ADRC using nonlinear control strategy is superior to the traditional PID controller.
自抗扰控制器采用非线性的控制策略，优于传统的PID控制器。
Because of the disadvantages of traditional PID controller, we used a new single neuron control.
针对传统PID控制的缺点，引入单神经元pid控制。
Neural network intelligence PID controller has many advanced properties compared with traditional PID controller.
同传统的PID控制相比较，神经网络智能PID控制有许多优点。
Results show that it is superior to traditional PID controller in performance and improves greatly system performance.
结果表明，它比常规pid控制器性能优越，使系统性能显著提高。
The stable design rules of the fuzzy PID controller were obtained based on its relationship with the traditional PID controller.
最后利用模糊PID控制器与传统PID控制器的联系，进一步推算出符合稳定性要求的模糊PID控制器设计规则。
The results show that the controller is better in comparison with traditional PID controller, especially under strong disturbance.
结果表明，滑模模糊控制的性能明显优于PID控制，在强干扰时表现出良好的鲁棒性。
In chapter 2, we analyse the the weakness of traditional PID controller and the over reliance of Smith predictive control on the model.
本文在第二章中分析了常规PID控制器的弊端和史密斯预估控制对模型的过度依赖问题。
But a traditional PID controller cannot obtain a good effect on real-time controlling, owing to uncertain controlled object and environment.
但传统的PID控制由于控制对象和环境的不确定性，往往难以达到满意的实时控制效果。
For the shortage of fuzzy controller, the double model controller was adopted, optimizing fuzzy controller through traditional PID controller.
针对模糊控制算法的不足，建立了双模控制器，用传统的PID算法优化模糊控制器。
A set of software was developed. This PID controller and traditional PID controller were applied to boiler. The control results were compared.
开发了一套软件，并分别将它和传统的PID控制器作用到电阻炉，对二者的控制结果进行了比较。
But a traditional PID controller can not obtain a good effect on line real time controlling, owing to uncertain controlled object and environment.
但常规的PID控制由于控制对象和环境的不确定性，往往难以达到满意的实时控制效果。
One of the immune controllers is chosen to draw a comparison with traditional PID controller in the aspects of dynamic response, robustness and delay resistance.
并选用其中的一种免疫控制器与传统的PID控制器在动态响应、鲁棒性以及抗时延方面进行了对比。
Aiming at the nonlinear object of boiler with instability parameter and difficult building math model, using traditional PID controller can't reach the best effect.
针对锅炉这种具有非线性、参数不稳定、难以建立精确数学模型的控制对象，采用传统的PID控制，效果不佳。
Traditional PID controller has the characters of simple structure, robustness, easy to implement and so on and has been applied widely with a very good control effect.
传统PID励磁控制器结构简单，具有一定的鲁棒性，容易实现，有着广泛的应用，并取得了良好的控制效果。
Simulation results show that the controller is better in comparison with traditional PID controller, and it has stronger robustness for the change of system parameters.
仿真结果表明，滑模变结构控制的性能优于常规的PID控制，在系统参数变化时表现出更强的鲁棒性。
This paper introduces the single neural cell adaptive control based on the traditional PID controller and puts the optimization goal of the engine speed control system.
本文在常规的PID控制的基础上引入单神经元自适应控制，提出了发动机转速控制的优化目标。
However, variable air volume system itself is strongly coupled and nonlinear, the traditional PID controller is usually difficult to achieve satisfactory control effect.
但由于变风量空调系统本身的强耦合、非线性等特点，传统PID控制往往难以达到满意的控制效果。
Since the parameters of model for electric heater vary with the temperature, the control effect of traditional PID controller is not perfect when the temperature varies.
由于电加热器模型参数具有随温度而变化的时变特性，当温度大范围变化时，采用常规PID控制器控制效果不理想。
It has been indicated by the simulating results that the fuzzy-PID controller has shorter stable time and smaller stable error compared with the traditional PID controller.
仿真结果表明，模糊pid控制器在稳定时间、稳态精度上均比传统PID控制器有较大的改进。
Presented substituting an intelligent single neuron controller for the traditional PID controller to improve the Field Oriented Vector control performance of induction motor.
文中提出了采用单神经元智能控制器代替传统PID控制器以改善异步电动机矢量控制的性能。
The designed system was simulated using MATLAB, and the results show that the self-adapting and robustness of the fuzzy controller are better than that of the traditional PID controller.
利用MATLAB对控制系统进行仿真，结果表明，该控制器自适应能力及鲁棒性比传统PID控制器更强。
Steady and dynamic performance of this system can be improved obviously with a correction factor to adjust to the fuzzy rules of fuzzy controller to replace the traditional PID controller.
用一种带修正因子对模糊规则进行调整的模糊控制器取代传统的PID控制器，能明显改善系统的稳态和动态性能。
So, this paper combines the advantage of traditional PID controller, in consideration of characteristics of realizing fuzzy control and puts forward the thoughts of the fuzzy PID controller.
因此，结合传统PID控制器的优点，同时，考虑到模糊控制实现的特点，提出了模糊pid控制器的设计思想。
A set of software that can tune the scaling factors of the PID fuzzy controller on line was developed, this PID controller and traditional PID controller were applied to digital servo systems.
开发了一套能在线调整PID参数的模糊控制方法的软件，并分别将它和传统的PID控制器作用到数字随动系统中。
The experimental results show the single neuron PID can take the place of traditional PID controller and it has simple structure and can be implemented easily with strong self-adaptive ability.
实验结果表明：单神经元pid控制器可以代替传统的PID控制器，其结构简单、易于实现并且具有较强的自适应能力。
In light of traditional PID controller parameters optimization with manual cut-and-try method, a novel kind of PID parameters optimization strategy based on ACA (Ant Colony Algorithm) was proposed.
针对传统的PID控制器参数多采用试验加试凑的方式由人工进行优化，提出了一种新型的基于蚁群算法的PID参数优化策略。
Directed the feature of traditional PID controller and fuzzy controller in process control, the paper presents a new controller's construction with the advantages of two controllers above mentioned.
本文针对传统PID控制器和模糊控制在过程控制应用中的一些特点，提出结合两者之长的一种新型控制器结构。
Because of the wind speed measurement and accurate system model are hard to obtain, so it's difficult to achieve good results by using the traditional pid controller in case of rapidly variable wind.
由于风速测量的不准确性以及很难获得风力发电系统的精确模型，故采用传统的PID控制器难以在风速快速变化的情况下实现良好的控制效果。
Using sliding mode variable-structure control method to design controller, carry on stimulating and make contrast with the traditional PID in order to justify its superiority in stabilized effects.
利用滑模变结构控制方法设计控制器、进行仿真，并与传统的PID控制进行仿真对比，以验证其在减摇效果上的优越性。
The traditional PID control and fuzzy adjustable PID control are both used for designing the controller.
控制器采用传统PID控制和模糊自适应PID控制两种控制方案。
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