Fractional Filter IMC-TDD Controller Design for Integrating Processes

2021 ◽  
Author(s):  
Anjana Ranjan ◽  
Utkal Mehta
Keyword(s):  
Controller Design ◽  
Fractional Filter

Improved fractional filter IMC–PID controller design for enhanced performance of integrating plus time delay processes

2019 ◽  
Vol 62 (2) ◽  
pp. 184-201 ◽  
Author(s):  
R. Ranganayakulu ◽  
A. Seshagiri Rao ◽  
G. Uday Bhaskar Babu
Keyword(s):  
Time Delay ◽  
Pid Controller ◽  
Controller Design ◽  
Pid Controller Design ◽  
Fractional Filter

Proportional integral-fractional filter controller design for first order lag plus time delay system

2018 ◽  
Vol 50 (5) ◽  
pp. 885-904 ◽  
Author(s):  
Kaddour Gherfi ◽  
Abdelfatah Charef ◽  
Hadj Ahmed Abbassi
Keyword(s):  
Time Delay ◽  
Controller Design ◽  
Delay System ◽  
Time Delay System ◽  
Proportional Integral ◽  
First Order ◽  
Fractional Filter

Proportional integral-fractional filter controller design for first order lag plus time delay system

2018 ◽  
Vol 49 (8) ◽  
pp. 1654-1673 ◽  
Author(s):  
Kaddour Gherfi ◽  
Abdelfatah Charef ◽  
Hadj Ahmed Abbassi
Keyword(s):  
Time Delay ◽  
Controller Design ◽  
Delay System ◽  
Time Delay System ◽  
Proportional Integral ◽  
First Order ◽  
Fractional Filter

scholarly journals Avr System Analysis and Simulation by Using Fopid and Parameters Variation Effects

2021 ◽  
Vol 309 ◽  
pp. 01033
Author(s):  
Choppadandi Srikanth ◽  
Dola Gobinda Padhan ◽  
N. Kiran Kumar
Keyword(s):  
System Analysis ◽  
Reactive Power ◽  
Controller Design ◽  
Space Technology ◽  
Parameter Uncertainties ◽  
Voltage Level ◽  
Response Characteristics ◽  
Control Units ◽  
Avr System ◽  
Fractional Filter

The FOPID control units for an AVR system with a fractional filter are a unique fractional order. The main responsibility for controlling the reactive power and voltage level is an automated tensile regulator (AVR). PID controller, sensor, exciter, and stabiliser or amplifier are used for the module system. The system is designed according to state-space technology. The proposed controller must have seven independent parameters. A comparison of the published study with optimal adjusted AVR PID and FOPID controls also shows that the proposed controller is superior. The recommended controls derived from the bode analysis with their frequency response characteristics are shown. Finally, the resilience of the controller design is individually examined for both the parameter uncertainties of AVR system and outside storages introduced into AVR system. Given the overall results presented there are clear improvements to the performance of AVR system by a fractional filter in a proposed FOPID controller, and that the AVR system may successfully be applied to the suggested control.

scholarly journals Fractional filter IMC-PID controller design for second order plus time delay processes

2017 ◽  
Vol 4 (1) ◽  
pp. 1366888 ◽  
Author(s):  
R. Ranganayakulu ◽  
G. Uday Bhaskar Babu ◽  
A. Seshagiri Rao ◽  
Hak Keung Lam
Keyword(s):  
Time Delay ◽  
Pid Controller ◽  
Controller Design ◽  
Second Order ◽  
Pid Controller Design ◽  
Fractional Filter

Continuous Time Controller Design

IEE Review ◽  
1991 ◽  
Vol 37 (6) ◽  
pp. 228
Author(s):  
Stephen Barnett
Keyword(s):  
Continuous Time ◽  
Controller Design

Path Tracking Controller Design of Automatic Guided Vehicle Based on Four-Wheeled Omnidirectional Motion Model

2020 ◽  
Vol 17 (2) ◽  
pp. 7996-8010
Author(s):  
X. Wu ◽  
Y. Yang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Threshold Value ◽  
Position Angle ◽  
Path Tracking ◽  
Global Coordinate System ◽  
Automatic Guided Vehicle ◽  
Input Variables ◽  
Industrial Pc

This paper presents a new design of omnidirectional automatic guided vehicle based on a hub motor, and proposes a joint controller for path tracking. The proposed controller includes two parts: a fuzzy controller and a multi-step predictive optimal controller. Firstly, based on various steering conditions, the kinematics model of the whole vehicle and the pose (position, angle) model in the global coordinate system are introduced. Secondly, based on the modeling, the joint controller is designed. Lateral deviation and course deviation are used as the input variables of the control system, and the threshold value is switched according to the value of the input variable to realise the correction of the large range of posture deviation. Finally, the joint controller is implemented by using the industrial PC and the self-developed control system based on the Freescale minimum system. Path tracking experiments were made under the straight and circular paths to test the ability of the joint controller for reducing the pose deviation. The experimental results show that the designed guided vehicle has excellent ability to path tracking, which meets the design goals.

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