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

1992 ◽  
Vol 4 (3) ◽  
pp. 237-248
Author(s):  
Yoshimasa Goto ◽  

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.

2012 ◽  
Vol 571 ◽  
pp. 518-523
Author(s):  
Li Dong Guo ◽  
Li Xin Yang

An adaptive control synthesis method is considered, which forces a surface ship at high speed to track a desired path. The nonlinear characteristics of the hydrodynamic damping can never be neglected in high speed maneuvering situation. Since the hydrodynamic coefficients of the surface ship at high speed are very difficult to be accurately estimated as a prior, the unknown part of the tracking dynamics system is approximated by neural network. The stability analysis will be given by Lyapunov theorem. Numerical simulations illustrate the excellent tracking performance of the surface ship at high speed under the proposed control scheme.


Author(s):  
Vinodhini M.

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.


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