On the reduced-order model for control-system design and analysis

1986 ◽  
Vol 17 (2) ◽  
pp. 319-324
Author(s):  
S. J. FU ◽  
M. E. SAWAN
Keyword(s):  
Control System ◽  
System Design ◽  
Reduced Order Model ◽  
Control System Design ◽  
Order Model ◽  
Reduced Order

scholarly journals Reduced Order Model of Position Control System

2011 ◽  
pp. 113-115
Author(s):  
Yogesh V. Hote ◽  
A. N. Jha ◽  
J. R. P. Gupta
Keyword(s):  
Control System ◽  
Position Control ◽  
Open Loop ◽  
Simple Approach ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Reduced Order Modelling ◽  
Position Control System

In this paper, simple approach is proposed to determine reduced order model of a unstable open-loop position control system. This approach is based on Krishnamurthy’s approach on Routh criterion on reduced order modelling. The results are simulated in Matlab environment.

Simple Fractional Order Model Structures and their Applications in Control System Design

2010 ◽  
Vol 16 (6) ◽  
pp. 680-694 ◽  
Author(s):  
Mahsan Tavakoli-Kakhki ◽  
Mohammad Haeri ◽  
Mohammad Saleh Tavazoei
Keyword(s):  
Control System ◽  
System Design ◽  
Fractional Order ◽  
Control System Design ◽  
Order Model ◽  
Fractional Order Model ◽  
Model Structures

Reduced optimal controller design for the nuclear reactor power control system

2011 ◽  
pp. 84-86
Author(s):  
H. Zarabadipour ◽  
H. Emadi
Keyword(s):  
Control System ◽  
Power Control ◽  
Nuclear Reactor ◽  
Reactor Power ◽  
Reduced Order Model ◽  
Optimal Controller ◽  
Balance Model ◽  
Order Model ◽  
Reduced Order ◽  
Power Control System

The power control system of a nuclear reactor is one of the key systems that concern the safe operation of the plant. Much attention is paid to the power control systems’ performance of nuclear reactor in engineering. The goal of this paper is apply balance model reductionto derive reduced order model and then design the reduced optimal controller for nuclear reactor power system.The simulation results with reduced-order model and with optimized controller show that the proposed technique is improved .

A New Modeling Technique and Control System Design of a Flexible Rotor Supported by Active Magnetic Bearings for Motion and Vibration Control

2003 ◽  
Author(s):  
Mitsuhiro Ichihara ◽  
Hideo Shida ◽  
Takahito Sagane ◽  
Hiroshi Tajima ◽  
Muneharu Saigou ◽  
...  
Keyword(s):  
Control System ◽  
Vibration Control ◽  
System Design ◽  
Physical Model ◽  
Magnetic Bearings ◽  
Control System Design ◽  
Active Magnetic Bearings ◽  
Flexible Rotor ◽  
Reduced Order ◽  
And Control

This paper proposed a new modeling technique and control system design of a flexible rotor using active magnetic bearings (AMB) for motion and vibration control. The purpose of the research was to pass through a critical speed and achieve high-speed rotation. To achieve this, it is necessary to control both vibration and motion. Even though reduced order physical model [1] that we used before is available technique in expressing vibration, this technique cannot express motion. Thus we propose an extended reduced order physical model [2] that can simultaneously express motion and vibration. Further, by using the model we apply the design of a new controller that combined proportional integral derivative (PID) with linear quadratic (LQ) control to a flexible rotor. The procedure we propose is verified by simulations as being effective for a flexible rotor.

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