Adaptive control of Aerial vehicle gimbal using fuzzy-PID compensator

Obiora, Valentine; Achumba, Ifeyinwa E.

doi:10.1109/nigercon.2017.8281914

Cited by 7 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation results are shown Figures 9,10,11,12,13,14,15,16,17,18,19,20,21. Step 1: The author has done a search for components on Simulink.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

LQG, PID controller, ANN for single axis gimbal actuator

Danh¹

2022

EAI Endorsed Trans AI Robotics

View full text Add to dashboard Cite

Gimbal or other stable platforms have structures that move according to its functions. This is for the purpose of keeping track of the goals to the fullest. Tracking targets can become difficult as the subject moves further and further away and they are out of the gimbal’s allowable viewing range. Besides, under the influence of noise signals form outside space, it becomes even more difficult to observe the gimbal’s targets. To overcome above disadvantages, this paper is presented an adjustment method to limit above risks. Adjusting Linear Quadratic Gaussian (LQG) for expensive gimbal systems, noise signals are processed purely by Kalman filters to improve the function of observing targets. In addition, proportional- integral-derivative (PID) controller, artificial neural network in this case is also considered to verify the effectiveness of control methods listed below. In particular, ANN is the most effective control method today to deal with unwanted signals. These unwanted signals can cause worsening conditions during the operation of systems.Therefore, artificial network (ANN) is a solution to information and communication security problems. Simulation is done by Matlab. Novelty of the work: no previous research has been published for this genre. The study of this genre with the use of artificial intelligence is suggestive of the study of artificial intellligence technologies at a higher level. This category is also a suggestion for studying a smoother control method based on existing data.

show abstract

“…Simulation results are shown Figures 9,10,11,12,13,14,15,16,17,18,19,20,21. Step 1: The author has done a search for components on Simulink.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Speed tracking control [17] for ac-robots with harmonic drive is an endless source of inspiration. The techniques in [18,19,20,21] can be applied for ac-robots. There are many models applied by modern control algorithms [22,23,24].…”

Section: Introductionmentioning

confidence: 99%

LQG, PID controller, ANN for single axis gimbal actuator

Danh¹

2022

EAI Endorsed Trans AI Robotics

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…In three dimensions, the system needs to be designed with multiple gimbal axes to suit the purpose of use: I adjust the angle of view or the direction of the target to have the most accuracy even though the device moves at high speed in the air and it is not moving in a specific direction, based on the article of Obiora and Achumba [ 1 ]. Dynamic modeling of the gimbal in the universe or in the atmosphere of the planets is performed using independent joint control.…”

Section: Introductionmentioning

confidence: 99%

The Stability of a Two-Axis Gimbal System for the Camera

Danh

2021

The Scientific World Journal

View full text Add to dashboard Cite

Gimbal or an inertial stabilization platform (ISP) is used to stabilize the line of sight of an object or device that is tracking another object (LOS) with stationary or moving targets or targets moving forward. It can achieve precision when there is isolation between the tracker and the gimbal base. Studying the 2-axis tilt angle to create gimbal stability, especially in a camera, is a compelling subject for the automation field, as it is controlled by modern controllers. This paper presents a two-axis gimbal loop in which the LOS rate is stable, and I proceed to examine the stability of the system to get a better overview of the system properties. Through examining the stability of the system, I can choose from modern control methods to control them. The stability of the system used from the two analysis methods I present below gives me a visual view from the results achieved. The simulation is performed in MATLAB.

show abstract

Adaptive control of Aerial vehicle gimbal using fuzzy-PID compensator

Cited by 7 publications

References 10 publications

LQG, PID controller, ANN for single axis gimbal actuator

LQG, PID controller, ANN for single axis gimbal actuator

Gimbal Axes Control with PID Controllers

The Stability of a Two-Axis Gimbal System for the Camera

Contact Info

Product

Resources

About