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Relevant bibliographies by topics / PI Tuning

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Academic literature on the topic 'PI Tuning'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "PI Tuning"

1

Arauz, Teresa, José M. Maestre, Xin Tian, and Guanghua Guan. "Design of PI Controllers for Irrigation Canals Based on Linear Matrix Inequalities." Water 12, no. 3 (2020): 855. http://dx.doi.org/10.3390/w12030855.

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A new Proportional-Integral (PI) tuning method based on Linear Matrix Inequalities (LMIs) is presented. In particular, an LMI-based optimal control problem is solved to obtain a sparse feedback that provides the PI tuning. The ASCE Test Canal 1 is used as a case study. Using a linearised model of the canal, different tunings for the design of the PI controller are developed and tested using the software Sobek. Furthermore, the proposed method is also compared with other tunings proposed for the same canal available in the literature. Our results show that the proposed method reduces by half th

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Boiko, Igor. "SELF-TUNING PI CONTROLLER." IFAC Proceedings Volumes 39, no. 7 (2006): 29–34. http://dx.doi.org/10.3182/20060625-4-ca-2906.00011.

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Vítečková, Miluše, and Antonín Víteček. "PI and PID Controllers Tuning." IFAC Proceedings Volumes 33, no. 13 (2000): 101–5. http://dx.doi.org/10.1016/s1474-6670(17)37173-2.

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Wang, Ya-Gang, and Hui-He Shao. "Optimal tuning for PI controller." Automatica 36, no. 1 (2000): 147–52. http://dx.doi.org/10.1016/s0005-1098(99)00130-2.

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Klàn, P., and R. Gorez. "Balanced Tuning of PI Controllers." European Journal of Control 6, no. 6 (2000): 541–50. http://dx.doi.org/10.1016/s0947-3580(00)71117-4.

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Airikka, Pasi. "Robust Predictive PI Controller Tuning." IFAC Proceedings Volumes 47, no. 3 (2014): 9301–6. http://dx.doi.org/10.3182/20140824-6-za-1003.00958.

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Wang, Qing-Guo, and He Ru. "Pi Tuning Under Performance Constraints." Asian Journal of Control 4, no. 4 (2008): 397–402. http://dx.doi.org/10.1111/j.1934-6093.2002.tb00079.x.

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Bhuvanendhiran, T. "Performance Evaluation of Nonlinear PI Controller on the Laboratory Type Spherical Tank Process." Asian Journal of Electrical Sciences 8, no. 2 (2019): 16–20. http://dx.doi.org/10.51983/ajes-2019.8.2.2364.

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In this paper, the implementation of Nonlinear PI controller based on error square type is designed and adopted to control of level in a spherical tank process. By use of black box model the system is found as a First order plus Dead Time model (FOPDT). Then the controller tuning strategies has been adopted namely Direct synthesis (IMC), Skogestad (IMC PI), and Nonlinear PI (error square type) tuning. Among all the three controllers tuning the error square type based Nonlinear PI tuning method shows better control performance than the other two controller tuning in terms of performance indices

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Gude, Juan J., and Evaristo Kahoraho. "New tuning rules for PI and fractional PI controllers." IFAC Proceedings Volumes 42, no. 11 (2009): 768–73. http://dx.doi.org/10.3182/20090712-4-tr-2008.00125.

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Li, Guang Zhong. "Application of Fuzzy-PI Controller in the Asynchronous Motor." Advanced Materials Research 1070-1072 (December 2014): 1210–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1210.

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This paper proposes an induction motor variable frequency speed control system based on fuzzy-PI self-tuning. The system includes coordinate transformation modules, vector control modules, space vector pulse width modules, fuzzy-PI self-tuning speed regulator, excitation current and torque current PI regulator. Because the speed regulator controlled by the fuzzy-PI self-tuning has better control effect than traditional PI. The performance can be reflected by the shorter response time, smaller overshoot. In addition, when the load torque changes, the electromagnetic torque changes more smoothly

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Dissertations / Theses on the topic "PI Tuning"

1

Thompson, Mark. "Controlling the Pi impedance matching network for fast antenna tuning." Thesis, University of York, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245897.

