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Journal articles on the topic 'Integral feedback'

Author: Grafiati

Published: 14 March 2023

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1

Liu, Baishun. "Output Feedback Nonlinear General Integral Control." International Journal of Modern Nonlinear Theory and Application 04, no. 02 (2015): 101–16. http://dx.doi.org/10.4236/ijmnta.2015.42007.

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2

Cuba Samaniego, Christian, and Elisa Franco. "Ultrasensitive molecular controllers for quasi-integral feedback." Cell Systems 12, no. 3 (March 2021): 272–88. http://dx.doi.org/10.1016/j.cels.2021.01.001.

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3

Liu, Baishun, Jianhui Li, and Xiangqian Luo. "General Integral Control Design via Feedback Linearization." Intelligent Control and Automation 05, no. 01 (2014): 19–23. http://dx.doi.org/10.4236/ica.2014.51003.

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4

Ye, Zhen, Qing-Guo Wang, Chong Lin, Chang Chieh Hang, and Andrey E. Barabanov. "Relay Feedback Analysis for Double Integral Plants." Journal of Control Science and Engineering 2011 (2011): 1–5. http://dx.doi.org/10.1155/2011/671703.

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Double integral plants under relay feedback are studied. Complete results on the uniqueness of solutions, existence, and stability of the limit cycles are established using the point transformation method. Analytical expressions are also given for determining the amplitude and period of a limit cycle from the plant parameters.

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5

Løvaas, Christian, María M. Seron, and Graham C. Goodwin. "Robust Output-Feedback MPC With Integral Action." IEEE Transactions on Automatic Control 55, no. 7 (July 2010): 1531–43. http://dx.doi.org/10.1109/tac.2010.2042344.

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6

Al-Assadi, S., and L. Al-Chalabi. "Optimal gain for proportional-integral-derivative feedback." IEEE Control Systems Magazine 7, no. 6 (December 1987): 16–19. http://dx.doi.org/10.1109/mcs.1987.1105387.

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7

Puebla, Hector, and Jose Alvarez-Ramirez. "Proportional–integral feedback demodulation for secure communications." Physics Letters A 276, no. 5-6 (November 2000): 245–56. http://dx.doi.org/10.1016/s0375-9601(00)00662-9.

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8

Schartel, Scott A. "Giving feedback – An integral part of education." Best Practice & Research Clinical Anaesthesiology 26, no. 1 (March 2012): 77–87. http://dx.doi.org/10.1016/j.bpa.2012.02.003.

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9

Chowdhury, A., and D. Debnath. "Performance Comparison between PID Controller and State-Feedback Controller with Integral Action in Position Control of DC Motor." Applied Mechanics and Materials 367 (August 2013): 188–93. http://dx.doi.org/10.4028/www.scientific.net/amm.367.188.

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This paper presents the design of PID controller and State-Feedback controller with integral action to control the position of DC motor.PID controller is tuned using Ziegler-Nichol’s rules. State-Feedback controller is designed by determining the state feedback gain matrix using Ackermann’s formula. The aim of this paper is to compare the time domain characteristics of system response between PID controller and State feedback Controller with integral action. The Simulation results are demonstrated using MATLAB.Graphical User Interface (GUI) is developed for both the controllers. According to the Simulation result, State-Feedback controller with integral action has the better performance in terms of peak overshoot and settling time as compared to PID controller.

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10

Lu, Yu-Sheng, and Yue-Chi Lee. "Generalized Clegg integrator for integral feedback control systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 227, no. 6 (June 17, 2013): 556–60. http://dx.doi.org/10.1177/0959651813490102.

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11

Pritchard, A. J., and Yuncheng You. "Causal Feedback Optimal Control for Volterra Integral Equations." SIAM Journal on Control and Optimization 34, no. 6 (November 1996): 1874–90. http://dx.doi.org/10.1137/s0363012994275944.

