Relevant bibliographies by topics / PID; Control Systems; Tuning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'PID; Control Systems; Tuning'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "PID; Control Systems; Tuning"

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Liu, G. P., and S. Daley. "Optimal-Tuning PID Control for Industrial Systems." IFAC Proceedings Volumes 33, no. 4 (April 2000): 589–94. http://dx.doi.org/10.1016/s1474-6670(17)38307-6.

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Liu, G. P., and S. Daley. "Optimal-tuning PID control for industrial systems." Control Engineering Practice 9, no. 11 (November 2001): 1185–94. http://dx.doi.org/10.1016/s0967-0661(01)00064-8.

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Qian, Zheng Zai, Gong Cai Xin, and Jin Niu Tao. "Predictive Control Based on Fuzzy Expert PID Tuning Control." Advanced Materials Research 466-467 (February 2012): 1207–11. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1207.

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In decade years, several simple methods for the automatic tuning of PID controllers have been proposed. There have been different approaches to the problem of deriving a PID-like adaptive controller. All of these can be classified into two broad categories: model-based; or expert systems. In this paper a new expert adaptive controller is proposed in which the underlying control law is a PID structure. The design is based on the fuzzy logic and the generalized predictive control theory. The proposed controller can be applied to a large class of systems which is model uncertainty or strong non-linearity. Simulation results have also been illustrated. It shows that the proposed expert PID-like controller performed well than generally used PID.
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Liu, G. P., and S. Daley. "Optimal-tuning nonlinear PID control of hydraulic systems." Control Engineering Practice 8, no. 9 (September 2000): 1045–53. http://dx.doi.org/10.1016/s0967-0661(00)00042-3.

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Aleksandrov, A. G., and M. V. Palenov. "Self-tuning PID/I controller." Automation and Remote Control 72, no. 10 (October 2011): 2010–22. http://dx.doi.org/10.1134/s000511791110002x.

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Atherton, D. P. "PID controller tuning." Computing & Control Engineering Journal 10, no. 2 (April 1, 1999): 44–50. http://dx.doi.org/10.1049/cce:19990202.

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Chen, Wen Wen, You Kuan Liu, Xiang Yu Tan, Jian Ping Sun, Shao Quan Zhang, Jiao Du, and Shuo Wang. "PID Parameter Optimization Based on Fuzzy Control." Advanced Materials Research 960-961 (June 2014): 1156–61. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1156.

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PID controllers are widely used in industrial process control. The determination of the conventional PID controller parameter tuning is based on obtaining the mathematical model of controlled objects and according to certain rules, which is difficult to adapt to complex control systems. In this paper ,against its adverse effect parameter tuning, long time debugging, defects and poor adaptability of the controlled object,the fuzzy control and PID control are combined and the fuzzy PID controller is proposed. Then, I combine the examples of thermal power units using MATLAB to simulate. The simulation results show that the fuzzy self-tuning PID controller not only has the advantages of fuzzy control such as fast, adaptability, etc, but also the characteristics of high accuracy PID control, which make the system has a good control effect.
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Vrančić, Damir, Mikulaš Huba, and Paulo Moura Oliveira. "PID controller tuning for integrating processes." IFAC-PapersOnLine 51, no. 4 (2018): 586–91. http://dx.doi.org/10.1016/j.ifacol.2018.06.159.

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YAMAMOTO, Toru, and Sirish L. SHAH. "A Design of Multiloop Self-Tuning PID Control Systems." Transactions of the Institute of Systems, Control and Information Engineers 11, no. 4 (1998): 163–71. http://dx.doi.org/10.5687/iscie.11.163.

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Martin, P., and R. Katebi. "Multivariable PID tuning of dynamic ship positioning control systems." Journal of Marine Engineering & Technology 4, no. 2 (January 2005): 11–24. http://dx.doi.org/10.1080/20464177.2005.11020190.

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Dissertations / Theses on the topic "PID; Control Systems; Tuning"

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Youney, Justin. "A COMPARISON AND EVALUATIONOFCOMMON PID TUNING METHODS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2310.

