Design of Digital PID Control Systems Based on Sensitivity Analysis and Genetic Algorithms

Digital PID controllers design method in a parameter space is proposed in this article. Sensitivity analysis is processed to meet specifications in gain margin and phase margin. The stability boundary is plotted based on the proposed method in this article. The genetic algorithm is used for integral...

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Published in:International journal of control, automation, and systems 2019, Automation, and Systems, 17(7), , pp.1838-1846
Main Authors: Perng, Jau-Woei, Hsieh, Shan-Chang
Format: Article
Language:English
Subjects:
Adaptive control
Communications networks
Computer simulation
Control
Control systems design
Control theory
Design parameters
Dwell time
Engineering
Errors
Faults
Genetic algorithms
Mechatronics
Neural networks
Nonlinearity
Parameter sensitivity
Parameter uncertainty
Proportional integral derivative
Regular Papers
Robotics
Sensitivity analysis
Sliding mode control
Switching
System effectiveness
Time lag
Upper bounds
제어계측공학
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cited_by cdi_FETCH-LOGICAL-c378t-82e96e370ea7b04bae43d92e1315435ed6d6b9c828cb75ba22a2d40c1b069fe13
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container_issue 7
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creator Perng, Jau-Woei
Hsieh, Shan-Chang
description Digital PID controllers design method in a parameter space is proposed in this article. Sensitivity analysis is processed to meet specifications in gain margin and phase margin. The stability boundary is plotted based on the proposed method in this article. The genetic algorithm is used for integral absolute error, integral time-weighted absolute error, integral square error, and integral time-weighted square error. A design procedure is proposed in this article. The design procedure is applied for a model of a boiler and a model with time delay. Computer simulation results show that the proposed method is effective.
doi_str_mv 10.1007/s12555-018-0570-3
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ispartof International Journal of Control, 2019, Automation, and Systems, 17(7), , pp.1838-1846
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2005-4092
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source Springer Nature
subjects Adaptive control
Communications networks
Computer simulation
Control
Control systems design
Control theory
Design parameters
Dwell time
Engineering
Errors
Faults
Genetic algorithms
Mechatronics
Neural networks
Nonlinearity
Parameter sensitivity
Parameter uncertainty
Proportional integral derivative
Regular Papers
Robotics
Sensitivity analysis
Sliding mode control
Switching
System effectiveness
Time lag
Upper bounds
제어계측공학
title Design of Digital PID Control Systems Based on Sensitivity Analysis and Genetic Algorithms
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