Relevant bibliographies by topics / Setpoint tracking

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

Academic literature on the topic 'Setpoint tracking'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Setpoint tracking"

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Minh, Vu Trieu, and Fakhruldin Bin Mohd Hashim. "Robust Model Predictive Control Schemes for Tracking Setpoints." Journal of Control Science and Engineering 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/649461.

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This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. The state violation can be regulated by changing the value of the weighting factor. A brief comparative simulation study of the two tracking setpoint RMPC schemes is done via simple examples to demonstrate the ability of the softened state constraint schemes. Finally, some features of future research from this study are discussed.
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Limon, Daniel, Antonio Ferramosca, Ignacio Alvarado, and Teodoro Alamo. "Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals." IEEE Transactions on Automatic Control 63 (February 3, 2024): 3735–50. https://doi.org/10.1109/TAC.2018.2798803.

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This paper presents a novel tracking predictive controller for constrained nonlinear systems capable to deal with sudden and large variations of a piece-wise constant setpoint signal. The uncertain nature of the setpoint may lead to stability and feasibility issues if a regulation predictive controller based on the stabilizing terminal constraint is used. The tracking model predictive controller presented in this paper extends the MPC for tracking for constrained linear systems to the more complex case of constrained nonlinear systems. The key idea is the addition of an artificial reference as a new decision variable. The considered cost function penalizes the deviation of the predicted trajectory with respect to the artificial reference as well as the distance between the artificial reference and the setpoint. Closed-loop stability and recursive feasibility for any setpoint are guaranteed, thanks to an appropriate terminal cost and extended stabilizing terminal constraint. Also, two simplified formulations are shown: the design based on a terminal equality constraint and the design without terminal constraint. The resulting controller ensures recursive feasibility for any changing setpoint. In the case of unreachable setpoints, asymptotic stability of the optimal reachable setpoint is also proved. The properties of the controller have been tested on a constrained continuous stirred tank reactor simulation model and have been experimentally validated on a four-tanks plant.
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Lyu, Dun, Yanchao Zhao, Yanhong Song, Hui Liu, and Dawei Wang. "Mechanism Analysis of Time-Dependent Characteristic of Dynamic Errors of Machine Tools." Machines 10, no. 2 (2022): 160. http://dx.doi.org/10.3390/machines10020160.

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The Dynamic Errors (DEs) of individual axes present Time-dependent Characteristics (TDCs) because the setpoints, as the input of the servo feed system, change in velocity, acceleration and jerk during the feed motion. Deep insight into the TDC contributes to the effective control of DEs. However, up to now, mechanism analysis about the TDCs of DEs are indistinct and inadequate due to a lack of analysis on the TDC of setpoint frequency. So, in this study, the mechanism of the TDC of DE is investigated by extracting the TDC of setpoint frequency. Firstly, the servo dynamics model is established for presenting the DE and its respective components, the Dynamic Error Inside Servo-loop (DEIS) (tracking error) and the Dynamic Error Outside Servo-loop (DEOS) under to and fro motions. Secondly, time–frequency analysis is carried out on the setpoints of the to and fro motions to present a TDC of setpoint frequency which is described as the Time-dependent Setpoint Bandwidth (TDSB) and the Time-dependent Potential Excitation (TDPE). Finally, the correlation between the TDSBs and DEISs and the correlation between the TDPEs and DEOSs are investigated, respectively. On these bases, the mechanism of the TDC of DE is analyzed. The results show that the TDSB, which is related to the acceleration of setpoints, accounts for the TDC of the DEIS; that the TDPE, which is related to the jerk of setpoints, accounts for the TDC of the DEOS in vibration-form; and that the TDC of transient-form DEOS is determined by the change in acceleration of the setpoints.
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Lesage-Landry, Antoine, and Joshua A. Taylor. "Setpoint Tracking With Partially Observed Loads." IEEE Transactions on Power Systems 33, no. 5 (2018): 5615–27. http://dx.doi.org/10.1109/tpwrs.2018.2804353.

