A simple nonlinear PD controller for integrating processes

Dey, Chanchal; Mudi, Rajani K.; Simhachalam, Dharmana

doi:10.1016/j.isatra.2013.09.011

Cited by 24 publications

(12 citation statements)

References 41 publications

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“…Several tuning methods for IP have been developed so far [17,18]. They can be classified according to models of integrating systems, i.e., tuning methods for integrating systems with time-delay [7,[19][20][21][22][23][24][25][26][27][28], for first-order integrating systems with time-delay [18,, for higher-order integrating systems with time-delay [52], and nonparametric tuning methods for integrating systems [53][54][55][56].…”

Section: Introductionmentioning

confidence: 99%

“…The set-point response can be independently improved by using set-point weighting in the PID controllers. Dey, Mudi, and Simhachalam [54] developed an autotuning PD controller that adjusts proportional and derivative gains to achieve improved overall performance during set-point changes and load disturbances. Due to the lack of an integrator, the tuning rule is not suitable for rejecting process input disturbances.…”

Section: Introductionmentioning

confidence: 99%

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

2020

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Integrating systems are frequently encountered in the oil industry (oil–water–gas separators, distillation columns), power plants, paper-production plants, polymerisation processes, and in storage tanks. Due to the non-self-regulating character of the processes, any disturbance can cause a drift of the process output signal. Therefore, efficient closed-loop control of such processes is required. There are many PI and PID controller tuning methods for integrating processes. However, it is hard to find one requiring only a simple tuning procedure on the process, while the tuning method is based either on time-domain measurements or on a process transfer function of arbitrary order, which are the advantages of the magnitude optimum multiple integration (MOMI) tuning method. In this paper, we propose the extension of the MOMI tuning method to integrating processes. Besides the mentioned advantages, the extension provides efficient closed-loop control, while PI controller parameters calculation is still based on simple algebraic expressions, making it suitable for less-demanding hardware, like simpler programmable logic controllers (PLC). Additionally, the proposed method incorporates reference weighting factor b that allows users to emphasize either the disturbance-rejection or reference-following response. The proposed extension of the MOMI method (time-domain approach) was also tested on a charge-amplifier drift-compensation system, a laboratory hydraulic plant, on an industrial autoclave, and on a solid-oxide fuel-cell temperature control. All closed-loop responses were relatively stable and fast, all in accordance with the magnitude optimum criteria.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2020

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“…Dey et al [23] and Ajmeri [24] designed PID controller for integrating process. Hu et al [25] derived an analytical method for PID controller tuning with specified gain and phase margin.…”

Section: Introductionmentioning

confidence: 99%

Design Of Pid Controller With Compensator Using Direct Synthesis Method For Unstable System

Atchaya¹,

Pandey²

2016

IJECS

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In industrial processes, unstable system produces undesirable peak overshoot. So, PID controller with compensator and set point filter is designed using direct synthesis method. The set point filter reduces the peak overshoot. PID controller with compensator improves the overall response of the system. In this method, the characteristics equation of the system with PID controller and a compensator is compared with a desired characteristics equation. A single tuning parameter is used to find controller parameters, compensator and set point filter.

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“…Besides, nonlinear control schemes were presented to deal with integrating and unstable processes with time delay [25]. Dey et al [26] proposed an autotuning proportional-derivative control scheme; the proportional and derivative gains were adjusted using a nonlinear gain updating factor to achieve an overall improved performance.…”

Section: Introductionmentioning

confidence: 99%

Enhanced PID Controllers Design Based on Modified Smith Predictor Control for Unstable Process with Time Delay

Yin

Gao

Sun

2014

Mathematical Problems in Engineering

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A two-degree-of-freedom control structure is proposed for a class of unstable processes with time delay based on modified Smith predictor control; the superior performance of disturbance rejection and good robust stability are gained for the system. The set-point tracking controller is designed using the direct synthesis method; the IMC-PID controller for disturbance rejection is designed based on the internal mode control design principle. The controller for set-point response and the controller for disturbance rejection can be adjusted and optimized independently. Meanwhile, the two controllers are designed in the form of PID, which is convenient for engineering application. Finally, simulation examples demonstrate the validity of the proposed control scheme.

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A simple nonlinear PD controller for integrating processes

Cited by 24 publications

References 41 publications

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

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

Design Of Pid Controller With Compensator Using Direct Synthesis Method For Unstable System

Enhanced PID Controllers Design Based on Modified Smith Predictor Control for Unstable Process with Time Delay

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