Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2026Regression-Based Controller Design Using LQR Data for a Two-Wheeled Gyroscopic Combat Robot
Oğuz, Yasin; Çetin, Gökhan; Ünker, Faruk
Two-wheeled gyroscopic robots are challenging to balance due to their intrinsic instability and sensitivity to external disturbances. This study proposes a hybrid control approach that combines a linear quadratic regulator (LQR) and a regression-based machine learning model to increase stability and adaptability. The regression model is trained with data collected from an LQR-controlled system to predict the optimal control responses under different conditions. The proposed approach utilizes state-space representation and the Jacobian linearization technique to design and simulate the robot’s performance under both controlled and random disturbance profiles. Simulation results indicate that the proposed method ensures steady motion even in dynamic, uncertain environments and increases resistance to external disturbances. Compared to the conventional LQR control method, the regression-enhanced model dynamically adjusts the control parameters, effectively reducing oscillations throughout the robot’s motion and achieving an average energy saving of approximately 80 %. These results demonstrate that robust, adaptive control in autonomous two-wheeled robotic systems can be achieved by fusing data-driven models with classical control techniques.
- MakaleYayıncıda açık erişim2024Gyroscopic precession control for maneuvering two-wheeled robot recoil stabilization
Çetin, Gökhan; Ünker, Faruk
A two-wheeled robot has high maneuverability and can spin around with a high velocity but is prone to roll over under a recoil force. Because the wheels are only used to control the maneuver speed of the robot. However, a two-wheeled robot using a gyroscope does not need the control of the wheels and can maintain the stability of the robot under a recoil force during maneuvers even if the gimbal of the gyroscope is not controlled by a torque. In this study, the equations of motion of the gyroscopic robot are derived via Lagrangian equations, and the balancing performance of the uncontrolled gyroscope is simulated via Matlab to determine a desired configuration for mechatronics system design. Then, a linear-quadratic regulator (LQR) is implemented to the chosen control moment gyroscope (CMG) configuration and compared in simulations of RecurDyn. LQR controller was used to prevent oscillating motions of double CMGs under the recoil force of a weapon. The simulation results showed that the gyroscopic two-wheeled robot is improved using an LQR controller and powerfully balanced in static with excellent performance.
- MakaleYayıncıda açık erişim2024Control moment gyroscope recoil stabiliser including LQR controller for two-wheeled robot
Çetin, Gökhan; Ünker, Faruk
The control moment gyroscope’s (CMG) success in emerging damping control under impact load is of great interest for new technical applications. This paper explores the potential use of a two-wheeled robot with an independent weapon, such as an automatic cannon robot, and considers employing CMG with LQR control as a weapon recoil stabiliser for the robot. Cannon turret firing accuracy is crucial for optimising LQR control parameters and enhancing weapon-robot performance. CMG with LQR control effectively reduces the recoil impact loads of the overhead weapon while compensating angular momentum to ensure safety for robot in firing. The precession motion of the gimbal from several milliradians to tens of milliradians is one of some contradictions for describing the effect of the recoil force on robot–gyroscope performance. This paper uses computational methods, combined with CAE software, to study the impact of increasing angular momentum on recoil-induced weapon vibrations.
- MakaleYalnız künye2022Resilient active seismic response control of structural systems
Çetin, Gökhan; Fadali, Mohammed S; Pekcan, Gökhan
This paper proposes a dissipative resilient observer and controller (DROC) design for a network controlled system (NCS) that handles faults, implementation errors, or cyberattacks that can be modeled as bounded controller or observer gain perturbations. It presents linear matrix inequality (LMI) conditions for the robust stability of the system in the presence of bounded perturbations in the observer and controller. Furthermore, a new LMI-based time-delay control (TDC) algorithm that mitigates the effects of perturbations due to time-delays in the NCS is introduced. The robust methodology is applied to active control of a scaled model of a structural system equipped with an active mass driver system. The results demonstrate that the proposed methodology is robust and ensures stable system response due to various types of earthquake base excitations.
- MakaleAçık Erişim2021Security system with RFID control using E-KTP and internet of things
Çetin, Gökhan; Fadali, M. Sami
This paper presents an optimal bandwidth allocation method for a networked control system (NCS) which includes time-driven sensor, event-driven controller and random channels. A hidden markov model (HMM) with a discretized state space is formulated for the random traffic to predict the network states using a suitable data window. Network bandwidth is allocated based on the predicted traffic state subject to bounds on the deterministic traffic that guarantee acceptable NCS performance and do not exceed hardware limitations. Bandwidth allocation uses l1 minimization of unmet bandwidth demand. A stability condition is derived for a variable but bounded sampling period interval. Computer simulation results show the effect of varying the number of discrete states for the HMM and the window width on bandwidth allocation. The results compare favorably with a published approach based on fuzzy logic.