气动执行器位置控制器的综合

2009 International Siberian Conference on Control and Communications Pub Date : 2009-03-27 DOI:10.1109/SIBCON.2009.5044839

N. Markov, I. A. Shipitko, Taras V. Bezruchko

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引用次数: 4

摘要

本文介绍了气动执行机构的预测控制。由于空气的摩擦和可压缩性，气缸是一个复杂的非线性物体。用传统的控制方法对这样的物体进行精确、快速的控制是非常困难的。基于对象神经网络模型的预测控制是控制复杂非线性对象的现代方法之一。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Synthesis of the position controller for the pneumatic actuator

This paper describes predictive control of pneumatic actuator. Pneumatic cylinder is a complex nonlinear object because of friction and compressibility of the air. A precision and fast control such an object using traditional methods of control is very difficult. Predictive control with neural networks model of the plant is one of the modern approaches to control complex nonlinear objects.

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2009 International Siberian Conference on Control and Communications

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