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Sukkarnkha, Pisit, and Chanin Panjapornpon. "Two-degree-of-freedom Controller Design for Uncertain Processes Using Input/output Linearization Control Technique." ASEAN Journal of Chemical Engineering 11, no. 1 (2011): 16. http://dx.doi.org/10.22146/ajche.50039.

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In this work, a new control method for uncertain processes is developed based on two-degree-of-freedom control structure. The setpoint tracking controller designed by input/output linearization technique is used to regulate the disturbance-free output and the disturbance rejection controller designed is designed by high-gain technique. The advantage of two-degree-of-freedom control structure is that setpoint tracking and load disturbance rejection controllers can be designed separately. Open-loop observer is applied to provide disturbance-free response for setpoint tracking controller. The process/disturbance-free model mismatches are fed to the disturbance rejection controller for reducing effect of disturbance. To evaluate the control performance, the proposed control method is applied through the example of a continuous stirred tank reactor with unmeasured input disturbances and random noise kinetic parametric uncertainties. The simulation results show that both types of disturbances can be effectively compensated by the proposed control method.
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Pannocchia, Gabriele. "Robust model predictive control with guaranteed setpoint tracking." Journal of Process Control 14, no. 8 (2004): 927–37. http://dx.doi.org/10.1016/j.jprocont.2004.03.001.

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Goldschmidt, L., L. Hallager, and S. Bay Jørgensen. "Multivariable Adaptive Setpoint Tracking of a Chemical Reactor." IFAC Proceedings Volumes 18, no. 15 (1985): 159–64. http://dx.doi.org/10.1016/b978-0-08-033431-8.50031-2.

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Dixon, W. E., D. M. Dawson, and E. Zergeroglu. "Tracking and Regulation Control of a Mobile Robot System With Kinematic Disturbances: A Variable Structure-Like Approach." Journal of Dynamic Systems, Measurement, and Control 122, no. 4 (2000): 616–23. http://dx.doi.org/10.1115/1.1316795.

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This paper presents the design of a variable structure-like tracking controller for a mobile robot system. The controller provides robustness with regard to bounded disturbances in the kinematic model. Through the use of a dynamic oscillator and a Lyapunov-based stability analysis, we demonstrate that the position and orientation tracking errors exponentially converge to a neighborhood about zero that can be made arbitrarily small (i.e., the controller ensures that the tracking error is globally uniformly ultimately bounded (GUUB)). In addition, we illustrate how the proposed tracking controller can also be utilized to achieve GUUB regulation to an arbitrary desired setpoint. An extension is also provided that illustrates how a smooth, time-varying control law can be utilized to achieve setpoint regulation despite parametric uncertainty in the kinematic model. Simulation results are presented to demonstrate the performance of the proposed controllers. [S0022-0434(00)00504-9]
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Reddy, Vakiti Srilatha, Harivardhagini Subhadra, S. Prananvanand, A. Vimala Juliet, and Gopisetty Ramesh. "Controller Design for Temperature Regulation in a Nonlinear Industrial Heat Exchanger System." E3S Web of Conferences 616 (2025): 03012. https://doi.org/10.1051/e3sconf/202561603012.

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A heat exchanger enables heat transfer between two fluids without mixing them. Its performance depends on factors like temperature difference, heat transfer area, and fluid flow rates. Heat exchangers are used in industries such as petroleum refining, food processing, nuclear power, thermal management in spacecraft, and electricity production. This study focuses on designing, modeling, and testing controllers for a nonlinear heat exchanger system. Initially, the baseline performance is evaluated, followed by an analysis of system behavior under various conditions. The transient response and error criteria of control strategies are assessed through setpoint tracking. MATLAB is used to implement the control algorithm, allowing real-time monitoring of the system’s input and output for different setpoints. The controller adjusts to ensure optimal heat transfer and performance.
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Munaro, Celso J., and Gercilio Zuqui Junior. "Data-driven performance monitoring under setpoint tracking and disturbance rejection." IFAC-PapersOnLine 58, no. 14 (2024): 569–74. http://dx.doi.org/10.1016/j.ifacol.2024.08.397.

