scholarly journals Computer Simulation and Optimal Control of Continuous Infrared Dryers

Author(s):  
Farshid Sanjabi

Computer Simulation and Optimal Control of Continuous Infrared Dryers

1979 ◽  
Vol 101 (2) ◽  
pp. 157-161 ◽  
Author(s):  
R. O. Hughes

Using the disciplines of Modern Control Theory, an optimal tracking control for a point focusing solar concentrator is derived. By converting the tracking problem into a regulator problem with a sun rate input a very low pointing error is achieved. A representative example with a corresponding computer simulation is presented.


2007 ◽  
Vol 329 ◽  
pp. 87-92
Author(s):  
Gui Jie Liu ◽  
Ning Mei ◽  
Ya Dong Gong ◽  
Wan Shan Wang

A self-adaptive forecast & optimal control method for grinding wheel in-feed is presented, it can control grinding wheel plunge by using the new program of grinding process, and can compensate availably the size errors produced by the elasticity deflection of the grinding system and the deference of work-pieces rough and the wear of the grinding wheel, et al. The result of computer simulation and real testing indicate that this method can improve grinding quality.


2021 ◽  
Author(s):  
Farshid Sanjabi

Computer Simulation and Optimal Control of Continuous Infrared Dryers


1975 ◽  
Vol 97 (4) ◽  
pp. 326-332
Author(s):  
M. Tomizuka

This paper deals with tracking problems in which the plant is single-input single-output and the desired trajectory (command signal) is regarded as the output of an unknown free dynamical system. Two procedures are presented for designing adaptive servosystems which enable the plant output to follow the command signal with zero ultimate tracking error. The first procedure uses a pole assignment method and the second utilizes a result of optimal control. An illustrative example is given, and the effectiveness of the adaptive servosystem is verified by computer simulation.


2011 ◽  
Vol 180 ◽  
pp. 27-38 ◽  
Author(s):  
Zbigniew Koruba

The paper presents an algorithm for controlling a searching and tracking head (STH) mounted on a mobile vehicle. A numerical analysis was conducted to establish the dynamics of the controlled STH due to the kinematic action of the vehicle moving over rough terrain. Some of the computer simulation results were represented graphically.


2020 ◽  
Vol 10 (23) ◽  
pp. 8363
Author(s):  
Eve Charbonneau ◽  
François Bailly ◽  
Loane Danès ◽  
Mickaël Begon

Aerial twisting techniques are preferred by trampoline coaches for their balanced landings. As these techniques are not intuitive, computer simulation has been a relevant tool to explore a variety of techniques. Up to now, twisting somersaults were mainly simulated using arm abduction/adduction only (2D). Our objective was to explore more complex (3D) but still anatomically feasible arm techniques to find innovative and robust twisting techniques. The twist rotation was maximized in a straight backward somersault performed by a model including arm abduction/adduction with and without changes in the plane of elevation. A multi-start approach was used to find a series of locally optimal performances. Six of them were retained and their robustness was assessed by adding noise to the first half of the arm kinematics and then reoptimizing the second half of the skill. We found that aerial twist performance linearly correlates with the complexity of arm trajectory. Optimal techniques share a common strategy consisting of moving the arm in a plane formed by the twisting and angular momentum axes, termed as the best tilting plane. Overall, 3D techniques are simpler and require less effort than 2D techniques for similar twist performances. Three techniques which generate ∼3 aerial twists could be used by athletes because kinematic perturbations do not compromise the performance and the landing.


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