A Constant Cutting Power Adaptive Control for Rough and Fine Turning

1984 ◽  
pp. 187-193
Author(s):  
F. Giusti ◽  
M. Santochi ◽  
G. Tantussi
Keyword(s):  
Adaptive Control ◽  
Cutting Power ◽  
Power Adaptive ◽  
Fine Turning

POWER ADAPTIVE CONTROL OF DENSE CONFIGURED SUPER-SELF-ALIGNED BACK-GATE PLANAR TRANSISTORS

2007 ◽  
Vol 17 (01) ◽  
pp. 143-146
Author(s):  
HAO LIN ◽  
HAITAO LIU ◽  
ARVIND KUMAR ◽  
UYGAR AVCI ◽  
JAY S. VAN DELDEN ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Power Consumption ◽  
Switching Speed ◽  
Back Gate ◽  
Lower Power ◽  
Transfer Characteristics ◽  
Power Adaptive

The works examines the power adaptive control of back-gated planar transistor employing a novel super-self-alignment design. The availability of such back-gate provides additional freedom for the improvement of the transistor performance of higher switching speed and lower power consumption. Both of these two capabilities are investigated through the studies of transistor's output and transfer characteristics.

POWER ADAPTIVE CONTROL ON DENSE CONFIGURED SUPER-SELF-ALIGNED BACK-GATE PLANAR TRANSISTORS

2007 ◽  
Author(s):  
HAO LIN ◽  
HAITAO LIU ◽  
ARVIND KUMAR ◽  
UYGAR AVCI ◽  
JAY S. VAN DELDEN ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Back Gate ◽  
Power Adaptive

Research on Power Adaptive Control Method for Hydraulic Motor Grader Based on Simulink/AMESim

2011 ◽  
Vol 135-136 ◽  
pp. 793-799 ◽  
Author(s):  
Rui Ying Zhao ◽  
Xin Wang
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Method ◽  
Simulation Models ◽  
Transmission System ◽  
Hydraulic Motor ◽  
Dynamic Regulation ◽  
Power Adaptive ◽  
Simulation Results

A method of power adaptive control for hydraulic motor graders is provided, including the dynamic regulation methods of pump and motor and realization algorithms related. The simulation models of hydraulic transmission system and the control system are established in AMESim and Simulink respectively. By using these two softwares, the models are co-simulated. The co-simulation results verify the feasibility and effectiveness of the control system.

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