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Dissertations / Theses on the topic "Setpoint tracking"

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Amiri, Mohammad Sadegh. "Robustness versus performance tradeoffs in PID tuning." Master's thesis, 2009. http://hdl.handle.net/10048/647.

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Thesis (M. Sc.)--University of Alberta, 2009.<br>Title from pdf file main screen (viewed on Dec. 10, 2009). "A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Chemical Engineering, Department of Chemical and Materials Engineering, University of Alberta." Includes bibliographical references.
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Book chapters on the topic "Setpoint tracking"

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Richter, Jan H. "Setpoint Tracking Recovery after Actuator Faults in Saturated Systems." In Lecture Notes in Control and Information Sciences. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17628-9_7.

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Richter, Jan H. "Setpoint Tracking Recovery after Actuator and Sensor Faults in Piecewise Affine Systems." In Lecture Notes in Control and Information Sciences. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17628-9_11.

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Adukwu, Ojonugwa, Darci Odloak, and Fuad Kassab Junior. "Optimization of CSTR Using Infinite Horizon Model Predictive Control with Setpoint Tracking and with Input Targets and Control Zones." In Lecture Notes in Control and Information Sciences - Proceedings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85318-1_44.

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Vrančić, Damir, and Mikuláš Huba. "Improving Disturbance-Rejection by Using Disturbance Estimator." In Control Based on PID Framework - The Mutual Promotion of Control and Identification for Complex Systems. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95615.

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The main tasks of control in various industries are either tracking the setpoint changes or rejecting the process disturbances. While both aim at maintaining the process output at the desired setpoint, the controller parameters optimised for setpoint tracking are generally not suitable for optimal disturbance rejection. The overall control performance can be improved to some extent by using simpler 2-DOF PID controllers. Such a controller structure allows the disturbance rejection to be optimised, while it also improves the setpoint tracking performance with additional controller parameters (usually through the setpoint weighting factors). Since such 2-DOF structures are usually relatively simple, the optimization of tracking performance is usually limited to the reduction of process overshoots instead of achieving an optimal (fast) tracking response. In this chapter, an alternative approach is presented in which the parameters of the PID controller are optimised for reference tracking, while the performance of the disturbance rejection is substantially increased by introducing a simple disturbance estimator approach. The mentioned estimator requires adding two simple blocks to the PID controller. The blocks are the second-order transfer functions whose parameters, including the PID controller parameters, can be calculated analytically from the process characteristic areas (also called process moments). The advantage of such an approach is that the mentioned areas can be analytically calculated directly from the process transfer function (of any order with time delay) or from the time response of the process when the steady state of the process is changed. Both of the above calculations are absolutely equivalent. Moreover, the output noise of the controller is under control as it is considered in the design of the controller and compensator. The closed loop results on several process models show that the proposed method with disturbance estimator has excellent tracking and disturbance rejection performance. The proposed controller structure and tuning method also compare favourably with some existing methods based on non-parametric description of the process.
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Ghosh, Sudipta, Arijit Bhowmik, DipaBala Sarkar, Anirban Bhatta, and Biswajit Chakraborty. "Fractional Order PID controller for Setpoint Tracking and Load Rejection." In Intelligent Electrical Systems: A Step towards Smarter Earth. CRC Press, 2021. http://dx.doi.org/10.1201/9780429355998-24.

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Sobana Rani, K. Sheela, Dattathreya, Shubhi Jain, Nayani Sateesh, M. Lakshminarayana, and Dimitrios Alexios Karras. "Construction and Evaluation of Deep Neural Network-based Predictive Controller for Drug Preparation." In AI and IoT-based Intelligent Health Care & Sanitation. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815136531123010007.