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The motivation behind this thesis is to consolidate and evaluate the most common Proportional Integral Derivative (PID) controller tuning techniques used in industry. These are the tuning techniques used when the plant transfer function is not known. Many of these systems are poorly tuned because such consolidated information is not easily found in one single source such as this thesis. Once one of the tuning methods are applied almost always there will be further fine tuning needed to bring the system into the required design criteria. The purpose here is to find out which tuning technique will yield the lowest percent overshoot and the shortest settling time for all situations. This will give the engineer a good starting point; to minimally further adjust parameters to achieve the desired design criteria. There will also be discussion on the various algorithms used in industry. Four tuning methods will be evaluated based on their ability to control different style plants. The comparison criteria will be percent overshoot and settling time for an applied step input. The tuning methods chosen were the Ziegler-Nichols Open Loop method, the CHR method for 0% overshoot, the Ziegler-Nichols Closed Loop method, and the Rule of Thumb method. It is shown that for a second order plant with a lag and pure integration in its transfer function, the Open Loop method yielded the lowest results in terms of percent overshoot, yet the Closed Loop method had the shortest settling time. For systems of higher order than two it was shown that the CHR method gave the best performance however as the order increased the Closed Loop method gave a shorter settling time. For systems of higher order with varying lags in series the CHR method gave the best results. The Rule of thumb method usually gave similar results to that of the Closed Loop method; however for higher order systems the Rule of Thumb method gave less percent overshoot but with a longer settling time than the Closed Loop method. Since these tuning methods are used when the plant transfer function is not known, and none of the rules were found to give consistently the lowest percent overshoot, and settling time for all plants tested, there can not be a recommendation as to which method an engineer should choose to use. If the plant transfer function is known or can be reasonably modeled then the following recommendations can be followed. When tuning systems with pure integrations in their transfer function the Open Loop or Closed Loop method be used. When tuning systems of order higher than two the CHR or Closed Loop method should be used, however with high order systems with varying lags the CHR method should be used. It is the responsibility of the engineer to know how and when to implement each of the tuning rules properly.
M.S.E.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering MSEE
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Stevanatto, Filho Luiz Carlos. "Identificação parcial da resposta em freqüência de sistemas multivariáveis e sintonia de controladores descentralizados." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/15739.

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Utilização de experimentos com relés para identificação de pontos da resposta em freqüência de sistemas multivariáveis quadrados e sintonia de controladores PID descentralizados.
It use relay experiments for square multivariable system frequency response and decentralized PID controller tunning.
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Björk, Carl Johan. "PID tuning with Ant Colony Optimization (ACO) : A framework for a step response based tuning algorithm." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33903.

