Control of Antenna Azimuth Position using Fractional order Lead Compensator

Kumar, E. Govinda; Prakash, R.; Rishivanth, S.; Anburaja, S A.; Krishna, Aditya

doi:10.14419/ijet.v7i2.24.12023

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…However, classical controllers have some drawbacks, such as a decrease in performance as system order increases, sensitivity to changes in system parameters, and poor performance with nonlinear systems. Therefore, different control techniques can be used to overcome these problems [1,2]. A position control system converts an input position command to the desired output position response.…”

Section: Introductionmentioning

confidence: 99%

“…Robot arms, antennas, and computer disk drives contain many applications for the position control system. The antenna azimuth system is a servo-controlled mechanism comprised of gears and feedback potentiometers [1]. Figure 1 depicts the physical layout model of the antenna azimuth control system [1].…”

Section: Introductionmentioning

confidence: 99%

“…The antenna azimuth system is a servo-controlled mechanism comprised of gears and feedback potentiometers [1]. Figure 1 depicts the physical layout model of the antenna azimuth control system [1]. Many researchers have offered various control techniques to address the position control problem for antenna azimuth systems.…”

Section: Introductionmentioning

confidence: 99%

“…Kumar et al [1] have presented the design of a lead compensator (LC), fractional order lead compensator (FOLC), and proportional and integral (PI) controller for the position control of the antenna azimuth system. The fractional order calculus is crucial for the design of robust control.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance of the optimal nonlinear pid controller for position control of antenna azimuth position system

Rasheed¹,

Yousif²,

Al-Wais³

2023

MMEP

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This study presents the improvement in the performance of the Proportional-integral-derivative (PID) controller for position control of antenna azimuth position system subjected to external disturbance. The design of the PID controller is developed by adding the arc tan function of error instead of the direct error in an integral part of the PID controller, yielding a Nonlinear PID controller (NPID). A Particle Swarm Optimization (PSO) is used in this study to tune the parameters of the PID and NPID controllers using the Root Mean Square Error (RMSE) cost function. The simulations have been accomplished under the MATLAB/Simulink environment. The simulation results show that a PSO-based NPID controller provides superior steady and transient state performance compared to a PSO-based PID controller. In addition, the effectiveness of the proposed controller is verified via numerical simulation compared to the performance of other controllers with and without external disturbance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%