2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON) 2017
DOI: 10.1109/intercon.2017.8079678
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PD and PID control of a maglev system an experimental comparative study

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Cited by 10 publications
(3 citation statements)
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“…According to [32], a PID-based controller outperforms the PD controller because the steady state error was lowered to zero when two feedback control systems (PID & PD) were used to levitate a magnet disc utilizing the lower magnet of the Maglev according to however the PID control system need to exert more control effort during the initial two seconds of operation. In terms of robustness handling of noises and uncertainties, the integrated PID and adaptive sliding-mode controller are employed in a number of experimental findings [33].…”
Section: Magnetic Levitationmentioning
confidence: 99%
“…According to [32], a PID-based controller outperforms the PD controller because the steady state error was lowered to zero when two feedback control systems (PID & PD) were used to levitate a magnet disc utilizing the lower magnet of the Maglev according to however the PID control system need to exert more control effort during the initial two seconds of operation. In terms of robustness handling of noises and uncertainties, the integrated PID and adaptive sliding-mode controller are employed in a number of experimental findings [33].…”
Section: Magnetic Levitationmentioning
confidence: 99%
“…Several studies have used various methods to control object of a maglev system, including controlling maglev objects using sliding mode control [2], but the maglev equation is changed from nonlinear to linear so that if implemented on the plant the controller will not be optimal. Then, control of a magnetic levitation system using PD (Proportional Derivative) and PID (Proportional Integral Derivative) controller [3]. The PID control system demonstrates better performance in steady-state error and settling time rather than PD control system.…”
Section: Introductionmentioning
confidence: 99%
“…Topics: from MIMO IO to MIMO FO controllers, applications. Some topics of this chapter are based on the work published in[13].Chapter 9: Control of SISO and MIMO time-delay processes. Contents: PID control of SISO time-delay plants, MBPC control of SISO and MIMO stable time-delay plants, discrete-time LQR (Linear Quadratic Regulator) control of SISO and MIMO time-delay plants, LQ predictive control in the discrete state-space domain of SISO and MIMO stable, unstable, non-minimum phase and integral time-delay plants.Seven4-hour sessions in a 16-week semester are employed to perform the following experiments: Lab 1: Process identification (Control Systems Lab).…”
mentioning
confidence: 99%