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The building automation industry lacks an affordable, simple, solution for autonomous PID controller tuning when overhead variables fluctuate. In this project, requested by Jitea AB, a solution was developed, utilising step response process modelling, numerical integration of first order differential equations, and Ant Colony Optimization (ACO). The solution was applied to two control schemes; simulated outlet flow from a virtual water tank, and the physical air pressure in the ventilation system of a preschool in Sweden. An open-loop step response provided the transfer function in each case, which, after some manipulation, could be employed to predict the performance of any given set of PID parameters, based on a weighted cost function. This prediction model was used in ACO to find optimal settings. The program was constructed in both Structured Control Language and Structured Text and documented in an approachable way. The results showed that the program was, in both cases, able to eliminate overshoot and retain the settling time (with a slightly raised rise time) achieved with settings tuned per the current methods of Jitea AB. Noise and oscillations present in the physical system did not appear to have any major negative influence on the tuning process. The program performed above Jitea AB’s expectation, and will be tested in more scenarios, as it showed promise. Autonomous implementation could be of societal benefit through increased efficiency and sustainability in a range of processes. In future studies, focus should be on improving the prediction model, and further optimising the ACO variables.
Byggnadsautomationsbranschen saknar en kostnadseffektiv lösning för att autonomt trimma in PID-regulatorer när överordnade variabler fluktuerar. I detta (av Jitea AB beställda) arbete, utvecklades en lösning baserad på stegsvarsmodellering, numerisk integration av första gradens ordinära differentialekvationer och myrkolonisoptimering (ACO). Lösningen applicerades i två regleringsfall; en simulerad utloppsventil från en virtuell vattentank, och det fysiska lufttrycket i ventilationssystemet på en förskola i Sverige. Ett stegsvar med öppen slinga gav en överföringsfunktion i respektive fall, som efter viss manipulering kunde nyttjas för att förutspå prestandan för en uppsättning PID-parametrar baserat på en samlad, viktad kostnadsfunktion. Predikteringsmodellen implementerades i ACO för att finna optimala parametrar. Programmet konstruerades i Structured Control Language och Structured Text, och dokumenterades på ett pedagogiskt sätt. Resultaten visade att programmet (i båda fallen) klarade att eliminera översläng med bibehållen stabiliseringstid (och något förskjuten stigningstid) jämfört med Jitea AB:s existerande trimningsmetod. Signalbrus och oscillationer i det fysiska systemet verkade inte ha någon avsevärd negativ inverkan på trimningsprocessen. Programmet presterade över Jitea AB:s förväntan, och kommer (med tanke på de lovande resultaten) fortsatt att testas i fler scenarion. Implementation av en autonom version skulle kunna innebära flera samhälleliga förmåner i form av ökad verkningsgrad och hållbarhet i en rad processer. I framtida studier bör fokus läggas på att ytterligare förbättra prediktionsmodellen, samt att vidare utforska de optimala myrkolonisvariablerna.
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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 been shown to work. Typically the crowbar protection is designed in order to protect the rotor-side converter and the power electronic components of the DFIG system from high currents occurring in the rotor due to the faults. The DC-link brake-overvoltage protection is also designed to prevent the overcharging of the DC-link capacitor placed between the rotor-side converter and the grid-side converter. In order to show that these protection schemes work and with thought can co-ordinate with each other, tests consisting of a number of balanced three-, two- and one-phase voltage sags are applied to the network voltage. The main contributions of this thesis are establishing operational tuning and design limits for the controllers and system subassemblies. This is to minimise the electrical subsystem interaction while maintaining adequate performance, and have an improved DC-link control. This work also includes a full electrical system study of the wind turbine and an essential literature review on significant references in the field of the DFIG wind turbine system modelling, control and protection. Specifically this research project makes a number of novel contributions to the literature: enhanced DC voltage control including operating point sensitivity analysis and dynamic stiffness assessment, sensitivity and robustness analyses of the power loop control and control loop segmentation by appropriately tuning the controller loops.
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Olsson, Markus. "Simulation Comparison of Auto-Tuning Methods for PID Control." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11106.

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Auto-tuning has become an important function in distributed control systems (DCS) and is especially appreciated in large industries that can have hundreds of controllers. In the DCS 800xA manufactured by ABB, there is an auto-tuning method implemented based on a relay experiment to determine the ultimate gain and the ultimate period, with which the PID parameters are obtained using the modified Ziegler-Nichols tuning rules. The tuning procedure can then proceed with a step identification experiment to get additional parameters for kappa-tau tuning. In the previous DCS, called Advant, there was another auto-tuning approach implemented. This method was based on dominant pole design, which included an identification of the process. The purpose of this thesis is to compare these auto-tuning methods, to investigate if the dominant pole placement method should be migrated to the 800xA system.


Automatisk trimning har blivit en viktig funktion i distribuerade styrsystem (DCS och är speciellt av intresse för stora industrier som kan ha flera hundra regulatorer. Den automatiska trimningen som idag är implementerad i ABB:s DCS 800xA är baserad på ett reläexperiment för att bestämma den ultimata förstärkningen och den ultimata periodtiden. Modifierade Ziegler-Nichols trimningsregler används sedan för att bestämma PID parametrarna. Vidare kan trimningen fortsätta med ett stegsvars-experiment för att erhålla ytterliggare parametrar och trimma med kappa-tau metoden. Den automatiska trimningsmetoden som var implementerad i tidigare DCS, Advant, var baserad på dominant polplacering med identifiering av processen. Syftet med detta examensarbete är att jämföra dessa automatiska trimningsmetoder för att undersöka om den tidigare trimningsmetoden baserad på dominant polplacering ska implementeras i 800xA systemet.

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Ardinugroho, Servatius Bismanditio. "Implementation and Tuning of PID, Fractional PID and LA Controllers for pH Control." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/38747.

