本文在分析了大量常见耦合现象的基础上，设计了一种基于FPGA的模糊前馈解耦控制器。
Based on the analyses of a lot of coupling phenomenons, a kind of fuzzy feed-forward decoupling controller based on FPGA is designed in this paper.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
针对多模型控制方法中模型数目巨大，计算时间长等问题，提出了分层递阶结构多模型自适应前馈解耦控制器。
To solve such problem as too many models and long computing time, a hierarchical multiple model adaptive decoupling controller is designed.
在建立电流源型PWM变流器稳态数学模型的基础上，分析了系统的耦合关系，提出了一种基于小偏量线性化的前馈解耦控制方案。
On the basis of the stationary state mathematical model of a PWM current-source converter, the paper analyzes the coupling of a converter and presents a simple decoupling feedforward control method.
此外，为了消除电网电压畸变或扰动对逆变器输出电流的影响，系统中引入了电网电压前馈解耦控制，改善了系统输出电流的质量。
Besides, in order to eliminate the effect of grid voltage distortion or disturbance on output current, decoupling control is employed to further improve the quality of output current.
在基于负载电流前馈解耦的正弦波逆变器多环控制策略中，负载电流前馈作用的延迟直接影响着系统的性能。
In the multiple-loop control strategy for sinusoidal inverters based on load current feedforward, delay of the feedforward directly impacts the system's performance.
本文介绍了交变湿热室试验控制的新方法，采用了简化的模糊控制，提出了模糊前馈解耦法。
This paper presents a novel test and control scheme for environmental chamber. The simplified fuzzy controllers and fuzzy feedforward decouple method are introduced.
内环电流控制器采用电流反馈和电压前馈的解耦控制策略，实现电流的快速跟踪控制；
Decoupled control structure consisting of current feedback and voltage feed-forward is adopted in the inner current control loop which can track the reference current quickly.
同时，内环采用电流前馈解耦方式，分别独立控制有功功率、无功功率。
The inner loop adopts the current feed-forward decoupled mode to control the active power and reactive power independently.
同时，内环采用电流前馈解耦方式，分别独立控制有功功率、无功功率。
The inner loop adopts the current feed-forward decoupled mode to control the active power and reactive power independently.
应用推荐