A Reference Guide to PID Controllers in the Nineties

Lellić, Muhidin; Gajić, Zoran

doi:10.1016/s1474-6670(17)38223-x

Cited by 25 publications

(14 citation statements)

References 288 publications

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“…A transfer function to validate the moisture control process is obtained with the real time data using Matlab system identification toolbox in equation (1). The tuned values through the traditional, as well as the proposed techniques, are analysed for their responses to a unit step input, with the help of Matlab simulation and, then, the real time application for the Moisture control in paper machine is presented.…”

Section: Resultsmentioning

confidence: 99%

Tuning of a PID Controller using Soft Computing Methodologies Applied to Moisture Control in Paper Machine

Balakrishnan¹,

Ponnusamy²

2012

Intelligent Automation & Soft Computing

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Proportional -Integral -Derivative control schemes continue to provide the simplest and effective solutions to most of the control engineering applications today. However PID controller is poorly tuned in practice with most of the tuning done manually which is difficult and time consuming. This research comes up with a soft computing approach involving Genetic Algorithm, Evolutionary Programming, Particle Swarm Optimization, Bacterial Foraging Optimization and heuristic algorithm bacterial foraging combine with particle swarm optimization. The proposed soft computing is used to tune the PID parameters and its performance has been compared with the conventional method Ziegler Nichols. The results obtained reflect that use of soft computing based controller improves the performance of process in terms of time domain specifications, set point tracking, and regulatory changes and also provides an optimum stability. This research addresses comparison of tuning of the PID controller using soft computing techniques on moisture control system in paper machine (Machine Direction).

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Section: Resultsmentioning

confidence: 99%

Tuning of a PID Controller using Soft Computing Methodologies Applied to Moisture Control in Paper Machine

Balakrishnan¹,

Ponnusamy²

2012

Intelligent Automation & Soft Computing

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“…Conventional PID controllers are commonly used in industry due to their simplicity, clear functionality, and ease of implementation [2]- [4]. Development of digital technology, progress in control theory, and identification has resulted in an increase in publications devoted to new theoretical results and technical solutions [5]. Recent research trends in the PID control area are well summarized in [6].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic driven adaptive PID controller for PWM based buck converter

Rabbani

Maruf

Ahmed

et al. 2012

2012 International Conference on Informatics, Electronics &Amp; Vision (ICIEV)

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This paper presents the design and construction of a fuzzy logic based proportional integral derivative (PID) controller for the control of a pulse width modulation (PWM)based dc-dc buck converter working in Continuous Conduction Mode(CCM). The converter operates at a switching frequency of 100 KHz. Computer simulation is done to fuzzify the inputs and their membership functions, express the inference rules linking the input and output variables and defuzzify the output parameter. This approach is simple as no linearized model of the buck converter is required. In the simulation results it is seen that the fuzzy logic based PID control technique provides robust control for non-linear power electronics variable switching structure like the ideal dc-dc buck converter. The practical model of the buck converter is next considered. From extensive experimentations for various parameter set and load disturbances, it is shown that the proposed adaptive Fuzzy logic driven PID controlled buck converter outperforms such non-adaptive PID controlled converters in terms of rise time, settling time and ripple voltage at the output response.

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“…In the authors' opinion, this is an important reason for the scarce success of autotuning MIMO regulators in comparison to single-loop ones [3], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Nonparametric decoupling of MIMO systems

Bascetta

Leva

2008

2008 IEEE International Conference on Computer-Aided Control Systems

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The Base Functions approach has been recently proposed in the literature, in conjunction with digital Finite Impulse Response (FIR) filters, as an effective method for set point tracking optimisation in Single-Input Single-Output (SISO) two-degree-of-freedom (2-d.o.f.) regulators. That method is here extended to treat the problem of decoupling Multi-Input MultiOutput (MIMO) system, paving the way to establish a unified approach to deal with set point tracking optimisation and decoupling as well. The newly conceived methodology stands out as a promising (auto)tuning solution for the decoupling part of MIMO regulators. A simulation example is reported to demonstrate the method effectiveness, and practical usefulness.

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A Reference Guide to PID Controllers in the Nineties

Cited by 25 publications

References 288 publications

Tuning of a PID Controller using Soft Computing Methodologies Applied to Moisture Control in Paper Machine

Tuning of a PID Controller using Soft Computing Methodologies Applied to Moisture Control in Paper Machine

Fuzzy logic driven adaptive PID controller for PWM based buck converter

Nonparametric decoupling of MIMO systems

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