Analysis and Optimization of the Control System of a Hydraulic Fine-Blanking Press

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Yi, Guodong; Zhang, Peng

Analysis and Optimization of the Control System of a Hydraulic Fine-Blanking Press Journal Article

Mechanics, Materials Science & Engineering, 13 , 2017, ISSN: 2412-5954.

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Authors: Guodong Yi, Peng Zhang

ABSTRACT. Fine-blanking is an efficient and precise machining method. The hydraulic control system of the fine-blanking press has an important influence on the forming efficiency and accuracy of the part. The paper puts forward an analysis and optimization methods of the control system for velocity stability. A hydraulic control system model is established and the main parameters of blanking process such as blanking force, blank holder force and counter force were calculated and analyzed. According to the velocity changes of the master cylinder with open-loop control in blanking process, the causes and effects of each change point and the variation characteristics of load, acceleration and displacement of master cylinder are elaborated. The velocity changes with closed-loop control based on velocity and position feedback are described and compared with that of the open-loop control. Based on the comparative analysis, the influences of the system and components on the velocity are studied, and the open-loop control is selected as the control method of the fine-blanking press. The optimal control strategy for the steady velocity of main cylinder is proposed with the automatic optimization algorithm and the simulation results.

Keywords: hydraulic fine-blanking press, open-loop control, closed-loop control, optimization, simulation

DOI 10.2412/mmse.39.87.164


[1] T. Schwarzgruber, T. E. Passenbrunner, L. Re. Control design for a multi input single output hydraulic cylinder system. 19th IFAC World Congress, Cape Town, South Africa, August 24-29, 2014

[2] W. Shen, J. Jiang, X. Su, H. R. Karimi. Control strategy analysis of the hydraulic hybrid excavator. Journal of the Franklin Institute 352(2015) 541-561

[3] K. Baghestan, S. M. Rezaei, H. A. Talebi, M. Zareinejad. An energy-saving nonlinear position control strategy for electro-hydraulic servo systems. ISA Transactions 59(2015) 268-279

[4] W. Ding, H. Deng, Y. Xia, X. Duan. Tracking control of electro-hydraulic servo multi-closed-chain mechanisms with the use of an approximate nonlinear internal model. Control Engineering Practice 58 (2017) 225- 241

[5] L. S. Coelho, M. A. B. Cunha. Adaptive cascade control of a hydraulic actuator with an adaptive dead-zone compensation and optimization based on evolutionary algorithms. Expert Systems with Applications 38 (2011) 12262–12269

[6] N. M. Tri, D. N. C. Nam, H. G. Park, K. K. Ahn. Trajectory control of an electro hydraulic actuator using an iterative backstepping control scheme. Mechatronics 29 (2015) 96–102

[7] C. Jia, X. Shan, Y. Cui, T. Bai, F. Cui. Modeling and simulation of hydraulic roll bending system based on CMAC neural network and PID coupling control strategy. Journal of Iron and Steel Research, International 2013, 20(10): 17-22

[8] G. Shen, Z. Zhu, J. Zhao, W. Zhu, Y. Tang, X. Li. Real-time tracking control of electro-hydraulic force servo systems using offline feed back control and adaptive control. ISA Transactions 67 (2017), 356-370

[9] P. Chalupa, J. Novák. Modeling and model predictive control of a nonlinear hydraulic system. Computers and Mathematics with Applications 66 (2013), 155–164

[10] Y. Ye, C. Yin, Y. Gong, J. Zhou. Position control of nonlinear hydraulic system using an improved PSO based PID controller. Mechanical Systems and Signal Processing 83 (2017), 241–259

[11] R. Li, J. Luo, C. Sun, S. Liu. Analysis of Electro-hydraulic Proportional Speed Control System on Conveyer. Procedia Engineering 31 (2012), 1185 – 1193

[12] C. Du, A. R. Plummer, D. N. Johnston. Performance analysis of a new energy-efficient variable supply pressure electro-hydraulic motion control method. Control Engineering Practice 60 (2017), 87–98

[13] K. M. Elbayomy, Z. Jiao, H. Zhang. PID Controller Optimization by GA and Its Performances on the Electro-hydraulic Servo Control System. Chinese Journal of Aeronautics 21(2008), 378-384

[14] B. N. Muhammad, S. Wang. Optimization Based on Convergence Velocity and Reliability for Hydraulic Servo System. Chinese Journal of Aeronautics 22(2009), 407-412

[15] H. Cao, H. Guo. Optimization of PID Parameters of Hydraulic System of Elevating Wheelchair Based on AMESim. Procedia Engineering 15 (2011), 3710 – 3714

[16] J. Zheng, S. Zhao, S. Wei. Application of self-tuning fuzzy PID controller for a SRM direct drive volume control hydraulic press. Control Engineering Practice 17 (2009), 1398–1404.

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