Z (2019) Sliding mode control for altitude and attitude stabilization of quadrotor UAV with external disturbance. In: Bahari MS, Harun A, Zainal Abidin Z, et al (eds) Indonesian journal of electrical engineering and informatics. Springer, Singapore, pp 203–210
Noordin A, Basri MAM, Mohamed Z, Abidin AFZ (2017) Modelling and PSO fine-tuned PID control of quadrotor UAV. Int J Adv Sci Eng Inf Technol 7. https://doi.org/10.18517/ijaseit.7.4.3141
Acknowledgements
The authors would like to thank Universiti Teknologi Malaysia (UTM) under the Research University Grant (R.J130000.2651.17J42), Universiti Teknikal Malaysia Melaka (UTeM), and Ministry of Education Malaysia for supporting this research.
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Noordin, A., Mohd Basri, M.A., Mohamed, Z., Mat Lazim, I. (2022). Position and Attitude Control of Quadrotor MAV Using Sliding Mode Control with Tanh Function. In: Khairuddin, I.M., et al. Enabling Industry 4.0 through Advances in Mechatronics. Lecture Notes in Electrical Engineering, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-19-2095-0_18
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