IMC PID controller tuning for stable and unstable processes with time delay

Wang, Qing; Lu, Changhou; Pan, Wenxiao

doi:10.1016/j.cherd.2015.11.011

Cited by 83 publications

(54 citation statements)

References 14 publications

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“…But, conventional Smith predictor [3] technique fails to perform satisfactorily for integrating processes with large dead time due to their inherent nonself-regulating nature. Over the last few decades, a decent amount of research findings are reported [4][5][6][7][8][9][10][11][12][13][18][19][20][21][22][23][24][25] towards modification and augmentation of the conventional Smith predictor [3]. Primarily Majhi and Atherton [11] proposed modified Smith predictor for integrating and unstable processes based on gain margin and phase margin criterion.…”

Section: Introductionmentioning

confidence: 99%

“…A similar work is also reported by Shamsuzzoha and Skogested [9] and the extended version of the work is reported by Shamsuzzoha [8] using single controller for stable and integrating processes. More recently, set point weighted IMC based PID controller designed by Wang et al [22] has been widely accepted as modified Smith predictor for integrating processes with considerable time delay. Although modified Smith predictor for second-order process with non-minimum phase using two controllers is proposed by Uma and Rao [23] signifies enhanced responses for unstable processes.…”

Section: Introductionmentioning

confidence: 99%

“…Alternative approach towards modified Smith predictor with sliding mode control for processes with large time delay is provided by Mehta and Kaya [24], and the similar strategy for unstable processes is also proposed by Mehta and Rojas [25]. Among these reported schemes [8,9,11,19,[21][22][23][24][25] majority of the modified Smith predictor mechanism involves three controllers and their tuning policy is also not quite straight forward in nature. Moreover, they usually fail to restrict the initial process overshoot during set point tracking and regulatory behaviour during load changes is also not satisfactory.…”

Section: Introductionmentioning

confidence: 99%

“…For quantitative performance estimation integral error indices (IAE, ISE) and integral time error indices (ITAE, ITSE) [15] are computed during each simulation study. Smoothness of the proposed scheme is also compared with others' reported modified Smith predictor [8,9,11,19,21,22] by computing the value of total variation in control action (TV).…”

Section: Introductionmentioning

confidence: 99%

“…Performance comparison is reported in Sect. 6 consisting of the proposed scheme along with other well-known modified Smith predictor schemes [8,9,11,19,21,22] and at the end conclusion is provided in Sect. 7.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Improved disturbance rejection with modified Smith predictor for integrating FOPTD processes

Karan

Dey

2019

SN Appl. Sci.

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Improved disturbance rejection behaviour with modified Smith predictor is reported here for controlling integrating first-order plus time delay processes. Due to location of a pole at origin, process is said to be integrating in nature. In addition, due to presence of considerable dead time, it is very difficult to obtain the desired output from such processes using conventional control technique. In practice, a good number of chemical processes (e.g. distillation, evaporation, combustion, drying etc.) are integrating as well as delay dominating in nature. To ascertain desirable close-loop response for processes with large dead time, Smith predictor is a renowned methodology due to its simplicity and efficacy. But, this technique fails to perform satisfactorily for integrating processes with time delay. A good alternative can be considered as modified Smith predictor. This technique involves more than one controller for achieving desirable servo as well as regulatory responses. To avoid the tuning complexity of controllers, our proposed scheme involves comparatively less number of controllers with relatively simple tuning guide line. Distinct feature of the proposed tuning scheme is that process overshoot can be restricted within acceptable limit as well as improved load recovery can also be achieved. Efficacy of the proposed scheme is substantiated through performance assessment as well as stability study in comparison with well-known modified Smith predictor based tuning relations is also reported.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Improved disturbance rejection with modified Smith predictor for integrating FOPTD processes

Karan

Dey

2019

SN Appl. Sci.

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Low‐gain internal model control PID controller design based on second‐order filter

Peng³

et al. 2022

Can J Chem Eng

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A design method is proposed for low-gain internal model control (IMC) proportional-integral-derivative (PID) controllers based on the second-order filter. The PID parameters are obtained by approximating the feedback form of the IMC controller with a Maclaurin series, in which the second-order filter is applied using the IMC approach to achieve a low-gain PID controller that is suitable for model mismatch problems. Analytical PID tuning rules based on the second-order filter are derived for several common-use process models.The second-order filter is designed from the desired time domain performances of maximum overshoot and settling time. Furthermore, the robustness of the IMC PID controller based on the second-order filter is analyzed, and results show that its robustness performance is better than the first-order filter under certain conditions. Finally, three categories of models divided by the ration of time constant and time delay are presented in the comparative numerical simulations to validate the effectiveness and generality of the proposed PID controller design method.

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Robust design of fractional order IMC controller for fractional order processes with time delay

Gnaneshwar

Trivedi

Padhy

2022

Int J Numerical Modelling

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This article presents a novel approach to the robust design of fractional order IMC controller for the fractional‐order (FO) plus time delay processes. The proposed methodology provides the flexibility to adjust the controller performance based on the application requirement using a single parameter. Also, it does not require any external filter. Thus, it ensures a better response over existing methods. A mathematical analysis is provided to select the tuning parameter to obtain the optimal solution. The effectiveness of the proposed methodology is measured for different FO processes with time delay using time‐domain specifications, performance indices and frequency domain parameters. Load disturbance analysis under various disturbances and robust analysis under uncertainty in process gain in the presence of the disturbances is carried out to study the sensitivity and robustness of the controller. The performance parameters are estimated in both analyses and compared with the different approaches available in the literature.

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IMC PID controller tuning for stable and unstable processes with time delay

Cited by 83 publications

References 14 publications

Improved disturbance rejection with modified Smith predictor for integrating FOPTD processes

Improved disturbance rejection with modified Smith predictor for integrating FOPTD processes

Low‐gain internal model control PID controller design based on second‐order filter

Robust design of fractional order IMC controller for fractional order processes with time delay

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