中英文翻译--常规pid和模糊pid算法的分析比较(编辑修改稿)

中英文翻译--常规pid和模糊pid算法的分析比较(编辑修改稿)内容摘要：

e of classical PID controller for both the tracking problem and the step disturbance rejection. The fuzzy sets are assumed to have initially symmetrical layout and the parameters of both regulators are tuned using for example by Ziegler Nichols method. To improve behavior of such designed fuzzy controller it is necessary either to manually change the quantities of fuzzy controller or to use some optimum methods which do this operation. One which can be implied are geic algorithms. Different quantities can be changed to reach the optimum values. These quantities are fuzzy set layout, number of fuzzy sets, rule base mapping, the parameters of basic fuzzy controllers and their various binations. Note that all the optimum must be always performed according to the chosen inference and defuzzification method. It is apparent that process of optimum can take a lot of time. Moreover this method is contingent on existence of accurate mathematical model of the process because in vast majority of the cases it is not possible to perform any kind of optimum directly on real process. The model usually does not correspond to real system which limits the success of optimum methods. The prime idea of fuzzy control was to apply it at the place where there is no deep knowledge of transfer function of controlled system and where this knowledge can be hardly identified. These are often the cases where the fuzzy control leads to better performance paring with classical approach. Also for this instance it seems to be advantageous to have physical connection between fuzzy controller and its classical counterpart because it can significantly simplify the adjustment of regulator for real process. The heuristic optimum of parameters settings is also suitable for fuzzy PI controller with unified universe where the parameters are the same as the ones of classical PI controller. The parallel bination of fuzzy PI and PD controllers can be used for heuristic optimum of parameters settings but it should be noted that because of the presence of double proportional part in this regulator the adjusted parameters will differ from the ones of classical PID controller. But important thing is that the adjustment of this parameters is still in the same physical meaning. Note that for all previously mentioned controllers it is also possible to employ time transformation (sample time modification) 7 without having to change the scope of universes. 2. FUZZY PI CONTROLLER DESIGN The control signal generated by fuzzy PI controller (according to [2]) is A realization of the fuzzy PI controller is shown in Fig. 3. Let us assume plant described by following transfer function to illustrate and to pare behavior of fuzzy PI controller with classical continuous PI controller: Using the tuning method from [6] we obtain parameters K=, TI = s. The responses of controlled system using this control algorithm are shown in Fig. 4. The disturbance acts on the input of the system. Fuzzy contr。