journal article·2022Open access

Modeling and Simulation of Two Axes Gimbal Using Fuzzy Control

Ayman A. Aly, Mohamed O. Elhabib, Bassem F. Felemban, B. Saleh, Dac-Nhuong Le

Computers, Materials & Continua· Volume 72· Issue 1

Abstract

The application of the guided missile seeker is to provide stability to the sensor's line of sight toward a target by isolating it from the missile motion and vibration. The main objective of this paper is not only to present the physical modeling of two axes gimbal system but also to improve its performance through using fuzzy logic controlling approach. The paper is started by deriving the mathematical model for gimbals motion using Newton's second law, followed by designing the mechanical parts of model using SOLIDWORKS and converted to xml file to connect dc motors and sensors using MATLAB/SimMechanics. Then, a Mamdani-type fuzzy and a Proportional-Integral-Derivative (PID) controllers were designed using MATLAB software. The performance of both controllers was evaluated and tested for different types of input shapes. The simulation results showed that self-tuning fuzzy controller provides better performance, since no overshoot, small steady-state error and small settling time compared to PID controller.
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Research context

OpenAlex topics: Advanced Control and Stabilization in Aerospace Systems · Innovative Educational Techniques · Military Technology and Strategies

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References (20)

Show source-provided references
1. The stabilization loop design for a two-axis gimbal system using LQG/LTR controller
2. Modeling control and simulation of two axes gimbal seeker using fuzzy PID controller
3. Precision stabilization systems10.1109/TAES.1974.307961 ↗
4. Equations of motion for a two-axes gimbal system10.1109/7.953259 ↗
5. Mass properties factors in achieving stable imagery from a gimbal mounted camera10.1117/12.778245 ↗
6. Sliding mode control in a two-axis gimbal system
7. Control of double gimbal control moment gyro systems using the backstepping control method and a nonlinear disturbance observer10.1016/j.actaastro.2020.10.040 ↗
8. Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances10.1016/j.ymssp.2019.106548 ↗
9. Fuzzy PID controller for 2D differential geometric guidance and control problem10.1049/iet-cta:20060370 ↗
10. Dubois · Fundamentals of Fuzzy Sets · 2012
11. Development and tuning of fuzzy controller for a conical level system
12. Synchronization phenomena investigation of a new nonlinear dynamical system 4d by gardano's and lyapunov's methods10.32604/cmc.2021.013395 ↗
13. Stabilization loop of a two axes gimbal system using self-tuning PID type fuzzy controller10.1016/j.isatra.2013.12.008 ↗
14. Self-tuning PID controller design using fuzzy logic for half car active suspension system10.1007/s40435-016-0291-5 ↗
15. Two-axis gimbal system stabilization using adaptive feedback linearization
16. Stabilization of a two-dof gimbal system using direct self-tuning regulator10.15676/ijeei.2020.12.1.3 ↗
17. Le · Network Modeling, Simulation and Analysis in MATLAB: Theory and Practices · 201910.1002/9781119631477 ↗
18. Synchronization phenomena investigation of a new nonlinear dynamical system 4d by gardano's and lyapunov's methods10.32604/cmc.2021.013395 ↗
19. Optimizing bidders selection of multi-round procurement problem in software project management using parallel max-min ant system algorithm10.32604/cmc.2020.012464 ↗
20. Improving self-balancing and position tracking control for ball balancer application with discrete wavelet transform-based fuzzy logic controller10.1007/s40815-020-00994-8 ↗