采用云理论的控制系统性能评估方法研究

控制回路经过一段时间的运行后，往往会偏离设计时的性能指标，有时甚至会严重恶化，这些不确定性的存在增加了评估过程中定性与定量综合集成的难度。为了使控制系统的评估过程更加直观简便，分析了云理论的基本概念，研究了云发生器的相关算法，并将其应用在电机控制系统中，充分利用信息的模糊性和随机性，通过仿真得到待测云与标准云的对比结果，证明了云理论评估方法的有效性。

Reserch of Performance Evaluation for Control Systems Based on Cloud Theory

Process controllers can＇t achieve the design performance and even seriously deteriorate after a long time run. The presence of these uncertainties increase the difficulty of the qualitative and quantitative integration in the assessment process. In order to make the evaluation process of the control system more intuitive and simple, the basic concepts of the cloud theory and its generation algorithm are reviewed. Cloud theory is applied in a single variable motor control systems which takes full advantage of the fuzziness and randomness of the information. By the comparison with the standard cloud and the test cloud, simulation results prove the effectiveness of the assessment of the cloud theory.