Parallel cascade control of dead time processes via fractional order controllers based on Smith predictor

Pashaei, Shabnam; Bagheri, Peyman

doi:10.1016/j.isatra.2019.08.047

Cited by 51 publications

(25 citation statements)

References 26 publications

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“…Note that most tunings methods for IFOTD can also be applied to other types of IPs if the process can be modelled by the IFOTD model [8,68,69,74,75,[77][78][79][80]84,87,88,[91][92][93][94][95][96]98,100,106,107].…”

Section: Introductionmentioning

confidence: 99%

Parametric and Nonparametric PID Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

2020

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Integrating systems are frequently encountered in power plants, paper-production plants, storage tanks, distillation columns, chemical reactors, and the oil industry. Due to the open-loop instability that leads to an unbounded output from a bounded input, the efficient control of integrating systems remains a challenging task. Many researchers have addressed the control of integrating processes: Some solutions are based on a single closed-loop controller, while others employ more complex control structures. However, it is difficult to find one solution requiring only a simple tuning procedure for the process. This is the advantage of the magnitude optimum multiple integration (MOMI) tuning method. In this paper, we propose an extension of the MOMI tuning method for integrating processes, controlled with a two-degrees-of-freedom (2-DOF) proportional–integral–derivative (PID) controller. This extension allows for calculations of the controller parameters from either time domain measurements or from a process transfer function of an arbitrary order with a time-delay, when both approaches are exactly equivalent. The user has the option to emphasise disturbance-rejection or tracking with the reference weighting factor b or apply two different reference filters for the best overall response. The proposed extension was also compared to other tuning methods for the control of integrating processes and tested on a charge-amplifier drift-compensation system. All closed-loop responses were relatively fast and stable, all in accordance with the magnitude optimum criteria.

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Section: Introductionmentioning

confidence: 99%

Parametric and Nonparametric PID Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

2020

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“…DS method was used to develop the setpoint filter as well as the primary and secondary disturbance rejection controllers (of PID in series with lead-lag filter type) by Padhan and Majhi (2012). Recently, fractional calculus has found widespread application in the field of process control (Efe 2011;Pashaei and Bagheri 2020). Till date, Pashaei and Bagheri (2020) is the only work to have the combined advantages of Smith predictor, parallel cascade control and fractional calculus to achieve satisfactory closed-loop performance.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, fractional calculus has found widespread application in the field of process control (Efe 2011;Pashaei and Bagheri 2020). Till date, Pashaei and Bagheri (2020) is the only work to have the combined advantages of Smith predictor, parallel cascade control and fractional calculus to achieve satisfactory closed-loop performance. Therefore, the strategy presented by Pashaei and Bagheri (2020) is extended for series cascade control in this work.…”

Section: Introductionmentioning

confidence: 99%

“…Till date, Pashaei and Bagheri (2020) is the only work to have the combined advantages of Smith predictor, parallel cascade control and fractional calculus to achieve satisfactory closed-loop performance. Therefore, the strategy presented by Pashaei and Bagheri (2020) is extended for series cascade control in this work. Accordingly, the suggested SCCS has three controllers.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Fractional Order IMC-Based Series Cascade Control Strategy with Dead-Time Compensator for Unstable Processes

Mukherjee

Raja

Kundu

2020

J Control Autom Electr Syst

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In industrial unstable processes, disturbance rejection is more challenging task than setpoint tracking. So, cascade control structure is widely used in many chemical processes to reject disturbances. In this work, an advanced dead-time compensatorbased series cascade control structure (SCCS) is suggested for unstable processes. The suggested SCCS has three controllers (named as primary, secondary and stabilizing controllers). Both primary and secondary controllers are designed using fractional order-based internal model control (IMC) approach. The stabilizing proportional-derivative controller is designed using maximum sensitivity considerations and Routh-Hurwitz stability criteria. Optimal values of the closed-loop time constants and fractional orders of IMC filters are obtained using constrained artificial bee colony (ABC) algorithm. This ABC algorithm uses a multi-objective function involving minimization of integral of absolute error, integral of time weighted absolute error and integral of squared error. Simulation studies are conducted using some benchmark plant models used in literature for illustrating the advantages of the proposed strategy compared to the state of the art. Moreover, robust stability of the proposed design is analysed and quantitative performance measures are also computed. Keywords Fractional calculus • IMC • ABC algorithm • Series cascade control • Dead-time compensator • Unstable processes B Deep Mukherjee

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“…Proportional-Integral (PI) controller is often used in the primary loop and the proportional (P) control is used as a secondary controller in the secondary loop of cascade controller design. Enhanced SCCS design is used [11][12][13][14][15][16][17][18] for unstable and integrating process with three controllers and one filter for obtaining the closed-loop performances. In the design of controllers to the unstable process, it is common to use a set point filter [].…”

Section: Introductionmentioning

confidence: 99%

Modified Cascade Controller Design for Unstable Processes With Large Dead Time

Chandran

Murugesan

Gurusamy³

et al. 2020

IEEE Access

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In this paper, a simple controller design with the fractional order calculations applies to unstable cascade processes with a significant time delay. Series cascade control system consists of two loops in which the inner loop is designed using the IMC principle based on the synthesis method. The primary controller is designed with the FOPI-FOPD controller to ensure stable and satisfactory closed-loop performances for the unstable processes. For the primary controller, five tuning parameters are involved, which tuned using the centroid of the convex stability region method. Different examples are given to illustrate the superiority of the proposed design over some existing designs. Results obtained from simulation reveals that with the proposed control design, enhanced closed-loop control performances are obtained for nominal and perturbed conditions.

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Parallel cascade control of dead time processes via fractional order controllers based on Smith predictor

Cited by 51 publications

References 26 publications

Parametric and Nonparametric PID Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

Parametric and Nonparametric PID Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

Optimal Fractional Order IMC-Based Series Cascade Control Strategy with Dead-Time Compensator for Unstable Processes

Modified Cascade Controller Design for Unstable Processes With Large Dead Time

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