Fuzzy Logic-Based Self-Tuning PID Controllers Using Parameters Adaptive Method for Stabilization of a Two-Axis Seeker Gimbal

Solaiappan, Senthil Kumar; Anitha, G.

doi:10.1080/03772063.2021.1984319

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…It is also seen that PID controllers are combined with FL to increase their robustness. Instead of fixed PID coefficients, online coefficient tuning was performed with FL and tested on gimbal stabilizations [21,22]. This study carried out studies within the scope of stabilization of the gimbal used in a missile.…”

Section: Introductionmentioning

confidence: 99%

Stabilization of Two Axis Gimbal System with Self Tuning PID Control

ŞAHİN

2023

Journal of Polytechnic

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Gimbal is a system that provides locking and tracking of the seeker on the target in missiles and increases the angle of view with its mobility in two axes. In this study, stabilization of a two-axis gimbal system used in the missile was carried out. In gimbal stabilization, adaptive controllers are preferred instead of classical controllers due to unbalance, cross-coupling, and unmeasurable disturbances. A Self Tuning PID controller based on Fuzzy Logic was developed for axis controls in the stabilization algorithm. Thanks to this controller, which works with the principle of choosing the most appropriate coefficient at every step, it was possible to control with less than 3% errors in the tests performed with the flight simulator. In addition, a PID controller whose coefficients are optimized with Particle Swarm Optimization is designed for comparison purposes. In experimental studies, it was seen that PID with adjustable coefficients gave better results than the fixed PID.

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Section: Introductionmentioning

confidence: 99%

Stabilization of Two Axis Gimbal System with Self Tuning PID Control

ŞAHİN

2023

Journal of Polytechnic

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“…Due to these uncertainties and distortions, different control methods have been tried in the literature [7,8]. Some of the well-known techniques in this context in the literature are Sliding Mode Control [9,10] due to its fast response time and robustness, H∞ control [11,12], which can optimize different features of the system response together, Fuzzy Logic [13,14] due to adaptable to nonlinear systems and classical PID controllers that can be easily designed and implemented [15,16].…”

Section: Introductionmentioning

confidence: 99%

Gimbal Axes Control with PID Controllers

Şahin¹

2023

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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Gimbal is a system in missiles that allows the seeker to lock onto the target and follow it and increases the angle of view with its mobility in two axes. In this study, the control of the axes of a two-axis gimbal system used in the missile was carried out. PID controller tuned with Particle Swarm Optimization (PSO) is used in the control algorithm. In the optimization, a smoother controller is aimed by using the multi-objective objective function, which also includes the controller output with the position error. At the same time, the bandwidth of the system is also included as a constraint. The Butterworth Polynomial Method (BPM), which can adjust the coefficient according to the bandwidth criterion, was used for comparison purposes. As a result of the experimental studies show that the PID tuned with PSO can control the system with a lower positional error by responding faster to external factors than the PID designed with BPM.

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