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12

Teo, Yik R., and Andrew J. Fleming. "Optimal integral force feedback for active vibration control." Journal of Sound and Vibration 356 (November 2015): 20–33. http://dx.doi.org/10.1016/j.jsv.2015.06.046.

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13

Zhao, G., A. Paknejad, A. Deraemaeker, and C. Collette. "ℋ∞ optimization of an integral force feedback controller." Journal of Vibration and Control 25, no. 17 (June 2, 2019): 2330–39. http://dx.doi.org/10.1177/1077546319853165.

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This paper studies the performance of the classical integral force feedback (IFF) controller for suppressing the forced response of a single degree of freedom (SDOF) system. An ℋ∞ optimization criterion is used to derive the optimal feedback gain of the IFF controller contributed as a complement for the state of the art. This optimal gain is calculated in the closed-form based on a SDOF system which is then applied to a two degrees of freedom system to study its adaptability. It is found that the ℋ∞ optimal gain can be easily transposed into multi-degrees of freedom applications without introducing too many errors. An equivalent mechanical model is also developed to enable a straightforward interpretation of the physics behind the IFF controller.

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14

Kiendl, H., and T. Scheel. ""Integral Lyapunov Functions" Based on Incomplete State Feedback." IFAC Proceedings Volumes 24, no. 8 (September 1991): 311–15. http://dx.doi.org/10.1016/s1474-6670(17)54188-9.

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15

Lee, Young Sup. "Effect of Integral Feedback Control Forbeam Tip Pointing." Advanced Materials Research 717 (July 2013): 541–45. http://dx.doi.org/10.4028/www.scientific.net/amr.717.541.

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This paper presents the effect of an integral feedback controller for minimizing the pointing error at the tip of a very flexible and slender cantilever beam to follow a command signal. A piezoeletric PZT actuator patch isbonded on near the clamped end of the cantilever beam. Also it is considered that a position sensor is located near the tip of the beam but it is not attached on the beam. The beam is designed to be lightly damped and its step response withoutcontrol is quite long. But because of the non-collocation of the sensor and actuator, the plant response is non-minimum phase. After an intensive computer simulation, it is noted that the integral controller can reduce the settling time with proper stability and control gains. Also an analysis and comparison of the integral controller with a proportional-integral controller for the pointing error minimization of the very flexible and slender beam is described in detail.

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16

Somvanshi, Pramod R., Anilkumar K. Patel, Sharad Bhartiya, and K. V. Venkatesh. "Implementation of integral feedback control in biological systems." Wiley Interdisciplinary Reviews: Systems Biology and Medicine 7, no. 5 (June 2, 2015): 301–16. http://dx.doi.org/10.1002/wsbm.1307.

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17

Stirling, Julian. "Control theory for scanning probe microscopy revisited." Beilstein Journal of Nanotechnology 5 (March 21, 2014): 337–45. http://dx.doi.org/10.3762/bjnano.5.38.

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We derive a theoretical model for studying SPM feedback in the context of control theory. Previous models presented in the literature that apply standard models for proportional-integral-derivative controllers predict a highly unstable feedback environment. This model uses features specific to the SPM implementation of the proportional-integral controller to give realistic feedback behaviour. As such the stability of SPM feedback for a wide range of feedback gains can be understood. Further consideration of mechanical responses of the SPM system gives insight into the causes of exciting mechanical resonances of the scanner during feedback operation.

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18

Ayas, Mustafa S., Erdinc Sahin, and Ismail H. Altas. "High order differential feedback controller design and implementation for a Stewart platform." Journal of Vibration and Control 26, no. 11-12 (December 9, 2019): 976–88. http://dx.doi.org/10.1177/1077546319890779.

