Real time position control of electrohydraulic system using PID controller

Kumawat, Ashok Kumar; Kumawat, Renu; Rawat, Manish; Rout, Raja

doi:10.1016/j.matpr.2021.05.203

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…The proportional, integral, and derivative components make up the three basic portions of the linear Proportional-Integral-Derivative (PID) controller, a commonly used control mechanism. Equation ( 7) [9] determines the PID controller's output in its discretetime version.…”

Section: Linear Proportional-integral-derivative (Pid) Controllermentioning

confidence: 99%

“…In order to meet the changing requirements of electric vehicles (EVs), provide user convenience, and encourage the wider use of electric mobility, fast charging stations are essential. When there is a significant demand for EV charging, efficient frequency control is essential for controlling the charging load and preserving grid stability [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Studying the Optimal Frequency Control Condition for Electric Vehicle Fast Charging Stations as a Dynamic Load Using Reinforcement Learning Algorithms in Different Photovoltaic Penetration Levels

Altarjami,

Alhazmi

2024

Energies

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This study investigates the impact of renewable energy penetration on system stability and validates the performance of the (Proportional-Integral-Derivative) PID-(reinforcement learning) RL control technique. Three scenarios were examined: no photovoltaic (PV), 25% PV, and 50% PV, to evaluate the impact of PV penetration on system stability. The results demonstrate that while the absence of renewable energy yields a more stable frequency response, a higher PV penetration (50%) enhances stability in tie-line active power flow between interconnected systems. This shows that an increased PV penetration improves frequency balance and active power flow stability. Additionally, the study evaluates three control scenarios: no control input, PID-(Particle Swarm Optimization) PSO, and PID-RL, to validate the performance of the PID-RL control technique. The findings show that the EV system with PID-RL outperforms the other scenarios in terms of frequency response, tie-line active power response, and frequency difference response. The PID-RL controller significantly enhances the damping of the dominant oscillation mode and restores the stability within the first 4 s—after the disturbance in first second. This leads to an improved stability compared to the EV system with PID-PSO (within 21 s) and without any control input (oscillating more than 30 s). Overall, this research provides the improvement in terms of frequency response, tie-line active power response, and frequency difference response with high renewable energy penetration levels and the research validates the effectiveness of the PID-RL control technique in stabilizing the EV system. These findings can contribute to the development of strategies for integrating renewable energy sources and optimizing control systems, ensuring a more stable and sustainable power grid.

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Section: Linear Proportional-integral-derivative (Pid) Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Studying the Optimal Frequency Control Condition for Electric Vehicle Fast Charging Stations as a Dynamic Load Using Reinforcement Learning Algorithms in Different Photovoltaic Penetration Levels

Altarjami,

Alhazmi

2024

Energies

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“…Numerous control techniques, such as the traditional PID, LQR, and others, have been thoroughly examined and verified by researchers 3 – 5 . Despite their widespread usage, these standard control theories frequently fall short in accurately tracking the desired reference due to the inherent uncertainties and nonlinearities of EHS.…”

Section: Introductionmentioning

confidence: 99%

Optimizing power consumption and position control in an electro-hydraulic system with cylinder bypass and NN-MPC

Khedr,

Awad,

Al-Oufy

et al. 2024

Sci Rep

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This study introduces an innovative approach to enhance the energy efficiency and position control performance of electro-hydraulic systems, employing a comprehensive comparative analysis. It presents and evaluates three control techniques: Proportional-Integral-Derivative (PID) control, Model Predictive Control (MPC), and Neural Network Model Predictive Control (NN-MPC). These methods are systematically assessed across varying load conditions. Notably, our research unequivocally establishes the exceptional performance of the NN-MPC approach, even when confronted with load variations. Furthermore, the study conducts an exhaustive examination of energy consumption by comparing a conventional system, where a flow control valve is not utilized as a hydraulic cylinder bypass, with a proposed system that employs a fully open Flow Control Valve (FCV). The results underscore the remarkable energy savings achieved, reaching up to 9% at high load levels.

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“…Engineering applications use EHSS for automobile active suspension( Shaer et al [1]), automobile power steering (Slavov et al [2]), aerospace actuation (Slavov et al [2]), robotic actuation (Binh et al [3]), machine tools (Li et al [4]), etc. The control laws that drive these huge industrial systems are mostly based on the linear control theory (Zhao et al [5]) especially PID controllers [6]. However, the dynamics of the EHSS are strongly nonlinear (Kumawat et al [7]) with parameter uncertainties (Merritt [8]).…”

Section: Introductionmentioning

confidence: 99%

chattering analysis of an electro-hydraulic backstepping velocity controller

ELLA ENY,

ANGUE MINTSA,

SENOUVEAU

et al. 2024

International Journal of Applied Mechanics and Engineering

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This paper focuses on the chattering analysis in a backstepping controller used to drive an electro-hydraulic servo system. The chattering phenomenon, well known in sliding mode control, strongly reduces operating performance while causing premature wear of the system. Four cases are studied to highlight the factors influencing the chattering in the backstepping control. In the first case, the effect of the unmodeled fast servo valve dynamics is analysed by comparing a reduced-order backstepping controller with a full-order controller. The second case analyses the sensitivity to the tuning gains of the backstepping controller. The third case emphasises the influence of the parameter of sign function approximation. The last case analyses the sensitivity of the parameter of the time derivative of the virtual controls. The simulation results in the Matlab/Simulink show that the chattering is mitigated by an appropriate gains tuning but above all an appropriate calculation of the derivatives of the virtual controls, particularly for high-order systems.

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Real time position control of electrohydraulic system using PID controller

Cited by 8 publications

References 8 publications

Studying the Optimal Frequency Control Condition for Electric Vehicle Fast Charging Stations as a Dynamic Load Using Reinforcement Learning Algorithms in Different Photovoltaic Penetration Levels

Studying the Optimal Frequency Control Condition for Electric Vehicle Fast Charging Stations as a Dynamic Load Using Reinforcement Learning Algorithms in Different Photovoltaic Penetration Levels

Optimizing power consumption and position control in an electro-hydraulic system with cylinder bypass and NN-MPC

chattering analysis of an electro-hydraulic backstepping velocity controller

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