scholarly journals Design and Implementation of a Neural Control System and Performance Characterization with PID Controller for Water Level Control

2011 ◽  
Vol 2 (2) ◽  
pp. 79-88 ◽  
Author(s):  
Md. Selim Hasan ◽  
A.S.M. Shariar Kabir Khan ◽  
S.M Shibbir Alam ◽  
Mehedi Hasan Pavel
Keyword(s):  
Control System ◽  
Water Level ◽  
Pid Controller ◽  
Neural Control ◽  
Level Control ◽  
Performance Characterization ◽  
Design And Implementation ◽  
And Performance

Experimental Demonstration of Precision Control of a Deployable Optics Structure

2002 ◽  
Vol 124 (3) ◽  
pp. 441-450 ◽  
Author(s):  
R. Scott Erwin ◽  
Karl Schrader ◽  
Ruth L. Moser ◽  
Steven F. Griffin
Keyword(s):  
Control System ◽  
Structural Control ◽  
Level Control ◽  
Precision Control ◽  
Research Issues ◽  
Optical Surfaces ◽  
Point Tracking ◽  
High Bandwidth ◽  
And Performance ◽  
System 1

This paper presents the development, design, and implementation of a precision control system for a large, sparse-aperture space-deployable telescope testbed. Aspects of the testbed and laboratory environment relevant to nanometer-level control and performance objectives are provided. There are four main objectives of the control system: 1) reduction of natural resonances of the supporting structure, 2) rejection of tonal disturbances, 3) tip, tilt, and piston set-point tracking for optical surfaces, and 4) reduction in settling time of optical surfaces after an impulsive slew-type disturbance. The development of a three-input, three-output, high-bandwidth structural control system for the testbed is presented, and experimental data demonstrating that all objectives were attained is provided. The paper concludes with a discussion of the results and a description of research issues remaining to be addressed.

scholarly journals A hybrid PSO-PID approach for trajectory tracking application of a liquid level control process

2015 ◽  
Vol 5 (2) ◽  
pp. 63-73 ◽  
Author(s):  
Turker Tekin Erguzel
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Nuclear Power ◽  
Power Plants ◽  
Control Process ◽  
Nonlinear Process ◽  
Reference Trajectory ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Steam Generators

Water level control is a crucial step for steam generators (SG) which are widely used to control the temperature of nuclear power plants. The control process is therefore a challenging task to improve the performance of water level control system. The performance assessment is another consideration to underline. In this paper, in order to get better control of water level, the nonlinear process was first expressed in terms of a transfer function (TF), a proportional-integral-derivative (PID) controller was then attached to the model. The parameters of the PID controller was finally optimized using particle swarm optimization (PSO). Simulation results indicate that the proposed approach can make an effective tracking of a given level set or reference trajectory.

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