基于DSP的多种智能控制算法的试验台

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1174524

Rong-Bao Chen, M. Fei, Honglian Deng, Yun-Zhi Huang

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引用次数: 4

摘要

本文主要研究运动控制系统的位置控制和轮廓误差问题。开发了基于DSP的控制算法测试平台。为了对试验台进行分析和仿真，采用了传统PID算法、模糊自适应PID算法、ANN PID算法和模糊神经网络控制算法等多种算法。为实时对象控制和系统性能评估进行了有价值的研究。

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The test-bed of multi-intelligent control algorithms based on DSP

This paper focuses on the position control and contour error of a motion control system. A test-bed of the control algorithms based on DSP is developed. In order to analyze and simulate the test-bed, many algorithms such as the conventional PID algorithm, fuzzy adaptive PID algorithm, ANN PID algorithm and fuzzy neural network control algorithm, are adopted. A valuable research for the real-time object control and system performance evaluation was carried out.

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Proceedings. International Conference on Machine Learning and Cybernetics

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