Speed control strategy for pump-motor hydraulic transmission subsystem in hydro-mechanical continuously variable transmission

Wei, Xiaozhao; Wang, Lei; Ni, Xiaomin; Han, Shuangman; Zhao, Xinhui; Shen, Li

doi:10.1007/s12206-021-1034-x

Cited by 7 publications

(1 citation statement)

References 17 publications

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“…22 In recent decades, evolutionary algorithms have been used to handle multimodality in the PID tuning of nonlinear systems. For instance, in hydraulic transmission systems, a seeker optimisation based PID control is developed to solve the poor controllability of the pump motor, 23 and a genetic algorithm (GA) tuned PID is proposed to resolve the under-voltage fluctuations occurring during high load conditions. 24 An improvised whale optimisation algorithm tuned PID was able to improve the power quality of an automatic voltage regulator system (AVR).…”

Section: Introductionmentioning

confidence: 99%

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Rajasekharan Unnithan,

Subramaniam,

Gunasekaran

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Control on the variable damping coefficients in the semi-active damper enhances ride comfort and vehicle stability. The semi-active electrohydraulic damper (SEH) presented in this study incorporates voice coil-based robust valve control to modify the damping coefficients. However, the position tracking accuracy of the voice coil actuator (VCA) gets negatively influenced by the nonlinearities such as load variations due to external disturbances, back emf, and dynamic damper characteristics. Therefore, to achieve excellent position control, a restart particle swarm optimisation with the Gompertz function (PSO-RG) is presented to obtain optimal tuning control gain for the proportional integral derivative controller. The PSO-RG algorithm applies Gompertz function-based particle coefficients and restarting technique. These techniques allow the PSO-RG to overcome the limitations of standard PSO, such as premature convergence and particle entrapment in local minima. The algorithm is tested in five selected benchmark functions for 10, 30 and 50 dimensions. The test data conveys that PSO-RG outperforms the standard PSO in mean, standard deviation, the best solution, and convergence speed. The transient response on identified and validated model of VCA demonstrated a 75.21% reduction in integral absolute error value than conventional PSO. The obtained maximum sensitivity and total variation values proved the robustness and smoothness of PSO-RG tuned PID control. Furthermore, the experimental analysis on the quarter car model shows that PSO-RG tuned PID precisely tracked the reference position with a 21.66% decrease in root mean square error to conventional PSO tuned PID. The CarSim co-simulation test results in the large van model indicate the need for precise VCA position control in enhancing ride comfort and improving the roll stability of the vehicle.

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Section: Introductionmentioning

confidence: 99%

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Rajasekharan Unnithan,

Subramaniam,

Gunasekaran

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Coordinated dual-rolling control of shifting in HMCVT based on KF-MPC algorithm with anti-disturbance capabilities

Liu,

Li,

et al. 2024

Computers and Electronics in Agriculture

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Design of Flexible Spherical Fruit and Vegetable Picking End-effector Based on Vision Recognition

Chen

Cao

Zhou

et al. 2022

J. Phys.: Conf. Ser.

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In order to solve the problems of poor versatility and high clamping damage rate faced by the end-effector of picking robots in today’s picking operation, a universal spherical fruit and vegetable picking die end-effector based on vision recognition with adaptive flexible force clamping is designed. This end-effector is a pneumatic three structure, while integrating a small air source device, in the control of a variety of sensors, through the fusion of multiple sensing and algorithm improvement and other ways, so that the mold end-effector in the picking operation, through visual recognition to determine the type of fruit and vegetables, and then provide the optimal gripping force. At the same time, the fingertip is equipped with a pressure sensor to adjust the pressure output in real time to achieve the overall picking process, the pressure is kept constant, and in the judgment of the completion of fruit and vegetable picking, a torque sensor is equipped to presume the completion of the picking operation by twisting the fruit strength. Finally, the actual product was made and several fruit and vegetable simulation experiments were carried out. The experimental structure is good, which verifies that the end-effector has good versatility and flexibility.

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Speed control strategy for pump-motor hydraulic transmission subsystem in hydro-mechanical continuously variable transmission

Cited by 7 publications

References 17 publications

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Coordinated dual-rolling control of shifting in HMCVT based on KF-MPC algorithm with anti-disturbance capabilities

Design of Flexible Spherical Fruit and Vegetable Picking End-effector Based on Vision Recognition

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