Robust Control Strategy for Pneumatic Drive System via Enhanced Nonlinear PID Controller

Salim, Syed Najib Syed; Rahmat, M. F.; Faudzi, Ahmad Athif Mohd; Ismail, Zool Hilmi; Sunar, Noorhazirah; Samsudin, Shamsul Anuar

doi:10.11591/ijece.v4i5.6853

Cited by 8 publications

(8 citation statements)

References 22 publications

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“…Furthermore. To overcome the issue related to the PI parameters tuning, an adaptive fuzzy logic based PID controller and adaptive neural network-based control algorithms have been investigated in [9][10][11][12][13][14]. However, saturation issue is solved, but the THD is not improved, especially when nonlinear loads, are connected.…”

Section: Introductionmentioning

confidence: 99%

Improved predictive current model control based on adaptive PR controller for standalone system based DG set

Ikaouassen¹,

Raddaoui²,

Rezkallah³

et al. 2020

IJECE

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This paper investigates an improved current predictive model control (PCMC) strategy with a prediction horizon of one sampling time for voltage regulation in standalone system based on diesel engine driven fixed speed of a synchronous generator. An adaptive PR controller with anti-windup scheme is employed to achieve high performance regulation without saturation issues. In addition, new method to obtain the optimal parameters of the adaptive PR controller to achieve high performance during the transition and in steady state is provided. To balance the power at the point of common coupling (PCC) as well as to feed a clean power to the connected loads, a three-phase voltage source inverter (VSI) with LRC filter is controlled using the developed improved PCMC strategy, where the output filter current is controlled using the predicting of the system behaviour model in the future step, at each sampling prediction time. The performances of the proposed configuration and the improved control strategy are verified using Matlab/Simulink interface.

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Section: Introductionmentioning

confidence: 99%

Improved predictive current model control based on adaptive PR controller for standalone system based DG set

Ikaouassen¹,

Raddaoui²,

Rezkallah³

et al. 2020

IJECE

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“…Numerous methods has been reported regarding reduction of overshoot in the pneumatic positioning system. For instance, it was reported in few studies [15][16][17][18] that the overshoot in the pneumatic system was reduced by utilization of the nonlinear-proportional integral derivative (N-PID) controller as the control strategy. Furthermore in those studies, a nonlinear gain function was combined with PID controller as a strategy for controlling the cylinder stroke of pneumatic system.…”

Section: Introductionmentioning

confidence: 99%

“…Due to stated considerations, this study proposes a new control technique to improve the pneumatic positioning system performance by incorporating a nonlinear gain function with the previous control strategy (predictive control with observer system). According to Syed Salim et al [16][17][18], the overshoot in the system response can be significantly reduced by incorporating a nonlinear gain function with the control strategy, while enhancement can be observed in transient response of the pneumatic positioning system. To the author's knowledge, no study has been conducted with the proposed method of this study in order to control the pneumatic positioning system.…”

Section: Introductionmentioning

confidence: 99%

A new technique to reduce overshoot in pneumatic positioning system

et al. 2019

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This paper presents a new approach for improving the performance of the pneumatic positioning system by incorporating a nonlinear gain function with observer system. System identification technique has been employed to represent the pneumatic system, while a model predictive control (MPC) with the observer system has been employed as the main controller to control the positioning of the system. The nonlinear gain function has been incorporated with the control strategy to compensate nonlinearities and uncertainties inherent in the parameters of the system. Unconstrained and constrained cases of control signals have been considered in this study. Simulation based on Matlab/Simulink indicated a reduction in overshoot of the system response for both cases due to additional nonlinear gain function in the strategy. Furthermore, remarkable enhancement was observed in effectiveness of this function while incorporated in constrained case, when this new strategy successfully improved the transient response in the pneumatic positioning system.

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“…In literature, Popov stability criterion and Lyapunov method are employed for this purpose. The stability analysis using the Popov stability criterion of nonlinear P, PD, PI and PID controllers on a simple robotic system with second-order dynamics has been extensively discussed in [14] and similar analyses have been investigated in different studies [15,16]. In these analyses, the systems are considered as Lure type of system.…”

Section: Introductionmentioning

confidence: 99%

Design, Analysis and Experimental Verification of a Novel Nonlinear Pi Controller

Ergenç¹,

Nak²,

Akkaya³

2017

ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY a - Applied Sciences and Engineering

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In this study, a novel variable gain PI controller structure is introduced. The proposed controller structure consists of a sectorbounded nonlinear function of the relative error value in cascade with a linear fixed-gain PI controller. The stability analysis of the closed loop system is examined through Popov stability criterion, Routh-Hurwitz stability method and stability boundary locus method for both second-order and higher-order systems. In addition, the performance of the controller against parameter variations and disturbances is investigated through some simulations for second order systems. An experimental study, an active suspension system, is conducted to examine the performance of the controller for higher order systems. In the literature, there are similar controllers, but the proposed one is superb in terms of effectiveness and stability. The new controller prevents the saturation of the controller signal. Simulation results and experimental studies reveal that proposed controller structure is quite effective for both lower and higher order systems.

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Robust Control Strategy for Pneumatic Drive System via Enhanced Nonlinear PID Controller

Cited by 8 publications

References 22 publications

Improved predictive current model control based on adaptive PR controller for standalone system based DG set

Improved predictive current model control based on adaptive PR controller for standalone system based DG set

A new technique to reduce overshoot in pneumatic positioning system

Design, Analysis and Experimental Verification of a Novel Nonlinear Pi Controller

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