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Bawazir, Nada Sami. "Tuning of Plasma Membrane PI(4,5)P2 Charge Regulates Cell Migration and Glycolysis." Thesis, University of the Sciences in Philadelphia, 2020. http://pqdtopen.proquest.com/#viewpdf?dispub=27666361.

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Directional cell migration, chemotaxis, requires a polarized cell morphology in which the cell extends pseudopodia at the front and contracts the rear to move towards a stimulus. PI(4,5)P2 levels set up a threshold for the activity of signaling molecules at the rear and the leading-edge of a cell. To further demonstrate the importance of plasma membrane (PM) PI(4,5)P2 in maintaining cell morphology during chemotaxis, we used a mutant strain of the eukaryotic model system, Dictyostelium discoideum. This mutant strain lacks the type I PIP5 kinase, which is the main enzyme synthesizing PI(4,5)P2.

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Meah, Kala. "A self coordinating parallel multi-PI control scheme for an HVDC transmission system to accommodate a weak AC system." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1445047021&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Jetté, Isabelle. "PI-control in dual duct systems, a study of manual tuning and control loop interaction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq26001.pdf.

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Ferm, Oliwer. "Real-time Object Detection on Raspberry Pi 4 : Fine-tuning a SSD model using Tensorflow and Web Scraping." Thesis, Mittuniversitetet, Institutionen för elektronikkonstruktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39455.

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Edge AI is a growing area. The use of deep learning on low cost machines, such as the Raspberry Pi, may be used more than ever due to the easy use, availability, and high performance. A quantized pretrained SSD object detection model was deployed to a Raspberry Pi 4 B to evaluate if the throughput is sufficient for doing real-time object recognition. With input size of 300x300, an inference time of 185 ms was obtained. This is an improvement as of the previous model; Raspberry Pi 3 B+, 238 ms with a input size of 96x96 which was obtained in a related study. Using a lightweight model is for the

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Ahmed, Ibrahim. "Comparative evaluation of different power quality issues of variable speed wind turbines." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15920.

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The generation of wind energy deliberately becomes a significant part of generated electrical power in developed nations. Factors like fluctuation in natural wind speed and the use of power electronics present issues related power quality in wind turbine application. Following to the fact that there have been remarkable increase of wind energy in the electrical energy production worldwide, the effect on power quality and power system stability caused by wind power is considered significant, and hence the evaluation of this effect is crucial and obligatory. In order to examine and evaluate the

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Cakici, Avni. "Self-tuning PI control of industrial wastewater treatment process and simultaneous on-line estimations of oxygen uptake and transfer rates." Thesis, University of Exeter, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317288.

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Ccantuta, Chirapo Karlos Alexander. "Controle de potência do gerador de relutância variável de 12/8 utilizando o controlador fuzzy pi auto-ajustável." reponame:Repositório Institucional da UFABC, 2018.

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Orientador: Prof. Dr. José Luis Azcue Puma<br>Coorientador: Prof. Dr. José Alberto Torrico Altuna<br>Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia Elétrica, Santo André, 2018.<br>Este trabalho apresenta o controle de potência do gerador de relutância variável de 12/8 utilizando o controlador Fuzzy PI auto-ajustável e o controlador P+ressonante para o conversor conectado à rede elétrica. Inicialmente são estudados os princípios de operação da máquina e a topologia do conversor eletrônico de potência. Usando o software de simulação Matlab/Simulink

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Ozakturk, Meliksah. "Power electronic systems design co-ordination for doubly-fed induction generator wind turbines." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/power-electronic-systems-design-coordination-for-doublyfed-induction-generator-wind-turbines(ebe4de00-07ad-4b06-8b8d-79be291804e7).html.

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Wind turbine modelling using doubly-fed induction generators is a well-known subject. However, studies have tended to focus on optimising the components of the system rather than considering the interaction between the components. This research examines the interaction of the control methods for a doubly-fed induction generator (DFIG) in a wind turbine application integrating them with the crowbar protection control and DC-link brake control to make the best use of the converter. The controls of the rotor-side and the grid-side converters of the DFIG model are both well established and have be

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Chen, Yen-Ting, and 陳彥廷. "An Optimal Self-Tuning PI Controller." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/5jt5r8.