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Stewart platform or other parallel manipulators with a Stewart structure are commonly used in flight simulators, surgical operations, medical rehabilitation processes, machine tools, industrial applications, etc. Therefore, researchers have paid attention to position control of these manipulators in addition to their design and development process. In this study, a developed Stewart platform and its inverse kinematic analysis are presented first. Then, a model-free control scheme called a high order differential feedback controller scheme is designed for the Stewart platform in order to improve its trajectory tracking performance and robustness against to different reference trajectories. Real-time trajectory tracking experiments with varied reference trajectories are carried out to show the robustness and effectiveness of the high order differential feedback controller scheme compared to the traditional proportional–integral–derivative controller of which the parameters are optimally tuned. The obtained visual trajectory tracking results and numerical performance results based on error-based performance measurement metrics such as integral of absolute error, integral of squared error, and integral of time-weighted absolute error are provided for both the proposed high order differential feedback controller scheme and the optimal tuned proportional–integral–derivative controller. Experimental results show that the proposed high order differential feedback controller scheme is more robust than the proportional–integral–derivative controller. Furthermore, the high order differential feedback controller scheme has superiority in both transient and steady-state responses and even the parameters of the proportional–integral–derivative controller are optimally tuned.

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19

KEATS, J. BERT, DOUGLAS C. MONTGOMERY, GEORGE C. RUNGER, and WILLIAM S. MESSINA. "FEEDBACK CONTROL AND STATISTICAL PROCESS MONITORING." International Journal of Reliability, Quality and Safety Engineering 03, no. 03 (September 1996): 231–41. http://dx.doi.org/10.1142/s0218539396000168.

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In the industrial world, different methodologies have been applied to reduce variability. Engineers whose training is in the quality assurance sciences have frequently used statistical process control (SPC) whereas engineers whose background includes control theory have employed engineering process control (EPC), often in the form of feedback control. SPC is usually applied to processes that vary about a fixed mean, with successive observations viewed as statistically independent. EPC is usually applied to processes in which successive observations are related over time, and where the mean drifts dynamically. The objective of SPC is to reduce variability by the elimination of assignable causes that shift the mean off-target, while EPC continuously adjusts manipulatable variables in the process to keep the mean on target. This study demonstrates the effectiveness of integrating SPC with feedback control for three commonly encountered schemes: Integral Control, Proportional-Integral Control, and Proportional-Integral-Differential Control. A simulation study demonstrates that the combined EPC/SPC scheme significantly reduces overall variability in comparison to feedback control alone when assignable causes are present.

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20

Choi, Chiu. "Integral Control and Anti-Windup Experiments." International Journal of Engineering Pedagogy (iJEP) 9, no. 1 (February 22, 2019): 113. http://dx.doi.org/10.3991/ijep.v9i1.10056.

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Integral control is one of the methods for reducing steady-state error in a feedback control system. This method is frequently used in manufacturing and industrial control processes. It is an important topic in the control engineering curriculum. In this paper, we describe a laboratory station developed for the investigation of integral control. Microcontrollers were used for the implementation of the integral controllers. Five experiments were developed for that laboratory station. These experiments emphasized on the understanding of integral control, elucidating the integrator windup problems, and introducing methods for overcoming such problems. These experiments offer hands-on experience to students and will increase their insights into integral control and anti-windup methods. These experiments can be readily incorporated into laboratory courses on feedback control systems or microcontroller applications.

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21

Meng, Fanwei, Aiping Pang, Xuefei Dong, Chang Han, and Xiaopeng Sha. "H∞ Optimal Performance Design of an Unstable Plant under Bode Integral Constraint." Complexity 2018 (August 9, 2018): 1–10. http://dx.doi.org/10.1155/2018/4942906.

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This paper proposed the H∞ state feedback and H∞ output feedback design methods for unstable plants, which improved the original H∞ state feedback and H∞ output feedback. For the H∞ state feedback design of unstable plants, it presents the complete robustness constraint which is based on solving Riccati equation and Bode integral. For the H∞ output feedback design of unstable plants, the medium-frequency band should be considered in particular. Besides, this paper presents the method to select weight function or coefficients in the H∞ design, which employs Bode integral to optimize the H∞ design. It takes a magnetic levitation system as an example. The simulation results demonstrate that the optimal performance of perturbation suppression is obtained with the design of robustness constraint. The presented method is of benefit to the general H∞ design.