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Maintaining the pH of a fluid or a solution at a specific value is a concern in many industrial processes, wastewater management, and food and pharmaceutical production. Given the importance of controlling pH in many processes, the objective of this thesis is to study and compare the effectiveness of some controller algorithms to control the pH of a process. In this study, the performance of three controller algorithms, namely PID, fractional PID and LA controllers, is evaluated for the control of a simple neutralization process using conventional controller performance metrics. Performance metrics used are the response time, the Integral of the Time weighted Absolute Error (ITAE), the Integral of the Squared Error (ISE), and the Integral of the Squares of the changes (ΔU) in the manipulated variable (ISDU). The three controllers were therefore tuned to minimize one or a combination of the controller performance metrics. Results show that PID, fractional PID and LA controllers implemented and tested in this research are all worthy controllers for maintaining pH of the neutralization process. Simulation results show that the three controllers can be used with confidence to cope with the high nonlinearity of a pH neutralization process provided that the process is properly designed. The relative small gain in performance obtained with the fractional PID controller, compared to a linear PID controller, suggests that it is not worth resorting to a fractional PID controller given its complexity and higher computation effort. Results show that PID and LA controllers are easy to implement with short response time and low ITAE and ISDU performance metrics.
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Olsson, Johan. "Automatic Tuning of Control Parameters for Single Speed Engines." Thesis, KTH, Reglerteknik, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109468.

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In Scania’s single speed engines for industrial and marine use, the engine speed is controlled by a PI-controller. This controller is tuned independent of engine type and application. This brings certain disadvantages since the engines are used in a wide range of applications where the dynamics may differ. In this thesis, the possibility to tune the controller automatically for a specific engine installation has been investigated. The work shows that automatic tuning is possible. By performing an identification experiment on the engine, the parameters in a first order model describing the dynamics of the engine and the load aggregate are determined. The control parameters are then determined as functions of the model parameters. Measurements on a generator set show that the proposed method provides a controller which is able to follow changes in the reference value, and to compensate for load disturbances.
I Scania’s envarvsmotorer för industri- och marin-bruk regleras varvtalet av en PI-regulator. Denna regulator är inställd oberoende av motortyp och applikation. Detta medför vissa nackdelar då motorerna används i flera olika typer av applikationer där dynamiken kan variera. I detta arbete har det undersökts huruvida det är möjligt att automatiskt ställa in parametrarna i en PID-regulator för en enskild motorinstallation. Arbetet visar att automatisk inställning är möjlig. Genom att göra ett identifieringsexperiment på motorn bestäms parametrarna i en första ordningens modell som beskriver dynamiken för den aktuella konfigurationen av motor och belastande aggregat. Därefter bestäms regulatorparametrarna som funktion av modellparametrarna. Mätningar på ett generatoraggregat visar att man med hjälp av den föreslagna metoden erhåller en inställning av regulatorn som både klarar av att följa börvärdesförändringar och kompensera för laststörningar.
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Goodhart, Sean Gary. "Self-tuning control of industrial systems." Thesis, Coventry University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303380.

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Burnham, K. J. "Self-tuning control for bilinear systems." Thesis, Coventry University, 1991. http://curve.coventry.ac.uk/open/items/6b79dde0-0b0c-025b-98aa-f502713f796e/1.

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Prompted by the desire to increase the industrial applicability range of self-tuning control, the objective of this work has been to extend the standard linear self-tuning framework to facilitate the design of self-tuning controllers for bilinear systems. Bilinear systems form a well structured class of non-linear systems within which linear systems coexist as a special subclass. They are, therefore, appropriate for modelling a wider range of processes and plant than the restrictive, yet convenient, linear model structures since such models are valid both within the linear subregion and beyond. In addition to extending the self-tuning framework for bilinear systems another significant contribution of the Thesis is the introduction of a cautious least squares estimation procedure which also enhances the existing linear self-tuning schemes.
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Bozin, A. S. "Convergence of self-tuning systems : pole assignment and self-tuning control." Thesis, University of Manchester, 1991. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492069.

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Books on the topic "PID; Control Systems; Tuning"

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Tuning of industrial control systems. Research Triangle Park, N.C: Instrument Society of America, 1990.

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Choi, Youngjin, and Wan Kyun Chung, eds. PID Trajectory Tracking Control for Mechanical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-40041-7.

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J, Gawthrop P. Continuous-time self-tuning control. Letchworth, Hertfordshire, England: Research Studies Press, 1987.