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The evaporator used in the pharmaceutical industry is for drug preparation. The purpose of the evaporator in drug manufacturing is to extract the water content in the material through the heating process. In this research, the SISO evaporator is taken, which contains temperature as input and dry matter content as output. The mathematical modelling of the drug preparation evaporator is done with the help of the system identification method. Controlling and maintaining the temperature inside an evaporator is a tedious process. In this regard, the Neural Network predictive controller (NNPC) is designed and implemented for drug preparation. It helps to predict the future performance of the evaporator and tune the control signal based on that. The setpoint tracking challenge is given to the designed controller. For analysing the performance of the controller, the error metrics, such as integral square error (ISE), integral absolute error (IAE), integral time square error (ITSE), and integral time, absolute error (ITAE), are employed. The time-domain specification, such as rise time, settling time, and overshoot, is also used to better understand controller performance. From the above two analyses, the conclusion is made that the predictive controller is performing well in comparison with the conventional PID controller in the drug preparation pharmaceutical industry.
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Venkataraman, Aravind Pitchai, Veeramani Veerapathran, Suleyman Malikmyradovich Nokerov, Khalid Ali Khan, and Subramanian Pitchai Venkataraman. "Simple Recursive Technique to Improve Closed Loop System Time Domain Analysis." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230516.

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The control systems research society is highly focused on achieving the closed loop response with minimum time domain specifications such as rise time and settling time. By achieving the desired closed loop response with less performance indices and less time domain specifications, the objective of robust control design for a plant or process is achieved. In this paper, a novel computational method Error Recursion – Reduction Computational (ERRC) technique has been proposed to control dynamics in the industrial process, the proposed technique has been highly focus on reducing error and time domain specifications. The highly nonlinear two-tank spherical interacting tank is considered for analysis. The process models were identified as multi-linear models and model parameters were identified at various operating conditions with respect to the step-change technique. Optimised PI controller parameters were identified by using the conventional internal model control (IMC) based tuning technique and the closed loop results were compared with the results of the proposed method. The simulation results were outfitted to delineate the adequacy of the proposed method by comparing the results using time domain analysis and performance indices, in addition to this the robustness analysis was done using setpoint tracking and regulatory analysis. This technique will be recommended for industrial application, to minimise the error and the process reaction time.
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Conference papers on the topic "Setpoint tracking"

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Yılmaz, Yunus Emre, Stavros Orfanoudakis, and Pedro P. Vergara. "Reinforcement Learning for Optimized EV Charging Through Power Setpoint Tracking." In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2024. https://doi.org/10.1109/isgteurope62998.2024.10863457.

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Ferrante, F., M. Leomanni, M. L. Fravolini, and S. Tarbouriech. "Setpoint Tracking for a Class of Lur’e Discrete-Time Systems." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886072.

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Abuthahir, M. U., and Nabil Magbool Jan. "Time-Varying Setpoint Tracking for Batch Process Control Using Reinforcement Learning." In 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2024. https://doi.org/10.1109/icarcv63323.2024.10821550.

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Van Leeuwen, Steven, and Ilya Kolmanovsky. "A Computation Governor for ADMM-Based MPC with Constraint Satisfaction and Setpoint Tracking." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644269.

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Fowler, Lee, and Jonathan Rogers. "A Virtual Pilot Algorithm for Synthetic HUMS Data Generation." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11470.

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Regime recognition is an important tool for creation of usage spectra, component lifetime prediction, and fatigue loads analysis. During development of regime recognition (RR) codes, it is often necessary to establish baseline performance and accuracy of RR algorithms using scripted flight test data. However, various problems arise when using scripted flight test data as "truth" measurements upon which RR code accuracy is based. During scripted flight tests, maneuvers may be imprecisely flown or data may be perturbed by environmental disturbances. An alternative to scripted flight test data lies in simulated, or "synthetic" flight data produced from a flight simulation model. In this case, a maneuver script is flown in simulation and the model outputs are used to build a simulated Health and Usage Monitoring System (HUMS) dataset. An algorithm is needed to generate control inputs in a similar manner to a human pilot so that a maneuver sequence can be flown correctly in simulation. This paper presents a so-called virtual pilot algorithm that generates simulated control inputs for a given maneuver sequence. The virtual pilot receives a maneuver script as input, and streams control inputs to the flight simulator to perform the required maneuvers in an accurate and reliable manner. The virtual pilot proposed here is formulated as a variable structure controller where each maneuver is mapped to a single feedback control law. By switching between feedback laws, different maneuver regimes are flown. A smoothing technique called setpoint tracking bumpless transfer is used to smooth control transitions. Example results show that the virtual pilot can generate realistic synthetic HUMS data for a variety of maneuver sequences. Virtual pilot fidelity is demonstrated through both conformance to the ADS-33 standards for selected Mission Task Elements and comparison to actual HUMS data.
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"Setpoint tracking predictive control by system identification approach." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.782795.