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碩士<br>國立臺北科技大學<br>自動化科技研究所<br>97<br>A Proportional-Integral (PI) controller is an important instrument in industry control application. In control engineering field, to find out the optimal PI parameters by observing system response is very important, especially when system model is difficult to identify exactly. Therefore, this paper proposes a self-tuning methodology with a proposed Gradient Bisection Algorithm (GBA) to achieve finding the optimal PI parameters in fixed-input sustaining fixed-output (FIFO) system. The whole tuning tactic is constructed under desired constraints (such as over

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Books on the topic "PI Tuning"

1

Handbook of PI and PID controller tuning rules. 3rd ed. Imperial College Press, 2009.

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O'Dwyer, Aidan. Handbook of Pi And Pid Controller Tuning Rules. 2nd ed. Imperial College Press, 2006.

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O'Dwyer, Aidan. Handbook of PI and PID Controller Tuning Rules. Imperial College Press, 2009.

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O'Dwyer, Aidan. Handbook of Pi and Pid Controller Tuning Rules. Imperial College Press, 2003.

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HANDBOOK OF PI AND PID CONTROLLER TUNING RULES. 2nd ed. IMPERIAL COLLEGE PRESS, 2006.

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Handbook of PI and PID Controller Tuning Rules. World Scientific Publishing Co Pte Ltd, 2006.

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Handbook of PI and PID controller tuning rules. World Scientific, 2003.

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8

Blaine, Judith, Hector Giral, Sabina Jelen, and Moshe Levi. Approach to the patient with hypo-/hyperphosphataemia. Edited by Robert Unwin. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0039.

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Phosphate is the most abundant anion in the human body and has an indispensable role in numerous biological functions, including energy metabolism, bone formation, signal transduction, and as a constituent of phospholipids and nucleic acids. Only 1% is in extracellular fluid, but serum phosphate (Pi) levels are subject to fine tuning involving several hormones modulating renal tubular reabsorption, intestinal absorption, and bone homeostasis to maintain a normal range from 0.81 to 1.45 mmol/L (2.5–4.5 mg/dL) in adulthood and higher levels during infancy and childhood. An approach to the diagno

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Book chapters on the topic "PI Tuning"

1

Yesil, Engin, M. Furkan Dodurka, Ahmet Sakalli, Cihan Ozturk, and Cagri Guzay. "Self-tuning PI Controllers via Fuzzy Cognitive Maps." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41142-7_57.

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David, Radu-Codruţ, Radu-Emil Precup, Stefan Preitl, József K. Tar, and János Fodor. "Three Evolutionary Optimization Algorithms in PI Controller Tuning." In Applied Computational Intelligence in Engineering and Information Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28305-5_8.

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Miguel-Escrig, Oscar. "Tuning Procedure for PI Controllers Under RQH Sampling." In Event-Based PID Controllers with Fixed Threshold Sampling Strategies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62505-3_6.

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Alfaro, Víctor M., and Ramon Vilanova. "Fragility Evaluation of PI and PID Controllers Tuning Rules." In PID Control in the Third Millennium. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2425-2_12.

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Vandervoort, Allan, Jules Thibault, and Yash Gupta. "New PI Controller Tuning Methods Using Multi-Objective Optimization." In Multi-Objective Optimization in Chemical Engineering. John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118341704.ch17.

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Himunzowa, Grayson, and Farouck Smith. "FPGA Based Self-tuning PI Controller Using IFT Technique." In Automation Control Theory Perspectives in Intelligent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33389-2_20.

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Simhachalam, Dharmana, and Rajani K. Mudi. "A Self-tuning Fuzzy PI Controller for Pure Integrating Processes." In Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02931-3_4.

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Cui, Lili, Ruibin Wu, and Dongliang Liu. "Gain Self-Tuning of PI Controller for PMSM Servo System." In Electrical, Information Engineering and Mechatronics 2011. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_220.

