IMC based Fractional Order Controller Design for Specific Non-Minimum Phase Systems

Arya, Pushkar Prakash; Chakrabarty, Sohom

doi:10.1016/j.ifacol.2018.06.123

Cited by 32 publications

(20 citation statements)

References 15 publications

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“…In [44], FO‐IMC is designed for desired

ϕ_{m}

and

ω_{g}

for FOPTD as well as second‐order plus time delay (SOPTD) processes. In [45], FO‐IMC is designed for some specific non‐minimum phase (NMP) plants for desired

ϕ_{m}

and

ω_{g}

.…”

Section: Introductionmentioning

confidence: 99%

Robust internal model controller with increased closed‐loop bandwidth for process control systems

Arya

Chakrabarty

2020

IET Control Theory & Appl

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“…In [44], FO‐IMC is designed for desired

ϕ_{m}

and

ω_{g}

for FOPTD as well as second‐order plus time delay (SOPTD) processes. In [45], FO‐IMC is designed for some specific non‐minimum phase (NMP) plants for desired

ϕ_{m}

and

ω_{g}

.…”

Section: Introductionmentioning

confidence: 99%

Robust internal model controller with increased closed‐loop bandwidth for process control systems

Arya

Chakrabarty

2020

IET Control Theory & Appl

Self Cite

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“…Fractional controller for the level control problem is discussed in [27]. Time domain specifications of the proposed FOIMC are compared with a fractional order proportional integral (FOPI) controller and FOIMC [28][29]. [30] discussed the design of higher order fractional filter based FOIMC.…”

Section: Introductionmentioning

confidence: 99%

Design of the fractional order internal model controller using the swarm intelligence techniques for the coupled tank system

Vavilala¹,

Thirumavalavan²,

Radhakrishnan³

et al. 2021

Turk J Elec Eng & Comp Sci

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The coupled tank system (comprising two tanks) is used in the chemical industries, water treatment plants etc. Level control of the coupled tank system is a common problem in the process control industry. This work proposes a fractional order internal model controller (FOIMC) with a higher order fractional filter for the level control of the coupled tank system. A first order plus delay time (FOPDT) model of the system is used in the controller design. FOIMC has advantages like robustness to changes in the system gain and extended stability margins. The proposed higher order fractional filter makes the controller physically realisable, and quickly roll off the magnitude Bode plot, neglecting the high frequency noise. The PSO algorithm is a swarm intelligence based algorithm used for the optimisation problems. The parameters of the FOIMC are optimised with the particle swarm optimisation (PSO) algorithm, by minimising an objective function constructed using time domain specifications. The novel objective function includes weighted peak overshoot, settling time, and integral square error. A MATLAB based tool, fractional order modelling and control (FOMCON) is used to simulate the fractional order controller. Performance of the proposed FOIMC is compared with two state of the art. Robustness to change in the operating point (tank height) is verified. The proposed FOIMC and the state of the art controllers are implemented on the laboratory setup, and the experimental results are compared.

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“…A fractional order filter is also used in [18] , where a FO-IMC controller is designed for a non-minimum phase system to satisfy desired phase at a desired gain-crossover frequency. Several simulation studies are performed and comparisons with other well-known techniques for tuning IMC based controllers are included.…”

Section: Introductionmentioning

confidence: 99%

An alternative design approach for Fractional Order Internal Model Controllers for time delay systems

Muresan

Birs

Keyser

2021

Journal of Advanced Research

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IMC based Fractional Order Controller Design for Specific Non-Minimum Phase Systems

Cited by 32 publications

References 15 publications

Robust internal model controller with increased closed‐loop bandwidth for process control systems

Robust internal model controller with increased closed‐loop bandwidth for process control systems

Design of the fractional order internal model controller using the swarm intelligence techniques for the coupled tank system

An alternative design approach for Fractional Order Internal Model Controllers for time delay systems

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