A feed forward control method for adjusting the total sludge volume in activated sludge process

1981 ◽  
Author(s):  
Shoichi Masui ◽  
Makoto Shioya ◽  
Tohru Ohto
Keyword(s):  
Activated Sludge ◽  
Control Method ◽  
Activated Sludge Process ◽  
Feed Forward ◽  
Feed Forward Control

Feed forward control of an activated sludge process

1973 ◽  
Vol 7 (4) ◽  
pp. 525-535 ◽  
Author(s):  
R.W.J. Brett ◽  
R.I. Kermode ◽  
B.G. Burrus
Keyword(s):  
Activated Sludge ◽  
Activated Sludge Process ◽  
Feed Forward ◽  
Feed Forward Control

Generic Feed Forward Control of Activated Sludge

1973 ◽  
Vol 99 (3) ◽  
pp. 301-314
Author(s):  
John J. Davis ◽  
Richard I. Kermode ◽  
Robert W. J. Brett
Keyword(s):  
Activated Sludge ◽  
Feed Forward ◽  
Feed Forward Control

Closure to “Generic Feed Forward Control of Activated Sludge”

1975 ◽  
Vol 101 (1) ◽  
pp. 161-161
Author(s):  
John J. Davis ◽  
R. I. Kermode ◽  
Robert W. J. Brett
Keyword(s):  
Activated Sludge ◽  
Feed Forward ◽  
Feed Forward Control

scholarly journals Feed-forward control of elastic-joint industrial robot based on hybrid inverse dynamic model

2021 ◽  
Vol 13 (9) ◽  
pp. 168781402110381
Author(s):  
Mei Zaiwu ◽  
Chen Liping ◽  
Ding Jianwan
Keyword(s):  
Dynamic Model ◽  
Analytical Model ◽  
Control Method ◽  
Data Driven ◽  
Parameter Uncertainties ◽  
Inverse Dynamic ◽  
Inverse Dynamic Model ◽  
Feed Forward ◽  
Elastic Joint ◽  
Feed Forward Control

A novel feedforward control method of elastic-joint robot based on hybrid inverse dynamic model is proposed in this paper. The hybrid inverse dynamic model consists of analytical model and data-driven model. Firstly, the inverse dynamic analytical model of elastic-joint robot is established based on Lie group and Lie algebra, which improves the efficiency of modeling and calculation. Then, by coupling the data-driven model with the analytical model, a feed-forward control method based on hybrid inverse dynamics model is proposed. This method can overcome the influence of the inaccuracy of the analytical inverse dynamic model on the control performance, and effectively improve the control accuracy of the robot. The data-driven model is used to compensate for the parameter uncertainties and non-parameter uncertainties of the analytical dynamic model. Finally, the proposed control method is proved to be stable and the multi-domain integrated system model of industrial robot is developed to verify the performance of the control scheme by simulation. The simulation results show that the proposed control method has higher control accuracy than the traditional torque feed-forward control method.

Research on Flatness Feed-Forward Control for Cold Rolled Strip

2012 ◽  
Vol 572 ◽  
pp. 165-170
Author(s):  
Ru Ying He ◽  
Ting Quan Gu ◽  
Yun Feng Liu
Keyword(s):  
Control Method ◽  
Rolling Force ◽  
Rolling Process ◽  
Thin Strip ◽  
Rolled Strip ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Strip Flatness ◽  
Cold Rolled ◽  
The Stability

A feed-forward control method for cold rolled strip flatness is put forward. That is to carry out feed-forward compensation to bending force of the stand, so as to mitigate the complex influence caused by changes of rolling force and tension in rolling process on strip flatness based on regular flatness feedback control which focus on the last stand, according to changes in stand rolling force, inlet tension and outlet tension measured. Result shows that this technique not only increased the flatness quality of the strip cold-rolled, but also increased the stability of cold-rolling process of thin strip when it was actually applied in a cold tandem mill.

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