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22

Dehaeze, Thomas, and Christophe Collette. "Active damping of rotating platforms using integral force feedback." Engineering Research Express 3, no. 1 (March 1, 2021): 015036. http://dx.doi.org/10.1088/2631-8695/abe803.

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23

Casper, Sabrina, Doris H. Fuertinger, Leticia M. Tapia Silva, Lemuel Rivera Fuentes, Stephan Thijssen, and Peter Kotanko. "Proportional integral feedback control of ultrafiltration rate in hemodialysis." International Journal of Artificial Organs 45, no. 3 (January 25, 2022): 271–77. http://dx.doi.org/10.1177/03913988211069395.

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Background: Most hemodialysis patients without residual kidney function accumulate fluid between dialysis session that needs to be removed by ultrafiltration. Ultrafiltration usually results in a decline in relative blood volume (RBV). Recent epidemiological research has identified RBV ranges that were associated with significantly better survival. The objective of this work was to develop an ultrafiltration controller to steer a patient’s RBV trajectory into these favorable RBV ranges. Methods: We designed a proportional-integral feedback ultrafiltration controller that utilizes signals from a device that reports RBV. The control goal is to attain the RBV trajectory associated with improved patient survival. Additional constraints such as upper and lower bounds of ultrafiltration volume and rate were realized. The controller was evaluated in in silico and ex vivo bench experiments, and in a clinical proof-of-concept study in two maintenance dialysis patients. Results: In all tests, the ultrafiltration controller performed as expected. In the in silico and ex vivo bench experiments, the controller showed robust reaction toward deliberate disruptive interventions (e.g. signal noise; extreme plasma refill rates). No adverse events were observed in the clinical study. Conclusions: The ultrafiltration controller can steer RBV trajectories toward desired RBV ranges while obeying to a set of constraints. Prospective studies in hemodialysis patients with diverse clinical characteristics are warranted to further explore the controllers impact on intradialytic hemodynamic stability, quality of life, and long-term outcomes.

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24

Li, HongBo, FuChun Sun, ZengQi Sun, and Junping Du. "Optimal State Feedback Integral Control Using Network-Based Measurements." IEEE Transactions on Instrumentation and Measurement 61, no. 12 (December 2012): 3127–35. http://dx.doi.org/10.1109/tim.2012.2205101.

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25

Liu, Liang Yih, and Hsiung Cheng Lin. "Achieving Passive Integral Control Using Feedback and Output Redefinition." Applied Mechanics and Materials 284-287 (January 2013): 2199–204. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2199.

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There exist an infinite number of right-half plane zeros in the transfer function relating the joint torque input to the tip contact force output for a constrained single-link flexible arm. Since the non-minimum phase nature is the cause of instability or stability but caused the smaller control bandwidth. In order to overcome the inherent limitations caused by the non-minimum phase nature, a new input induced by the measurement of joint angular acceleration and a output generated using the measurements of contact force and root shear force are defined. A necessary and sufficient condition is derived such that all poles and zeros of the new transfer function lie on the imaginary axis. The passive integral control is designed to accomplish the regulation of the contact force. The excellent performance of the passive integral controller is verified through numerical simulations.

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26

Orszulik, Ryan R., and Jinjun Shan. "Output feedback integral control of piezoelectric actuators considering hysteresis." Precision Engineering 47 (January 2017): 90–96. http://dx.doi.org/10.1016/j.precisioneng.2016.07.009.

