一种电液伺服系统的非线性预测控制

戴永彬; 吕旭

doi:10.13433/j.cnki.1003-8728.20180140

一种电液伺服系统的非线性预测控制

doi: 10.13433/j.cnki.1003-8728.20180140

戴永彬,
吕旭

1.
辽宁工业大学新能源学院, 辽宁锦州 121001

基金项目:

辽宁省自然科学基金项目（2013020036）资助

详细信息

作者简介:
戴永彬(1972-),教授,硕士生导师,博士,研究方向为非线性系统控制、电液伺服系统,dyb16@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2017-09-13
- 刊出日期: 2018-11-05

A Nonlinear Predictive Control based on Multi-objective Particle Swarm Optimization of Electro-hydraulic Servo System

Dai Yongbin,

1.
College of New Energy, Liaoning University of Technology, Liaoning Jinzhou 121001, China

摘要

摘要: 电液伺服系统属于典型的非线性系统，采用常规的控制方法很难保证系统的控制性能。针对电液伺服系统非线性控制问题，提出了一种多目标粒子群优化的非线性预测控制策略（MPSO-NPC）。将多目标优化思想和非线性预测控制相结合，设计了预测调节因子。调节因子既可以实现多目标优化，也可以调整目标函数中的预测权重。该算法具有计算负担小，实时性好的特点。基于MPSO-NPC的控制器能够有效地追踪电液伺服系统的设定输出，获得了较好的控制效果。仿真实验表明，本文所提控制方法是正确、有效的。
- 电液伺服系统 /
- 预测控制 /
- 粒子群优化 /
- MATLAB
Abstract: Owing to the nonlinearity of the electro-hydraulic servo system, the conventional control methods produce poor control performances. Aiming at the nonlinear control of the electro-hydraulic servo system, a nonlinear predictive control algorithm based on multi-objective particle swarm optimization (MPSO-NPC) is presented. The regulating factor proposed in this paper combines the notion of multi-objective optimization with nonlinear predictive control. This factor can realize the multi-objective optimization and adjusts predictive weights in a cost function. The burden of calculation in this algorithm is reduced, and a good real-time performance is produced. The controller based on the MPSO-NPC can effectively track the output of the electro-hydraulic servo system. The simulation results show the correctness and effectiveness of the method proposed in this paper.
- electro-hydraulic servo system /
- predictive control /
- particle swarm optimization /
- MATLAB

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参考文献(16)

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