Energy saving and Fuzzy-PID position control of electro-hydraulic system by leakage compensation through proportional flow control valve

Wrat, Gyan; Bhola, Mohit; Ranjan, Prabhat; Mishra, Surendra Kumar; Das, J. C.

doi:10.1016/j.isatra.2020.01.003

Cited by 63 publications

(37 citation statements)

References 21 publications

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“…Furthermore, the parameters of this system greatly vary and are extremely sensitive when the piston rod moves at a shock acceleration. The control accuracy reported in this work is considerably higher than those reported in previous studies that only focus on single fluid-power (hydraulic or pneumatic) actuators, such as [62], by comparing tracking errors reported within short periods.…”

Section: B Industrial Implementationcontrasting

confidence: 66%

Robust Finite-Time Convergence Control Mechanism for High-Precision Tracking in a Hybrid Fluid Power Actuator

et al. 2020

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In this study, a novel multiphase converged control structure with a switching mechanism is established based on the fundamentals of the fast-terminal sliding mode. This control structure achieves an excellent performance in a nonlinear dynamic system, and its primary objective is to control the piston trajectory in an innovative electrohydraulic, pneumatic, and mechanical hybrid system. This work focuses on abrupt gain-scheduled acceleration, which has been rarely studied in the literature but has increasingly diverse high-technology applications across various industries. The greatest challenge lies in the sensitivity and instability of the system during a sudden actuator acceleration. Moreover, the system parameter uncertainties and external disturbances strongly influence the degree of control of the system. By inheriting the robustness and fast convergence properties of sliding-mode algorithms, the proposed control law not only guarantees a finite-time convergence of tracking errors to their origin but also reduces the impact of composite disturbances in an extremely rapid experimental process. The effectiveness of the proposed structure is analyzed via numerical simulations and industrial implementation.

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Section: B Industrial Implementationcontrasting

confidence: 66%

Robust Finite-Time Convergence Control Mechanism for High-Precision Tracking in a Hybrid Fluid Power Actuator

et al. 2020

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“…Different control algorithms such as PID, 46,47 fuzzy logic, 48–49 generalized super-twisting algorithm 50 and fuzzy-PID position 51 are already well established and are in use in real-life applications. In recent times, the Electro-Hydraulic Actuators (EHA) control and Digital Displacement Technology are evolved, which are directly related to improving the energy efficiency of a power hydraulic system.…”

Section: Different Strategies Of Energy Savingsmentioning

confidence: 99%

“…The dynamic performance of a hydraulic system can be improved by applying different control algorithms such as proportional integral derivative (PID), 46,47 fuzzy logic, 48–49 generalized super-twisting algorithm, 50 and fuzzy-PID position. 51 All these control algorithms are essential to improve the energy efficiency of a power hydraulic system.…”

Section: Introductionmentioning

confidence: 99%

Energy-saving strategies on power hydraulic system: An overview

Mahato

Ghoshal

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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Different strategies for improving the energy efficiency of a power hydraulic system have been reviewed in this article. The energy-saving scheme is classified into three categories: S ystem design, Improving components or product functions and Loss reduction. The sub-categories of energy-saving strategies are discussed briefly. Also, different energy-saving potentials of power hydraulic system are presented in tabular form for clear understanding on the chronological development toward energy-efficient fluid power system.

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“…Researchers have proposed many solutions to solve the problems of variable working conditions and inertial disturbance in the application of hydraulic servo system, such as fuzzy logic, synovial membrane, adaptive control and so on. Gyan Wrata et al applied the PID controller set by the fuzzy controller to excavate electromechanical hydraulic actuators to improve the control accuracy, compensate the leakage of proportional flow control valve, and reduce the energy loss [10] . Wei Sun et al designed a reduced adaptive fuzzy system together with a compensation term which can reduce possible chattering phenomena and achieve better control performance [11] .…”

Section: Introductionmentioning

confidence: 99%

An Improved DDPG and Its Application Based on the Double-Layer BP Neural Network

Zhang

Gao

et al. 2020

IEEE Access

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This paper focused on three application problems of the traditional Deep Deterministic Policy Gradient(DDPG) algorithm. That is, the agent exploration is insufficient, the neural network performance is unsatisfied, the agent output fluctuates greatly. In terms of agent exploration strategy, network training algorithm and overall algorithm implementation, an improved DDPG method based on double-layer BP neural network is proposed. This method introduces fuzzy algorithm and BFGS algorithm based on Armijo-Goldstein criterion, improves the exploration efficiency, learning efficiency and convergence of BP neural network, increases the number of layers of BP neural network to improve the fitting ability of the network, and adopts periodic update to ensure the stable operation of the algorithm. The experimental results show that the deep learning network based on the improved DDPG algorithm has greatly improved the performance compared with the traditional method after multiple rounds of self-learning under variable working conditions. This study lays a theoretical and experimental foundation for the extended application of deep learning algorithm.

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Energy saving and Fuzzy-PID position control of electro-hydraulic system by leakage compensation through proportional flow control valve

Cited by 63 publications

References 21 publications

Robust Finite-Time Convergence Control Mechanism for High-Precision Tracking in a Hybrid Fluid Power Actuator

Robust Finite-Time Convergence Control Mechanism for High-Precision Tracking in a Hybrid Fluid Power Actuator

Energy-saving strategies on power hydraulic system: An overview

An Improved DDPG and Its Application Based on the Double-Layer BP Neural Network

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