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27

Loh, Ai P., Chang C. Hang, Choon K. Quek, and Vinod U. Vasnani. "Autotuning of multiloop proportional-integral controllers using relay feedback." Industrial & Engineering Chemistry Research 32, no. 6 (June 1993): 1102–7. http://dx.doi.org/10.1021/ie00018a017.

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28

Schnell, B., P. T. Weir, E. Roth, A. L. Fairhall, and M. H. Dickinson. "Cellular mechanisms for integral feedback in visually guided behavior." Proceedings of the National Academy of Sciences 111, no. 15 (March 31, 2014): 5700–5705. http://dx.doi.org/10.1073/pnas.1400698111.

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29

UENISHI, Nobuhito, and Tomoaki KOBAYASHI. "Integral Sliding Mode Observer Design for Strict Feedback Systems." Proceedings of Mechanical Engineering Congress, Japan 2018 (2018): G1000201. http://dx.doi.org/10.1299/jsmemecj.2018.g1000201.

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30

Høgsberg, Jan, and Mark L. Brodersen. "Hybrid viscous damper with filtered integral force feedback control." Journal of Vibration and Control 22, no. 6 (August 4, 2014): 1645–56. http://dx.doi.org/10.1177/1077546314543912.

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31

Becker, Nils B., Matthias Günther, Congxin Li, Adrien Jolly, and Thomas Höfer. "Stem cell homeostasis by integral feedback through the niche." Journal of Theoretical Biology 481 (November 2019): 100–109. http://dx.doi.org/10.1016/j.jtbi.2018.12.029.

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32

Kuhnen, K., M. Schommer, and H. Janocha. "Integral feedback control of a self-sensing magnetostrictive actuator." Smart Materials and Structures 16, no. 4 (June 25, 2007): 1098–108. http://dx.doi.org/10.1088/0964-1726/16/4/019.

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33

One Lai, Nai, Christopher Edwards, and Sarah K. Spurgeon. "Discrete output feedback sliding-mode control with integral action." International Journal of Robust and Nonlinear Control 16, no. 1 (2005): 21–43. http://dx.doi.org/10.1002/rnc.1034.

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34

EL-SAMAD, H., J. P. GOFF, and M. KHAMMASH. "Calcium Homeostasis and Parturient Hypocalcemia: An Integral Feedback Perspective." Journal of Theoretical Biology 214, no. 1 (January 2002): 17–29. http://dx.doi.org/10.1006/jtbi.2001.2422.

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35

Xie, Pengshu, Yusong Che, Zhengbin Liu, and Guoqiang Wang. "Research on Vibration Reduction Performance of Electromagnetic Active Seat Suspension Based on Sliding Mode Control." Sensors 22, no. 15 (August 8, 2022): 5916. http://dx.doi.org/10.3390/s22155916.

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Vehicle seats have a significant impact on the comfort of passengers. The development of seats is a field in which scholars are widely concerned. In this study, we add an electromagnetic levitation structure and design a new active seat suspension based on the passive seat suspension. Then, simulation research is carried out based on a C-level road surface combined with integral sliding mode control and state feedback control. The results show that both state feedback control and integral sliding mode control positively affect vehicle seat vibration reduction, and integral sliding mode control has a better anti-interference effect than state feedback control. At the same time, it is proved that the seat suspension has good working characteristics and economy.

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36

Gaiceanu, Marian. "Solution for Connecting Regenerative Electric Drive Systems to the Grid." Advanced Materials Research 875-877 (February 2014): 1003–8. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1003.

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In this paper the topology of the grid-connected regenerative electric drive systems (REDS) and the performances of the integral state feedback current controller of the front-end three-phase power inverter are presented. The proposed control was successfully implemented by the author on a quasi direct AC-AC converter with Proportional-Integral current controllers and the simulation test has been performed for the modified integral state feedback current controllers based on the Matlab/Simulink software. The comparative results between the actual current controller topology and that of the conventional PI current controllers of the AC-AC power converter are reported. Moreover, the solution presented in this paper adds supplementary benefits to power system besides the conventional state feedback control: the designed input filter assures zero steady state error and an adequate component is added for the dynamic rejection of the load disturbance. Because it uses the integral component, the control structure has robust capabilities to disturbance actions.

