Controller performance assessment algorithms based on minimum variance for single loop control system , multivariate control system and cascade control system are derived in the paper 本文利用最小方差准则，给出了单变量、多变量及串级控制回路的性能评价方法，并对工业中两个精馏塔控制系统的性能进行了分析。
Therefore , combining single - variable dmc with cascade control can form dmc - pid cascade control , which can retain structure characteristic of cascade control as well as performance virtue of predictive control 因此，把单变量dmc和串级控制相结合，形成dmc - pid串级控制，既能保持串级控制的结构特点，又能保持预测控制的性能优点。
Nowadays the single circuit control system is used commonly . and many specialists suggest that the series connection control system is better . so what are the advantages of the series connection control system and what objects are fit most 二是确定控制系统，目前常采用单回路控制系统，但许多专家又提出宜采用串级控制系统，串级控制究竟有何好处
Grounded on cmac learning controller and cascade control system , the cascade cmac learning control strategy , characterized in good adaptabil ity , is presented , and which can be applied in computer real - time control 结合cmac学习控制器和串级控制系统，文中后提出了主蒸汽温度的串级cmac学习控制策略，其速度快，自适应性强，非常适合于计算机实时控制。
The neural network - fuzzy control based on clustering analyse is applied to the water level control of boiler in power plant . it can be seen from the simulation that the control quality is high and robustness is strongo 将基于聚类分析的神经网络?模糊控制器应用于火电厂锅炉水位串级控制系统进行仿真研究，实验表明该算法确定的控制系统控制品质较高，鲁棒性强。
4 . according to the special characteristic of the question for study , the method of gpc - pid cascade control is discussed , and a simulation experiment is made to show its superiority comparing with conventional pid control 4 、针对课题的具体情况，讨论gpc - pid串级控制的思想，作出了仿真实验，并通过与常用pid控制效果进行的比较，展示了采用gpc - pid串级控制的系统在控制效果上所具有的优越性。
To series connection control system , in the paper , the more suitable objects are suggested by using the differential equations , equations deducing and comparing the stubbornness of series connection control system and single circuit control system to overcome the disturbances 对于串级控制系统，本文采用微分方程法，通过公式推导，比较串级控制系统与单回路控制系统对干扰的克服能力，提出了适用于串级控制的空调对象。
It ameliorates the disadvantages of the smith predictor from control method combinations , and then improves the robust - quality to parameter change . we also have a research about the combination system between the cascade control and the fuzzy control 模糊控制器是解决控制系统中大纯滞后问题的一个新的控制策略，本文提出了将模糊控制引入串级控制系统来优化串级控制系统控制品质的方案，即用模糊控制器来替代常规的pid控制器。
The software adopted this auto - tuning algorithm is rationally designed ; its human machine interface is friendly ; its functionality is versatile ; and its application scope is broad , not only for single - loop control system , but for cascade and feedforward control systems 采用该算法开发的pid参数自整定软件包设计合理、界面良好、易于操作、功能完善、应用范围广，不仅适合于单回路控制系统的整定，而且也适合于串级控制和前馈控制复杂系统的整定。
Dynamic matrix control ( dmc ) can directly treat with objects with pure delay , has strong adaptability to large inertia , approved tracking performance and better robustness , but primary steam temperature object and boiler fuel regulating object are both intricate objects with large inertia and time delay , which are difficult to obtain perfect control effect using routine pid cascade control 由于动态矩阵控制( dmc )能直接处理带有纯滞后的对象，对大惯性有很强的适应能力,有良好的跟踪性能和较强的鲁棒性，而主汽温对象和锅炉燃料调节对象均是具有大惯性大延迟的复杂对象，用常规pid串级控制难以取得理想的控制效果。
