分散PID功能模型可以广泛应用于滑模控制系统、自适应控制系统和内模控制系统。
The distributed PID function model can be widely used in sliding-mode control system, self-adaptive control system and internal-mode control system.
针对一阶和二阶纯滞后对象，本文提出了一种基于内模结构的仿人智能协调控制方法。
This paper proposed a method of coordinated control of human- like intelligent based on internal model structure for the first- order and second- order plants with time delay.
分析表明：内模解耦控制方案和交叉耦合解耦控制方案有一定的内在联系，且对电机参数变化都具有较强的鲁棒性。
It is shown that there is some internal relationship between IMC and CCM decoupling control schemes, and they have great robustness to the variety of parameters for electric machine.
设计了室内模拟装置：在水池内放置排列的钢电极和可控制干扰电场。
A special device with arranged steel electrodes and controlled interferential electric field in water pool was designed.
该方案结合了非线性内模控制、自适应机制和强酸当量（SAE）的概念。
The approach is based on combining the concept of non-linear internal model control, strong acid equivalent(SAE) and self-adaptive mechanism.
从IMC结构分析入手揭示了内模控制的本质，并在此基础上从鲁棒稳定性和鲁棒性能两个方面分析其鲁棒机理。
In this paper, the essential of IMC is presented based on structural analysis, on which the mechanisms of both robust stability and performance of IMC system are clarified.
仿真研究表明，只要恰当地选择神经网络正、逆模型的结构和辨识数据的长度等参数，实现加热炉神经网络内模自校正控制的结果是令人满意的。
Simulation shows that if chosen the appropriate ANN structure and training data quantity, its ANN internal model self-tuning control can be realized and the results can be acceptable.
外环则针对负载转动惯量的变化，设计了基于内模原理和零极点配置的自校正控制器。
To against variety of load inertia, a zero pole placement self tuning regulator basing on inner model is designed in the outer loop.
非线性动态系统的内模控制要求建立精确的对象正模型和逆模型，这对于大多数实际对象是难以做到。
In the internal model control design for nonlinear systems, the precise forward and inverse models of plant are required, but it is impossible in the majority of practical plants.
分析了内模控制(IMC)先进控制算法的原理和性能，运用IMC原理设计具体PID形式下的IMC—PID先进控制。
IMC (Interrnd Model control) advanced control's principle and performance are introduced, and the IMC - PID advanced control is designed according to the actual PID format with the IMC principle.
介绍了内模控制器(IMC)的基本原理，给出了系统存在不稳定零点和极点时的设计方法。
The fundamental principle of Internal Model controller (IMC) is introduced. The design method of the controller when the system has unstable zeroes and poles is proposed.
如果能把内模控制和PID控制结合起来，那么既可以满足复杂过程的控制要求，有能很好的应用于工业现场。
If it can be combined the advantage of IMC and PID, then it is not only satisfied complexity process need, but will be used splendidly in industry.
采用内部模型控制、模糊预估器和模糊控制器相结合，对模糊内模预估控制方法进行了研究。
A predictive control method of fuzzy internal model is proposed. It adopts internal model control, fuzzy predictor and fuzzy controller which are combined together to act on the controlled process.
理论分析和仿真结果表明，内模控制器能使系统获得优良的动态和静态性能，而且设计方法简单，控制器容易实现。
Theoretical analysis and simulation results show that IMC controller enables the system to be of good dynamic and steady performance. The design method is simple, and it is easy to be implemented.
仿真结果表明，与PID控制器相比，神经网络近似内模控制器能较好地抑制系统模型不确定性和工作点变化的影响。
Simulation studies demonstrate that the AIMNC strategy exhibits better control performance and robustness to model uncertainties and variation of operation points than the PID controller.
仿真表明， 多模型自适应内模 控制较之单内模 控制和常规PID 控制，在稳定性、鲁棒性和响应速度等方面，均具有明显的优越性。
Simulation result of given plant showed that the proposed MMA-IMC design method is superior to its conventional counterpart and PID in performance of stability and robustness and response speed.
仿真表明， 多模型自适应内模 控制较之单内模 控制和常规PID 控制，在稳定性、鲁棒性和响应速度等方面，均具有明显的优越性。
Simulation result of given plant showed that the proposed MMA-IMC design method is superior to its conventional counterpart and PID in performance of stability and robustness and response speed.
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