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37

Yue, Guangzhao, Tao Qiu, Hefei Dai, Yan Lei, and Ning Zhao. "Rail pressure control strategy based on pumping characteristics for the common rail fuel system." Advances in Mechanical Engineering 10, no. 9 (September 2018): 168781401879559. http://dx.doi.org/10.1177/1687814018795591.

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The control of rail pressure is quite important in the common rail fuel system. Generally, the rail pressure control strategy is a combination of feedforward control and proportional–integral–derivative feedback control. A lumped parameter model of the common rail fuel system is built. Theoretically, the three main factors that affect the rail pressure are engine speed, rail pressure, and fuel injection. With these factors as the control parameters, the feedforward control logic is established. Then, with the basic fuel amount as the proportional–integral–derivative control parameter, the feedback control strategy is improved. The feedforward control is used to determine the basic fuel amount; the proportional–integral–derivative feedback control is used to fine-tune the basic fuel amount based on the deviation of target rail pressure and real rail pressure. Compared with only proportional–integral–derivative feedback control, the computation load of feedback control is reduced and the response speed is increased. In addition, experiments based on a common rail fuel system test rig are completed. The results show that the fuel efficiency of common rail fuel pump decreases with pump speed, and rail pressure increases. The steady-state rail pressure fluctuations are effectively reduced and the dynamic control precision of the common rail fuel system increases when the optimized control method is adopted.

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38

Hao, Lina, Jinhai Gao, and Hongpeng Che. "Feed-forward frictional-order proportional–integral–derivative-based feedback control of a piezoactuated microposition stage using an extended unparallel Prandtl–Ishlinskii hysteresis compensator." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 8 (August 7, 2018): 2867–78. http://dx.doi.org/10.1177/0954406218792598.

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In the recent past, it has been observed that flexure-based microposition stages with a large workspace and high motion precision are gaining popularity for performing practical micromanipulation tasks. Thus, a piezoactuated flexible two-degrees-of-freedom micromanipulator integrated with a pair of displacement amplifiers is developed. To enhance the practical positioning performance of the micromanipulator, this paper proposes a feed-forward frictional-order proportional–integral–derivative based feedback control approach to eliminate the undesired resonant mode of a piezoactuated microposition stage to satisfy the accuracy of the system. The control approach is composed of the integration inverse feed-forward compensator, the feedback controller, and the frictional-order proportional–integral–derivative controller. The integration inverse feed-forward compensator with an extended unparallel Prandtl–Ishlinskii model is introduced for addressing the nonlinearity of the piezoactuated microposition stage, leading to an approximately linear system. When all the roots of the system characteristic equation are negative real numbers or have negative real parts, the feedback controller is guaranteed to have tracking stability. Next, a frictional-order proportional–integral–derivative controller is designed to enhance the tracking performance of the microposition stage. Finally, comparative experiments with the conventional proportional–integral–derivative controller are performed, revealing that the practical positioning performance has been increased by nearly 35%. The experimental results demonstrate that the performance with the frictional-order proportional–integral–derivative+feedback controller is improved significantly.

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39

Iqbal, Kamran, and Anindo Roy. "Stabilizing PID Controllers for a Single-Link Biomechanical Model with Position, Velocity, and Force Feedback." Journal of Biomechanical Engineering 126, no. 6 (December 1, 2004): 838–43. http://dx.doi.org/10.1115/1.1824134.