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Lorenzetti, Joseph, Benoit Landry, Sumeet Singh, and Marco Pavone. "Reduced Order Model Predictive Control For Setpoint Tracking." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8796005.

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Chida, Y., and R. Hara. "Setpoint Tracking Control With Discrete Actuators Using Controller Switching." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8956.

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In the present paper, we discuss a setpoint tracking control problem for a plant with discrete actuators. When a conventional linear servo controller is applied to the plant, undesirable periodic vibrations similar to the limit cycle occasionally occur in the output response caused by synergy with the integration of the steady-state tracking errors and the quantized errors of the control inputs. To prevent an undesirable response, a novel control method is proposed, in which the controller switches the control structure based on the value of the Lyapunov function. The effectiveness of the proposed method was verified through numerical simulations.
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Chinvorarat, S., and M. P. Schoen. "Disturbance rejection in setpoint tracking adaptive predictive controller design." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1024559.

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Horvathova, Michaela, Nijihiko Ishihara, Juraj Oravec, and Yuichi Chida. "Robust Setpoint Tracking of a Linear System with Discrete Actuators." In 2021 23rd International Conference on Process Control (PC). IEEE, 2021. http://dx.doi.org/10.1109/pc52310.2021.9447482.

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Reports on the topic "Setpoint tracking"

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Linker, Raphael, Murat Kacira, Avraham Arbel, Gene Giacomelli, and Chieri Kubota. Enhanced Climate Control of Semi-arid and Arid Greenhouses Equipped with Fogging Systems. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7593383.bard.

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The main objectives were (1) to develop, implement and validate control procedures that would make it possible to maintain year-round air temperature and humidity at levels suitable for crop cultivation in greenhouses operating in arid and semi-arid regions and (2) to investigate the influence of the operational flexibility of the fogging system on the performance of the system. With respect to the development of climate controllers, we developed a new control approach according to which ventilation is used to maintain the enthalpy of the greenhouse air and fogging is used to adjust the humidity ratio inside the greenhouse. This approach is suitable mostly for greenhouses equipped with mechanized ventilation, and in which the air exchange rate can be controlled with enough confidence. The development and initial validation of the controllers were performed in a small experimental greenhouses located at the Agricultural Research Organization and very good tracking were obtained for both air temperature and relative humidity (maximum mean deviations over a 10-min period with constant setpoints lower than 2.5oC and 5% relative humidity). The robust design approach used to develop the controllers made it possible to transfer successfully these controllers to a much larger semi-commercial greenhouse located in the much drier Arava region. After only minimal adjustments, which did not require lengthy dedicated experiments, satisfactory tracking of the temperature and humidity was achieved, with standard deviation of the tracking error lower than 1oC and 5% for temperature and relative humidity, respectively. These results should help promote the acceptance of modern techniques for designing greenhouse climate controllers, especially since given the large variety of greenhouse structures (shape, size, crop system), developing high performance site-specific controllers for each greenhouse is not feasible. In parallel to this work, a new cooling control strategy, which considers the contribution of humidification and cooling from the crop, was developed for greenhouses equipped with natural ventilation. Prior to the development of the cooling strategy itself, three evapotranspiration models were compared in terms of accuracy and reliability. The cooling strategy that has been developed controls the amount of fog introduced into the greenhouse as well as the percentage of vent openings based on the desired vapor pressure deficit (VPD) and enthalpy, respectively. Numerical simulations were used to compare the performance of the new strategy with a constant fogging rate strategy based on VPD, and on average, the new strategy saved 36% water and consumed 30% less electric energy. In addition, smaller air temperature and relative humidity fluctuations were achieved when using the new strategy. Finally, it was demonstrated that dynamically varying the fog rate and properly selecting the number of nozzles, yields additional water and electricity savings.
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