Stable Switching Control Strategy of the Support Pressure and Velocity of Shield Machine Gripper Shoes

Liu, Nannan; Peng, Jishen; Song, Liye; Wang, Pinhe; Zhang, Kun

doi:10.1155/2019/6108796

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…[5][6][7] Moreover, it has made a great revolution in the development of engineering, such as high-performance rolling mills in mechanical manufacture, large-diameter shield machine in architecture, and stress environment simulation in laboratories. [8][9][10] Researchers have been studying different factors of the electrohydraulic system for decades to break through the bottleneck of system performance, which can be classified into two types: the internal factors and the external factors. The internal factors are the inherent characteristics of the electrohydraulic system that the regulation of which will not change for a very long time until some parts of the system are failed, including dead zone, hysteresis, friction, and so forth.…”

Section: Introductionmentioning

confidence: 99%

Global identification and compensation of nonlinear variable load for an electrohydraulic system

Sun

Sang

Duan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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In an electrohydraulic system, the load is an external factor that cannot obtain similar results by repetitive experiments compared with other internal factors. It can work a great change in an extremely short time determined by the characteristics of the loaded object, which is more difficult to be identified timely and compensated precisely. This paper first built the mathematic model of the electrohydraulic system containing load characteristics and illustrated most kinds of basic loads that possibly occur in it. Then, a practice nonlinear variable load composed of these basic loads is presented, and the corresponding effect to the electrohydraulic system is analyzed. Based on the summary of load, a nonlinear variable load compensation controller (NVLCC) with neural networks is proposed to identify the mathematic model of the electrohydraulic system. The nonlinear variable load is considered as a part of the model to be globally identified, and an adaptive sliding mode control method is combined to quickly converge the errors of system state variables. The compensation effectiveness is demonstrated by both rigid step response and dynamic sine response in the simulations, and the actual improvements are verified with the experiments using three different typical linear loaded objects and a representative nonlinear loaded object.

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