【摘要】 传统二自由度PID(比例 积分 微分 )调节器中二自由度化系数α、β、γ ,根据经验值一次性选定 ,这样虽然能满足一般控制系统的控制要求 ,但是难以克服系统参数摄动或外界扰动对系统造成的影响。针对这一问题 ,提出了一种模糊自整定方法。该方法将模糊分类、模糊推理、特征量辨识等控制算法结合起来 ,自动整定二自由度化系数使系统响应达到期望的性能指标。仿真结果表明该方法是有效的更多还原

【Abstract】 In the traditional control method of the two degree of freedom controller, the coefficients of two degree of freedom are chosen depending on experience. This method is easy, quick and convenient. But its disadvantage is the coefficients of two degree of freedom PID controller is fixed, they can’t adapt to the variations of the plant parameters, the performance are still not satisfactory under wide operation ranges. This paper presents the parameter self tuning of α, β, γ in the two degree of freedom regulator, which synthesizes pattern classification, fuzzy inference and feature recognition. The result of the self tuning reach the requirements proposed by the user. The validity of the method is verified by the simulation result.\;更多还原