Antenna azimuth position control with classical PID and fuzzy logic controllers

Okumuş, Halil İbrahim; Şahin, Erdinç; Akyazı, Ömür

doi:10.1109/inista.2012.6247049

Cited by 13 publications

(8 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 2-DOF formulation of antenna azimuth position control system is shown in Fig. 1 and Table 1 shows block diagram parameters of antenna azimuth position control system [11][12]. It represents the plant dynamics and the desired closed loop system performance specifications in frequency domain.…”

Section: General Concept Of Qftmentioning

confidence: 99%

“…For QFT controller, it is observed that actual closed loop variation is much less compared to specified closed loop variation. The time domain performances of the fixed plant , in [11][12] with respect to QFT controller is shown below in Table 2. …”

Section: F Analysismentioning

confidence: 99%

“…Various design information about QFT and its implementation is given for SISO, MISO and MIMO systems [1][2][4][5].Antenna azimuth position control using PID and Fuzzy Logic Controller with respect to a fixed plant is reported [12], position control using Proportional-Integral (PI) control and Linear Quadratic Gaussian (LQG) control [13] etc. While LQG control gives better performance in case of wind gusts noise.…”

Section: Introductionmentioning

confidence: 99%

“…To get a suitable voltage value for the motor a power amplifier is used to increase the amplitude of control signal. In this system, it is assumed that armature control of DC servo motor having fixed field is used [12]. The motor is then connected through a shaft and gear to the antenna, so as to control the position of the antenna.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Antenna azimuth position control using Quantitative feedback theory (QFT)

Sahoo

Roy

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

View full text Add to dashboard Cite

In most of the practical systems there exists some structured parametric uncertainty for which it is difficult to maintain good stability margins and performances for the closed loop system. In conventional control, if plant parameter changes we cannot guarantee about the system performance, hence it is necessary to design robust control for uncertain plant. There are various strategies involved for the antenna azimuth position control such as PID controller, fuzzy logic controller etc. But Quantitative feedback theory (QFT) has proved to be superior as it is not only taken care about the system performance but also the parametric uncertainty exists in the position control system by designing a robust controller. QFT is a frequency domain design technique which allows the trade-off (or quantification) among the simplicity of controller structure, minimization of cost of feedback, existing plant parametric uncertainty and the achievement of desired performance specification at each and every frequency of our interest. In this paper a robust QFT controller and Pre-filter has been designed for the 2-Degree of Freedom (DOF) parametric uncertain azimuth position control system to satisfy both the performance specifications and stability specifications. This work has been accomplished with the help of QFT Toolbox in MATLAB Environment. System response with proposed QFT controller and Pre-filter isshown and commented according to the result.

show abstract

Section: General Concept Of Qftmentioning

confidence: 99%

Section: F Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Antenna azimuth position control using Quantitative feedback theory (QFT)

Sahoo

Roy

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

View full text Add to dashboard Cite

show abstract

“…An antenna azimuth position is controlled using designed proportional-integral-derivative (PID) controller and fuzzy logic controller (FLC). From the closed loop response, FLC delivers the finest closed loop response compared with PID controller [4]. The firing angle of the motor is adjusted, it drives the antenna due changing the output angle.…”

Section: Introductionmentioning

confidence: 99%

Control of Antenna Azimuth Position using Fractional order Lead Compensator

Kumar¹,

Prakash²,

Rishivanth³

et al. 2018

IJET

View full text Add to dashboard Cite

This paper addresses the position control of antenna azimuth using proportional and integral (PI) controller and lead compensators. The fractional order calculus plays an important role for designing the robust control. The fractional order lead compensator is proposed for enhancing the closed loop performance of azimuth position control of antenna system. From the comparison of the closed loop responses, the proposed lead compensator delivers a superior closed loop performance when compared with PI controller and lead compensator.

show abstract

Kinematic modeling and motion control of a parallel robotic antenna pedestal

He,

Duan,

et al. 2023

Robotica

View full text Add to dashboard Cite

This paper deals with kinematic modeling and motion control of a novel antenna pedestal based on parallel robotic mechanism. Its active joints are two sliders equipped with DC motors on a circular rail. The synchronous and asynchronous motions of the two sliders enable the antenna to rotate in azimuth and pitch. In order to solve the problem of trajectory deviation caused by nonlinear friction and other uncertain disturbances, the structure of the antenna is described at the beginning, and then, the kinematic model is established based on geometry method. Then, the fuzzy PI (FPI) control system is designed based on the position feedback of the driving slider to realize the trajectory tracking of the desired curve. Finally, the parameters of the FPI controller are optimized and validated by Simulink simulation experiments. The tracking performance and the effectiveness of the control algorithm on prototype are verified by experiments of typical trajectory following control.

show abstract

Antenna azimuth position control with classical PID and fuzzy logic controllers

Cited by 13 publications

References 1 publication

Antenna azimuth position control using Quantitative feedback theory (QFT)

Antenna azimuth position control using Quantitative feedback theory (QFT)

Control of Antenna Azimuth Position using Fractional order Lead Compensator

Kinematic modeling and motion control of a parallel robotic antenna pedestal

Contact Info

Product

Resources

About