采用支持向量机的非对称阀控液压缸模型预测控制

杨泰春; 陶建峰; 覃程锦; 刘成良

doi:10.7652/xjtuxb202001012

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采用支持向量机的非对称阀控液压缸模型预测控制

更新时间：2025-07-09

- 采用支持向量机的非对称阀控液压缸模型预测控制
- A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm
- 西安交通大学学报 2020年54卷第1期页码：93-100+107
- 作者机构：
  
  上海交通大学机械与动力工程学院,上海,200240
- 作者简介：
- 基金信息：
  
  : 2019-03-28。作者简介: 杨泰春(1994—),男,硕士生;陶建峰(通信作者),男,副教授,硕士生导师。基金项目: 上海张江国家自主创新示范区专项发展资金重点资助项目(201705-XH-C1085-015);国家重点研发计划资助项目(2018YFB1702500);上海隧道工程有限公司专项研究科研资助项目(2017-SK-09)
- DOI：10.7652/xjtuxb202001012
  中图分类号： TH132;TP273
- 网络首发：2020-01-10，
  
  纸质出版：2020
- 稿件说明：
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杨泰春, 陶建峰, 覃程锦, 等. 采用支持向量机的非对称阀控液压缸模型预测控制[J]. 西安交通大学学报, 2020,54(1):93-100+107.

A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm[J]. 2020, 54(1): 93-100+107.
杨泰春, 陶建峰, 覃程锦, 等. 采用支持向量机的非对称阀控液压缸模型预测控制[J]. 西安交通大学学报, 2020,54(1):93-100+107. DOI： 10.7652/xjtuxb202001012.

A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm[J]. 2020, 54(1): 93-100+107. DOI： 10.7652/xjtuxb202001012.

摘要

针对非对称阀控液压缸位置控制中出现超调与由阀芯换向引起的压力冲击问题

设计了基于支持向量机与序列二次规划算法的非线性模型预测控制器。采用支持向量机拟合控制信号与活塞速度的关系得到系统的近似模型

使用序列二次规划算法求解获取控制器输出; 通过增加输出约束以及满足输入约束实现每次控制过程中阀芯不换向、活塞快速到达目标位置并且无超调。数值仿真结果表明:在相对位置误差信号大于8%时

控制器输出的控制信号始终大于最大控制信号的90%

有效缩短了系统的响应时间; 在保证活塞位置无超调、阀芯不换向的条件下

实现了精确位置控制

稳态误差小于0.02%。所提算法实现了多约束条件下非对称阀控液压缸系统的无超调快速控制

具有一定的理论和工程价值。

Abstract

A nonlinear model predictive controller based on a support vector machine and a sequential quadratic programming algorithm is designed to solve problems of overpressure in the position control of asymmetric valve-controlled hydraulic cylinders and pressure shock caused by spool reversal. The support vector machine is used to fit the relationship between the control signal and the piston speed and to obtain an approximate model of the system

and the sequential quadratic programming algorithm is employed to obtain outputs of the controller. The valve spool is not reversed and the piston displacement quickly reaches the target position without overshoot by adding output constraints and constraints satisfying input. Numerical simulation results show that when the signal of relative position errors is greater than 8%

the control signal output by the controller is greater than 90% of the maximum control signal

which effectively shortens the response time of the system. At the same time

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references

SEPEHRI N, LAWRENCE P D, SASSANI F, et al. Resolved-mode teleoperated control of heavy-duty hydraulic machines [J]. ASME Journal of Dynamic Systems, Measurement, and Control, 1994, 116(2): 232 -240.

SUN Weichao, ZHAO Zhengli, GAO Huijun. Saturated adaptive robust control for active suspension systems [J]. IEEE Transactions on Industrial Electronics, 2013, 60(9): 3889-3896.

SIROUSPOUR M R, SALCUDEAN S E. Nonlinear control of hydraulic robots [J]. IEEE Transactions on Robotics and Automation, 2001, 17(2): 173-182.

LU Lu, YAO Bin. Energy saving adaptive robust control of a hydraulic manipulator using five cartridge valves with an accumulator [J]. IEEE Transactions on Industrial Electronics, 2014, 61(12): 7046-7054.

YE Yi, YIN Chenbo, GONG Yue, et al. Position control of nonlinear hydraulic system using an improved PSO based PID controller [J]. Mechanical Systems Signal Processing, 2017, 83: 241-259.

ZHENG Jianming, ZHAO Shengdun, WEI Shuguo. Application of self-tuning fuzzy PID controller for a SRM direct drive volume control hydraulic press [J]. Control Engineering Practice, 2009, 17(12): 1398-1404.

CENTIN S, AKKAYA A V. Simulation and hybrid fuzzy-PID control for positioning of a hydraulic system [J]. Nonlinear Dynamics, 2010, 61(3): 465-476.

YOUSIF H M, GANESH K. Interval type-2 fuzzy position control of electro-hydraulic actuated robotic excavator [J]. International Journal of Mining Science and Technology, 2012, 22(3): 437-445.

KALYONCU M, HAYDIM M. Mathematical modelling and fuzzy logic based position control of an electrohydraulic servo system with internal leakage [J]. Mechatronics, 2009, 19(6): 847-858.

GUAN Cheng, PAN Shuangxia. Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters [J]. Control Theory and Applications, 2008, 16(11): 1275-1284.

YANG Xuebo, ZHENG Xiaolong, CHEN Yuhong. Position tracking control law for an electro-hydraulic servo system based on backstepping and extended differentiator [J]. IEEE/ASME Transactions on Mechatronics, 2018, 23(1): 132-140.

席裕庚, 李德伟, 林姝. 模型预测控制: 现状与挑战 [J]. 自动化学报, 2013, 39(3): 222-236.

XI Yugeng, LI Dewei, LING Shu. Model predictive control-status and challenges [J]. Acta Automatica Sinica, 2013, 39(3): 222-236.

YUAN Haibo, NA H C, KIM Y B. Robust MPC-PIC force control for an electro-hydraulic servo system with pure compressive elastic load [J]. Control Engineering Practice, 2018, 79: 170-184.

KILIC E, DOLEN M, KOKU A B, et al. Accurate pressure prediction of a servo-valve controlled hydraulic system [J]. Mechatronics, 2012, 22(7): 997-1014.

江爱朋. 大规模简约空间SQP算法及其在过程系统优化中的应用 [D]. 杭州: 浙江大学, 2005: 10-12.

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