Application of Adaptive Control to High-Speed Aluminum Machining

1997 ◽  
Author(s):  
Larry Escobedo ◽  
Scott Wilson ◽  
Dave Force ◽  
Robin Smith ◽  
Mike Robertson ◽  
...  
Keyword(s):  
Adaptive Control ◽  
High Speed

Multimode Adaptive Control for Tank Gun Control System Based on Tracking Differentiator

2011 ◽  
Vol 383-390 ◽  
pp. 79-85
Author(s):  
Dong Yuan ◽  
Xiao Jun Ma ◽  
Wei Wei
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
High Speed ◽  
Control Method ◽  
Reference Model ◽  
Gun Control ◽  
Math Model ◽  
Tracking Differentiator ◽  
Switch Control ◽  
Model Reference Adaptive

Aiming at the problems such as switch impulsion, insurmountability for influence caused by nonlinearity in one tank gun control system which adopts double PID controller to realize the multimode switch control between high speed and low speed movement, the system math model is built up; And then, Model Reference Adaptive Control (MRAC) method based on nonroutine reference model is brought in and the adaptive gun controller is designed. Consequently, the compensation of nonlinearity and multimode control are implemented. Furthermore, the Tracking Differentiator (TD) is affiliated to the front of controller in order to restrain the impulsion caused by mode switch. Finally, the validity of control method in this paper is verified by simulation.

scholarly journals High-speed control and adaptive control of a robot arm.

1987 ◽  
Vol 53 (490) ◽  
pp. 1227-1231
Author(s):  
Yohji OKADA ◽  
Yasuhiro MATSUMOTO ◽  
Kenichi MATSUDA
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Speed Control ◽  
Robot Arm

Performance Analysis of Adaptive Control Technique for Aircraft Gas Turbine Engine

2017 ◽  
Vol 9 (4) ◽  
Author(s):  
S. Ganesan ◽  
R. Jaganraj ◽  
G.M. Priyadharshini
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Aircraft Engine ◽  
Control Technique ◽  
Atmospheric Conditions ◽  
Turbine Engine ◽  
Time Operation ◽  
Real Time Operation ◽  
Speed Mode ◽  
Discharge Pressure

This paper presents an adaptive control technique to compensate the thrust variation in an aircraft engine whose performance has been disturbed due to atmospheric conditions. The course of dysfunction appears when a large throttle transient is performed such that the engine switched from low to high speed mode. A relationship is observed between engine disturbance and the overshoot in engine shaft rpm or compressor discharge pressure or turbine temperature, which is determined to cause the thrust variation. This relationship is used to adapt a control. This method works very well up to the operability limit of an engine. Additionally, the type of disturbance identified from sensors data will be useful to implement the adaptive control in real time operation.

scholarly journals The Driving Pipeline: A Pipelined Architecture for Outdoor Mobile Robots

1992 ◽  
Vol 4 (3) ◽  
pp. 237-248
Author(s):  
Yoshimasa Goto ◽  
Keyword(s):  
Adaptive Control ◽  
Computer Architecture ◽  
High Speed ◽  
Control Parameters ◽  
Pipelined Architecture ◽  
Control Scheme ◽  
Robot Systems ◽  
Vehicle Motion ◽  
Execution Management ◽  
High Level

The Driving Pipeline is a driving control scheme for a mobile robot that drives the robot vehicle outdoors continuously and adaptively. Although the basic idea of the Driving Pipeline originates from a pipelined computer architecture, the Driving Pipeline adopts more complex execution management for adaptive vehicle motion. Like the pipelined computer architecture, the Driving Pipeline segments necessary computation for robot vehicle motion into several successive subprocesses and executes them on the pipelined processing modules that operate in parapel. Because of this pipelined architecture, the Driving Pipeline offers high computation performance, and then vehicle's high speed and continuous motion. Unlike the pipelined computer architecture, however, the Driving Pipeline adjusts execution cycles in order to adapt vehicle motion both to driving environment and computation resources in robot systems. For adaptive control, the Driving Pipeline introduces control parameters and defines required relations among them. Because of the explicit control scheme, the Driving Pipeline not only enables adaptive control but also analyzes the robot navigation. The Driving Pipeline illustrates mid level navigation between the driving control and the high level map navigation. Introducing this navigation layer offers more adaptability to the environment.

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