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B, Zarrop Martin, ed. Self-tuning systems: Control and signal processing. Chichester: Wiley, 1991.

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Shinskey, F. Greg. Process control systems: Application, design, and tuning. 4th ed. New York: McGraw-Hill, 1996.

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Shinskey, F. Greg. Process-control systems: Application, design, and tuning. 3rd ed. New York: McGraw-Hill, 1988.

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Hassan, Sabo Miya, Rosdiazli Ibrahim, Nordin Saad, Kishore Bingi, and Vijanth Sagayan Asirvadam. Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47737-0.

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Song, Yong-Duan. Control of Nonlinear Systems via PI, PD and PID. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis: CRC Press, 2018. http://dx.doi.org/10.1201/9780429455070.

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Yu, Cheng-Ching. Autotuning of PID controllers: Relay feedback approach. London: Springer, 1999.

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M, Chidambaram, ed. Control of unstable systems. Oxford: Alpha Science, 2006.

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Book chapters on the topic "PID; Control Systems; Tuning"

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Choi, Youngjin, and Wan Kyun Chung. "5 Automatic Performance Tuning." In PID Trajectory Tracking Control for Mechanical Systems, 71–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-40041-7_5.

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Chidambaram, M., and Nikita Saxena. "Tuning Rules for PID Controllers for Unstable Systems." In Advances in Industrial Control, 151–65. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7727-2_8.

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Choi, Youngjin, and Wan Kyun Chung. "4 Performance Limitation and Tuning." In PID Trajectory Tracking Control for Mechanical Systems, 47–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-40041-7_4.

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Huang, Congzhi, and Yan Bai. "PID Tuning of Networked Feedforward-Feedback Control Systems." In Lecture Notes in Electrical Engineering, 369–76. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2185-6_45.

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Alfaro, Víctor M., and Ramon Vilanova. "Control System Evaluation Metrics." In Model-Reference Robust Tuning of PID Controllers, 21–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28213-8_3.

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Sravan Bharadwaj, C., T. Sudhakar Babu, and N. Rajasekar. "Tuning PID Controller for Inverted Pendulum Using Genetic Algorithm." In Advances in Systems, Control and Automation, 395–404. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4762-6_38.

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Bahgaat, Naglaa K., and M. A. Moustafa Hassan. "Swarm Intelligence PID Controller Tuning for AVR System." In Advances in Chaos Theory and Intelligent Control, 791–804. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30340-6_33.

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Gross, Clemens, and Hendrik Voelker. "A Comparison of Tuning Methods for PID-Controllers with Fuzzy and Neural Network Controllers." In Cyber-Physical Systems and Control, 74–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34983-7_8.

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Możaryn, J., and K. Malinowski. "Tuning Rules Selection and Iterative Modification of PID Control System Parameters." In Mechatronics 2013, 677–84. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02294-9_85.

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Moshiri, Behzad, and Farzan Rashidi. "Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems." In Lecture Notes in Computer Science, 437–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28651-6_64.

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Conference papers on the topic "PID; Control Systems; Tuning"

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Omatu, S., T. Fujinaka, Y. Kishida, and M. Yoshioka. "Self-tuning neuro-PID for SIMO systems." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7100014.

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Pohjola, Mikael, Lasse Eriksson, and Heikki Koivo. "Tuning of PID Controllers for Networked Control Systems." In IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics. IEEE, 2006. http://dx.doi.org/10.1109/iecon.2006.347475.

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Mastalli, Carlos, Dimitar Ralev, Novel Certad, and Gerardo Fernandez-Lopez. "Asymptotic Stability Method for PID Controller Tuning in a Backhoe Machine." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3884.

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This paper presents the modeling and study of dynamic behavior of a backhoe machine for tuning of PID controller. The tuning procedure of PID controller is performed, in detailed, for the case of a typical operation, digging a foundation and truck loading. This tuning procedure guarantees the local asymptotic stability in the sense of Lyapunov of origin of the closed-loop equation of PID controller. Besides the tuning procedure requires the knowledge of certain properties of dynamic model, which are dependent on the desired trajectory. Finally it is demonstrated that this tuning procedure proves to be effective, and also robust in the execution of other tasks performed by the backhoe machine.
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Eriksson, Lasse M., and Mikael Johansson. "PID Controller Tuning Rules for Varying Time-Delay Systems." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282655.

