scholarly journals Design of Centralized PI Control System for Two Variable Processes based on Root Locus Technique

2019 ◽  
Vol 9 (1) ◽  
pp. 4851-4855
Keyword(s):  
Control System ◽  
System Design ◽  
Decentralized Control ◽  
Pi Control ◽  
Control System Design ◽  
Centralized Control ◽  
Single Variable ◽  
Root Locus ◽  
Input And Output ◽  
Simulation Results

This paper describes the design of centralized controller for two variable processes. The two variable process structures are somehow different from the single variable processes. This difference is occurred because of interrelations between the variables present in the process. Hence, when a controller is planned for such systems, the relations amid the variables must be taken into consideration. This process is done in decentralized control system design. But decentralized control system works well when the interrelations between the variables are simple. If the interaction is strong, then the centralized control system is preferred since it uses a controller for each pair of input and output variables. The controller used in main diagonal works for improving the servo performance and off diagonal controller reduces the interrelation effect. So the performance is improved by minimizing the interrelation effects. The design process is easy to understand by field engineers working in industries. The simulation results are included in this paper to specify the efficacy of the proposed scheme.

Integrated Aircraft Modeling Research for Accurate Flight Control System Design

2013 ◽  
Vol 791-793 ◽  
pp. 658-662
Author(s):  
Chao Zhang ◽  
Yi Nan Liu ◽  
Jian Hui Xu
Keyword(s):  
Control System ◽  
System Design ◽  
Flight Control ◽  
Time Delays ◽  
Flight Dynamics ◽  
Control System Design ◽  
Control Law ◽  
Flight Control System ◽  
Aircraft Model ◽  
Simulation Results

In order to realize accurate flight control system design and simulation, an integrated scheme of aircraft model which consists of flight dynamics, fly-by-wire (FBW) platform and flight environment is proposed. Flight environment includes gravity, wind, and atmosphere. And the actuator and sensors such as gyroscope and accelerometer models are considered in the FBW platform. All parts of the integrated model are closely connected and interacted with each other. Simulation results confirm the effectiveness of the integrated aircraft model and also indicate that the (Flight Control Law) FCL must be designed with robustness to sensor noise and time delays with the FBW platform in addition to the required robustness to model uncertainty in flight dynamics.

Control system design of a small jet engine with a swiched PI control law

2019 ◽  
Vol 2019.56 (0) ◽  
pp. K021
Author(s):  
Kento NAITO ◽  
Kazuhiko HIRAMOTO ◽  
Takanori SUGIYAMA ◽  
Hiroyuki KOSHIKIZAWA
Keyword(s):  
Control System ◽  
System Design ◽  
Pi Control ◽  
Control System Design ◽  
Control Law ◽  
Jet Engine

Based on Analysis of Fast Simulation Algorithm for Multi-Objective BVR Attacking Fire Control System

2014 ◽  
Vol 898 ◽  
pp. 900-903
Author(s):  
Yi Guo Ji ◽  
Zhong Xiang Tao ◽  
Cui Chen ◽  
Zhi Huan Lan ◽  
Chun Yan Tian
Keyword(s):  
Control System ◽  
System Design ◽  
Continuous Improvement ◽  
Control System Design ◽  
Simulation Algorithm ◽  
Fast Simulation ◽  
Fire Control ◽  
Multi Objective ◽  
Combat Aircraft ◽  
Simulation Results

With the continuous improvement of fire control system functions to further improve the performance of missile weapons, combat aircraft requires BVR combat capability, multi-objective BVRAC will be the next major form of combat and trends. This article will fast simulation algorithm is applied to multi-target attack fire control system design, we propose a multi-target attack BVR fire control system design. Simulation results show that: the design of high precision, calculation speed, fully meet the requirements of real-time speed and airborne weapons systems.

A Geometric Representation of Root Sensitivity

1994 ◽  
Vol 116 (2) ◽  
pp. 305-309 ◽  
Author(s):  
T. R. Kurfess ◽  
M. L. Nagurka
Keyword(s):  
Control System ◽  
System Design ◽  
Dynamic Systems ◽  
Linear Time ◽  
Sensitivity Function ◽  
Control System Design ◽  
Geometric Representation ◽  
Root Locus ◽  
Linear Time Invariant ◽  
Time Invariant

In this paper, we present a geometric method for representing the classical root sensitivity function of linear time-invariant dynamic systems. The method employs specialized eigenvalue plots that expand the information presented in the root locus plot in a manner that permits determination by inspection of both the real and imaginary components of the root sensitivity function. We observe relationships between root sensitivity and eigenvalue geometry that do not appear to be reported in the literature and hold important implications for control system design and analysis.

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