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Mudi, Rajani K., and Ritu Rani De Maity. "A Noble Fuzzy Self-Tuning Scheme for Conventional PI Controller." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35314-7_11.

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Fekik, Arezki, Ahmad Taher Azar, Mohamed Lamine Hamida, et al. "Modeling and Simulation of Quadcopter Using Self-tuning Fuzzy-PI Controller." In Studies in Computational Intelligence. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26564-8_8.

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Conference papers on the topic "PI Tuning"

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Warade, Amey Abhijit, V. S. Rajguru, and Sarla Adhau. "Dynamic Decoupling Method Based PI Tuning for SPMSM motor." In 2024 4th International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET). IEEE, 2024. https://doi.org/10.1109/icefeet64463.2024.10867264.

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Shukor, Syahar Azalia Ab, Wahidah Abd Halim, Atikah Razi, Mohd Amran Mohd Radzi Advanced, Nashiren Farzilah Mailah, and Mohammad Lutfi Othman. "An Optimal Tuning of PI Controller for Shunt Active Power Filter Based on PI-PSO Approach." In 2024 IEEE International Conference on Power and Energy (PECon). IEEE, 2024. https://doi.org/10.1109/pecon62060.2024.10826925.

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Sergio, Medina, Juarez Carlos, Martinez Irma, and Jimenez Ramon. "PI Controller Tuning Using Genetic Algorithm." In 2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). IEEE, 2021. http://dx.doi.org/10.1109/icmeae55138.2021.00010.

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Naresh, B., M. Vijaya Kumar, and N. Yadaiah Smieee. "GA based tuning of PI controller." In 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2011. http://dx.doi.org/10.1109/raics.2011.6069327.

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Jussila, Terho T., and Juha T. Tanttu. "A Self-Tuning Multivariable PI Controller." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4790049.

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Bhaskaran, Tripti, YangQuan Chen, and Dingyu Xue. "Practical Tuning of Fractional Order Proportional and Integral Controller (I): Tuning Rule Development." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34302.

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This paper presents a new practical tuning method for fractional order proportional and integral controller (FO-PI). The plant to be controlled is mainly FOPDT (first order plus delay time). The tuning is optimum in the sense that the load disturbance rejection is optimized yet with a constraint on the maximum or peak sensitivity. We generalized MIGO (Ms constrained integral gain optimization) based controller tuning method to handle the FO-PI case, called F-MIGO, given the fractional order α. The F-MIGO method is then used to develop tuning rules for the FOPDT class of dynamic systems. The fi

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Paridari, Kaveh, and Mohammad Saleh Tavazoei. "Fractional PI Tuning Satisfying Gain and Phase Margin Constraints." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47696.

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In this paper, an algebraic tuning rule is presented for fractional PI controllers to control first order plus dead-time processes. By using the performance map (PM) method, this tuning rule is derived in order to set the gain margin of the control system close to 3 and the phase margin close to 60 degrees. The robustness and performance of this tuning rule are compared with some well-known PI tuning rules. Simulation results are brought to demonstrate the effectiveness and robustness of this tuning formula against process dynamic uncertainties in comparison with the other tuning methods.

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Zhu, Lan-Xiang, Lei Gu, Hai-Ying Qi, Feng Yu, Ding-Wen Yu, and D. L. Yu. "Decentralised PI Controller Design and Tuning Approaches." In 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC). IEEE, 2017. http://dx.doi.org/10.1109/iccsec.2017.8446699.

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Yuan, Wenju. "A Self-Tuning Fuzzy PI Temperature Controller." In 2009 International Conference on New Trends in Information and Service Science (NISS). IEEE, 2009. http://dx.doi.org/10.1109/niss.2009.11.

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Gude, Juan J., and Evaristo Kahoraho. "Simple tuning rules for fractional PI controllers." In Factory Automation (ETFA 2009). IEEE, 2009. http://dx.doi.org/10.1109/etfa.2009.5347157.

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Reports on the topic "PI Tuning"

1

Jones, Roger M. TUNING AND FIELD SENSITIVITY OF PI-MODE STANDING WAVE LINACS FOR THE NLC. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/799094.

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