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In this paper we address the problem of PID stabilization of a single-link inverted pendulum-based biomechanical model with force feedback, two levels of position and velocity feedback, and with delays in all the feedback loops. The novelty of the proposed model lies in its physiological relevance, whereby both small and medium latency sensory feedbacks from muscle spindle (MS), and force feedback from Golgi tendon organ (GTO) are included in the formulation. The biomechanical model also includes active and passive viscoelastic feedback from Hill-type muscle model and a second-order low-pass function for muscle activation. The central nervous system (CNS) regulation of postural movement is represented by a proportional-integral-derivative (PID) controller. Pade´ approximation of delay terms is employed to arrive at an overall rational transfer function of the biomechanical model. The Hermite–Biehler theorem is then used to derive stability results, leading to the existence of stabilizing PID controllers. An algorithm for selection of stabilizing feedback gains is developed using the linear matrix inequality (LMI) approach.

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40

Pradhan, Jatin Kumar, Arun Ghosh, and Chandrashekhar Narayan Bhende. "Two-degree-of-freedom multi-input multi-output proportional–integral–derivative control design: Application to quadruple-tank system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 3 (August 16, 2018): 303–19. http://dx.doi.org/10.1177/0959651818791687.

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This article is concerned with designing a 2-degree-of-freedom multi-input multi-output proportional–integral–derivative controller to ensure linear quadratic regulator performance and H∞ performance using a non-iterative linear matrix inequality–based method. To design the controller, first, a relation between the state feedback gain and proportional–integral–derivative gain is obtained. As the gains of proportional–integral–derivative controller cannot, in general, be found out from this relation for arbitrary stabilizing state feedback gain, a suitable form of the matrices involved in linear matrix inequality–based state feedback design is then chosen to obtain the proportional–integral–derivative gains directly. The special structure of the above matrices allows one to design proportional–integral–derivative controller in non-iterative manner. As a result, multi-objective performances, such as linear quadratic regulator and H∞, can be achieved simultaneously without increasing the computational burden much. To enhance the reference-input-to-output characteristics, a feedforward gain is also introduced and designed to minimize certain closed-loop H∞ performance. The proposed control design method is applied for multi-input multi-output proportional–integral compensation of a laboratory-based quadruple-tank process. The performance of the compensation is studied through extensive simulations and experiments.

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41

Papalexandris, Miltiadis V. "Feedback Control of Thermal Systems Modeled via the Network Approach." Journal of Dynamic Systems, Measurement, and Control 126, no. 3 (September 1, 2004): 509–19. http://dx.doi.org/10.1115/1.1789537.

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This article reports on feedback control algorithms for thermal systems modeled via the network approach. These networks belong to the class of descriptor systems. They are subject to nondecaying disturbances and, therefore, integral action is required for zero offset. The article includes the derivation of optimal integral controllers for general linear descriptor systems and a detailed study on decentralized control for thermal networks. Feasibility of decentralized control is established via two theorems regarding stability and decentralized integral controllability of thermal networks. Additionally, a particular strategy for the synthesis of decentralized controllers is proposed. This article concludes with a sample of the numerical tests that we performed to demonstrate the efficiency of the proposed algorithms.

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42

AlSereihy, Maher H., Ibrahim M. Mehedi, Ubaid M. Al-saggaf, Khalid Munawar, Rachid Mansouri, and Maamar Bettayeb. "Fractional data-driven control for a rotary flexible joint system." International Journal of Advanced Robotic Systems 18, no. 2 (March 1, 2021): 172988142199858. http://dx.doi.org/10.1177/1729881421998580.

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As one of the most promising topics in complex control processes, data-driven techniques have been widely used in numerous industrial sectors and have developed over the past two decades. In addition, the fractional-order controller has become more attractive in applied studies. In this article, a fractional integral control is implemented for a rotary flexible joint system. Moreover, an adjusted virtual reference feedback tuning (VRFT) technique is used to tune the fractional-order integrator. In this method, fractional integral control is designed based on state feedback control. Then, VRFT is adjusted and applied to the fractional integral controller. The effectiveness of the proposed adjusted VRFT method is discussed and presented through simulation and experimental results. The tracking performance of the rotary arm and the minimization of the vibration tip is evaluated based on the proposed method. In this article, the comparison of our proposed VRFT fractional scheme is made with the classical state feedback as well as a recently developed state feedback-based fractional order integral (SF-FOI) controller. The current investigations determine the performance improvement of our proposed scheme of comparable structure to the recent SF-FOI, with the introduction of the VRFT to the SF-FOI scheme.

