Maximum sensitivity based fractional IMC–PID controller design for non-integer order system with time delay

Li, Dazi; Liü, Lang; Jin, Qibing; Hirasawa, Kotaro

doi:10.1016/j.jprocont.2015.04.001

Cited by 90 publications

(80 citation statements)

References 27 publications

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“…The neuron's input is the sum of weights on its inputs. The equation 10 (11) At last output is classified according to calculated nodes of hidden output, which is illustrated as equation (12) and (13), [38]. Here, the ALO algorithm is used as a trainer to parameters of ANN.…”

Section: Training Process Of Ann With Alo Step 1: Read In Input and Omentioning

confidence: 99%

“…A closed-loop system may be unstable due to small disturbances in the values of the designed control parameters [11]. Further, methods for changing the PID controller parameters have been increasing over the past few decades [12]. Some another kind of methods are theoretical calculations method, classical Z-N (Ziegler-Nichols) method, pole placement and its related Cohen-Coon method and IMC (internal model control) method.…”

Section: Introductionmentioning

confidence: 99%

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An Effective Technique for Tuning the Time Delay System with PID Controller-Ant Lion Optimizer Algorithm with ANN Technique

George

Ganesan

2020

IJEAT

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Nowadays, the PID controller is very common controller as well as very important controller in industrial utilizations. In the paper, proposed an ALO algorithm and ANN controller is utilized to enhance PID controller performance and control the tuning of TDS. TDS stands for Time delay system. ALO stands for Ant lion optimizer and ANN stands for Artificial neural network. In terms of parameters controlling, the time delay system is controlled and for different delay events low overshoot and fast time settling is reached. The novelty of the presented method is enhancing the PID controller performance by optimizing the PID gain parameters and controlling the highorder TDS. The performance of time delay system can be enhanced through decreasing error, tracking, time delay & error, rapid and exactly for their corresponding reference values. For parameter controlling of time delay system along optimal values, can be significantly enhanced the performance. To analyze the characteristics of the presented method, the various time delay systems are analyzed. The input and gain parameters were utilized to evaluate the objective function from tuning system. Based on proposed method, the optimal result is achieved and evaluated the increae time, settling time, overshoot as well as steady state error in TDS. The suggested controller is executed in MATLAB/Simulink work site and the presented technique performance examined through performance indexes and time domain specifications are evaluated using presented method compared to previous methods like ABC (Artificial Bee colony) algorithm, GSA (Gravitational Search Algorithm) ,FA (Firefly Algorithm).

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Section: Training Process Of Ann With Alo Step 1: Read In Input and Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective Technique for Tuning the Time Delay System with PID Controller-Ant Lion Optimizer Algorithm with ANN Technique

George

Ganesan

2020

IJEAT

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“…The fractional-order PI controller is adopted to stabilize the time-delay fractional-order system (22) as CðsÞ ¼ 0:02ð1 þ 0:36s À 0:98 Þ which is offered in [34] with the design method in [33]. Considering the effects of the identification precision and the environmental temperature, we suppose that the coefficient T ranges within ½10:72; 14:72, then the characteristic function of the closed loop system is FðsÞ ¼ Ts 1:48 þ s 0:98 þ 1:3232e À 1:93s ðs 0:98 þ 0:36Þ:…”

Section: Illustrative Examplesmentioning

confidence: 99%

Robust stability criterion for fractional-order systems with interval uncertain coefficients and a time-delay

Gao

2015

ISA Transactions

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“…In order to reduce the number of tuning parameters and mitigate the impact of time delay, the fractional order internal model control scheme is used. They can be used not only fractional time-delay system but also in higher order systems [1]. (2008) proposed the design of fractional order PI λDµ controllers, in which the orders of the integral and derivative parts, lambda(λ) and miu(µ), correspondingly, are fractional.…”

Section: Literature Surveymentioning

confidence: 99%

Untitled

2015

International Journal of Innovative Research in Electrical, Ele

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This paper deals with the controlling of the non-linear system using fractional order IMC-PID controller. The IMC-PID controller does good set-point tracking but poor disturbance response essentially for the process which has a minute time-delay/time-constant ratio. The study of different methods of IMC design and I M C based PID controller has been intended for a plant transfer function to include the advantages of PID controller in IMC. The intended of fractional order PI λ D µ controller in which the orders of the Integral (I) and Derivative (D) parts λ and µ are fractional. The purpose of introduction of these two parameters is to ensure the robust performance of the system. The IMC is used to handle non-integer system with time delay. IMC PID controller has been designed for a plant transfer function to incorporate the advantages of PID controller in IMC. In order to reduce the number of tuning parameters and effects of time delay, the fractional order internal model control scheme is used.

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Maximum sensitivity based fractional IMC–PID controller design for non-integer order system with time delay

Cited by 90 publications

References 27 publications

An Effective Technique for Tuning the Time Delay System with PID Controller-Ant Lion Optimizer Algorithm with ANN Technique

An Effective Technique for Tuning the Time Delay System with PID Controller-Ant Lion Optimizer Algorithm with ANN Technique

Robust stability criterion for fractional-order systems with interval uncertain coefficients and a time-delay

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