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Mathematical Modeling of a Unicycle Robot and Use of Advanced Control Methodologies for Multi-Paths Tracking Taking into Account Surface Friction Factors Basal, Mohamed Abdelhakim; Ahmed, Mohammed Fadhil
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i1.24361

Abstract

The research aims to design robust controllers that achieve the stability of a single-wheeled robot under the presence of friction factors and to track different parameters to verify robust stability. This paper presents a new study of the unicycle robot system that is controlled using advanced control methodologies. The paper aims to improve the work of the unicycle robot system, due to its effective impact on improving the performance of driving the robot, which is reflected in the smoothness of the vehicle speed change, ensuring the stability of the robot and the safety of the investor in the uncertain work environment. The main goal is to achieve high dynamic performance for the unicycle robot system. The studied system is non-linear and is subject to the restrictions of the friction factor change with the speed change of the unicycle robot. What increases the difficulty of controlling this type of control system is the uncertainty of some parameters of the control system, such as friction factors. In this paper, two advanced control methodologies were proposed: the optimal controller and the optimal parametric controller. The research results showed that both the optimal and optimal parametric controllers succeeded in achieving stability despite the uncertainty of the parameters and multiple friction factors, but with a relative superiority of the optimal parametric controller. Previous research has discussed many controllers such as classical and advanced controllers such as sliding control and fuzzy control, but it has not previously dealt with the optimal parametric controller that will be discussed in this research.
Advanced Sliding Mode Control with Disturbance Rejection Techniques for Multi-DOF Robotic Systems Basal, Mohamed Abdelhakim
Journal of Robotics and Control (JRC) Vol. 6 No. 4 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i4.25779

Abstract

For the control of complex and non-linear systems such as robotic arms, especially in sensitive systems such as medical applications and chemical industries, it becomes necessary to improve the performance considering the balance between fast response and smooth, vibration-free, in addition to overcoming disturbances and model uncertainty. These and other reasons may be the reason for the failure of some linear and classical control systems. This research presents a hybrid control system that combines sliding mode control (SMC) with an active disturbance rejection controller (ADRC) for a three-degree-of-freedom (3-DOF) robotic arm. The research contributes to developing a robust control system that reduces the vibrations caused by the classical SMC and utilizes its advantages to achieve smooth, fast, high dynamic response. The proposed method combines the benefits of SMC stiffness for regulating the angular velocities and ADRC in disturbance compensation to regulate the angular positions, ensuring smooth and accurate control despite its relative complexity. The simulation results show that the classical SMC methodology provides superior performance compared to the traditional PIDC in terms of low settling time, but suffers from higher overshoot and large vibrations that sometimes cause a large value of tracking error. In contrast, the proposed control methodology contributes to the improvement of the robotic arm performance, achieving higher tracking accuracy, tracking error minimization, very low settling time, and clear vibration cancellation in both the output signals and the applied control signals. The proposed system has clear advantages, so it can provide a promising solution for robotic arms, particularly in industries demanding high performance, fast tracking and minimal vibrations.