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Choi, Han-Ho. "LMI-based Design of Output Feedback Integral Sliding Mode Controllers." Transactions of The Korean Institute of Electrical Engineers 60, no. 1 (January 1, 2011): 138–41. http://dx.doi.org/10.5370/kiee.2011.60.1.138.

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Hajji, Soufien, Assil Ayadi, Youssef Agerbi Zorgani, Tarak Maatoug, Mondher Farza, and Mohamed M’Saad. "Integral backstepping-based output feedback controller for the induction motor." Transactions of the Institute of Measurement and Control 41, no. 16 (August 12, 2019): 4599–612. http://dx.doi.org/10.1177/0142331219864188.

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This paper addresses the control of induction motor (IM) drives. In this work, we propose a new consideration of backstepping control. However, this control provides a systematic method to carry out the controller design while guaranteeing the stability of the controller-process couple. Furthermore, the incorporation of an integral action in the synthesis of the control system with state feedback presents a robust rejection of echelon-level disturbances. A detailed analytic study and simulation results are given showing the operation of the IM drives control. The results prove the accuracy and robustness of the proposed control scheme. Also, comparison results with another study dealing with control prove that the proposed method shows excellent transient and steady-state speed and a great estimation of flux and load torque.

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Giovanini, L. "Predictive feedback control: An alternative to proportional-integral-derivative control." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 223, no. 7 (July 24, 2009): 901–17. http://dx.doi.org/10.1243/09596518jsce790.

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Even though employed widely in industrial practice, the popular proportional-integral-derivative (PID) controller has weaknesses that limit its achievable performance. In this paper, an alternative control scheme that combines the simplicity of the PID controller with the versatility of model predictive control is presented. The result is a controller that combines the time-delay compensation capability of predictive control algorithms, the effectiveness of inferential control schemes for disturbance rejection, and the adaptation capabilities of switching controllers. The robust stability and performance of the controller are analysed. These results are then used to generate two tuning procedures. The design, implementation, and performance of the controller are illustrated via simulations on linear and non-linear systems.

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Gugat, Martin. "Exponential Stabilization of the Wave Equation by Dirichlet Integral Feedback." SIAM Journal on Control and Optimization 53, no. 1 (January 2015): 526–46. http://dx.doi.org/10.1137/140977023.

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Aoki, Stephanie K., Gabriele Lillacci, Ankit Gupta, Armin Baumschlager, David Schweingruber, and Mustafa Khammash. "A universal biomolecular integral feedback controller for robust perfect adaptation." Nature 570, no. 7762 (June 2019): 533–37. http://dx.doi.org/10.1038/s41586-019-1321-1.

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CASTILLO, ENRIQUE DEL. "A variance-constrained proportional-integral feedback controller that tunes itself." IIE Transactions 32, no. 6 (June 2000): 479–91. http://dx.doi.org/10.1080/07408170008963925.

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Liu, Fei, Hong-Cheng Xie, and Zhi-Yue Lu. "Generalized Integral Fluctuation Relation with Feedback Control for Diffusion Processes." Communications in Theoretical Physics 62, no. 4 (October 2014): 571–78. http://dx.doi.org/10.1088/0253-6102/62/4/14.

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Woodyatt, A. R., J. S. Freudenberg, and R. H. Middleton. "An integral constraint for single input two output feedback systems." Automatica 37, no. 11 (November 2001): 1717–26. http://dx.doi.org/10.1016/s0005-1098(01)00142-x.

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