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Akihiro Oi, Chikashi Nakazawa, Tetsuro Matsui, Hiroe Fujiwara, Kouji Matsumoto, Hideyuki Nishida, Jun Ando, and Masato Kawaura. "Development of PSO-based PID tuning method." In 2008 International Conference on Control, Automation and Systems (ICCAS). IEEE, 2008. http://dx.doi.org/10.1109/iccas.2008.4694410.

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Lieslehto, J., J. T. Tanttu, and H. N. Koivo. "An Expert System for Tuning PID Controllers." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4789725.

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Duan, Xiao-Gang, Han-Xiong Li, and Hua Deng. "A simple tuning method for fuzzy PID control." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630376.

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Pi-Mira, Jaume, Eduard Mateo, Ramon Sarrate-Estruch, and Joseba Quevedo Casin. "A three-stage automatic PID tuning system." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7099544.

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Vilanova, R., and O. Arrieta. "PID tuning for cascade control system design." In 2008 Canadian Conference on Electrical and Computer Engineering - CCECE. IEEE, 2008. http://dx.doi.org/10.1109/ccece.2008.4564850.

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Mahajan, Vrushali P., Ajay B. Patil, and Tejas D. Gangurde. "PID Tuning Methods For FOPTD System." In 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2019. http://dx.doi.org/10.1109/icicict46008.2019.8993268.

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Reports on the topic "PID; Control Systems; Tuning"

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SMITH, FG III. Control Loop Tuning and Surge Response for Hanford WTP Melter Offgas Systems. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/825249.

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Wright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, March 2020. http://dx.doi.org/10.15760/mem.64.

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Abstract:
Highly imperiled Oregon white oak ecosystems are a regional conservation priority of numerous organizations, including Oregon Metro, a regional government serving over one million people in the Portland area. Previously dominant systems in the Pacific Northwest, upland prairie and oak woodlands are now experiencing significant threat, with only 2% remaining in the Willamette Valley in small fragments (Hulse et al. 2002). These fragments are of high conservation value because of the rich biodiversity they support, including rare and endemic species, such as Delphinium leucophaeum (Oregon Department of Agriculture, 2020). Since 2010, Metro scientists and volunteers have collected phenology data on approximately 140 species of forbs and graminoids in regional oak prairie and woodlands. Phenology is the study of life-stage events in plants and animals, such as budbreak and senescence in flowering plants, and widely acknowledged as a sensitive indicator of environmental change (Parmesan 2007). Indeed, shifts in plant phenology have been observed over the last few decades as a result of climate change (Parmesan 2006). In oak systems, these changes have profound implications for plant community composition and diversity, as well as trophic interactions and general ecosystem function (Willis 2008). While the original intent of Metro’s phenology data-collection was to track long-term phenology trends, limitations in data collection methods have made such analysis difficult. Rather, these data are currently used to inform seasonal management decisions on Metro properties, such as when to collect seed for propagation and when to spray herbicide to control invasive species. Metro is now interested in fine-tuning their data-collection methods to better capture long-term phenology trends to guide future conservation strategies. Addressing the regional and global conservation issues of our time will require unprecedented collaboration. Phenology data collected on Metro properties is not only an important asset for Metro’s conservation plan, but holds potential to support broader research on a larger scale. As a leader in urban conservation, Metro is poised to make a meaningful scientific contribution by sharing phenology data with regional and national organizations. Data-sharing will benefit the common goal of conservation and create avenues for collaboration with other scientists and conservation practitioners (Rosemartin 2013). In order to support Metro’s ongoing conservation efforts in Oregon white oak systems, I have implemented a three-part master’s project. Part one of the project examines Metro’s previously collected phenology data, providing descriptive statistics and assessing the strengths and weaknesses of the methods by which the data were collected. Part two makes recommendations for improving future phenology data-collection methods, and includes recommendations for datasharing with regional and national organizations. Part three is a collection of scientific vouchers documenting key plant species in varying phases of phenology for Metro’s teaching herbarium. The purpose of these vouchers is to provide a visual tool for Metro staff and volunteers who rely on plant identification to carry out aspects of their job in plant conservation. Each component of this project addresses specific aspects of Metro’s conservation program, from day-to-day management concerns to long-term scientific inquiry.
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