Готові списки джерел за темами / Closed loop delay compensation

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Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Closed loop delay compensation"

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Qi, Kai, and J. S. Kuang. "Time delay compensation in active closed-loop structural control." Mechanics Research Communications 22, no. 2 (March 1995): 129–35. http://dx.doi.org/10.1016/0093-6413(95)00005-4.

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Molina-Cabrera, Alexander, Mario A. Ríos, Yvon Besanger, Nouredine Hadjsaid, and Oscar Danilo Montoya. "Latencies in Power Systems: A Database-Based Time-Delay Compensation for Memory Controllers." Electronics 10, no. 2 (January 18, 2021): 208. http://dx.doi.org/10.3390/electronics10020208.

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Time-delay is inherent to communications schemes in power systems, and in a closed loop strategy the presence of latencies increases inter-area oscillations and security problems in tie-lines. Recently, Wide Area Measurement Systems (WAMS) have been introduced to improve observability and overcome slow-rate communications from traditional Supervisory Control and Data Acquisition (SCADA). However, there is a need for tackling time-delays in control strategies based in WAMS. For this purpose, this paper proposes an Enhanced Time Delay Compensator (ETDC) approach which manages varying time delays introducing the perspective of network latency instead dead time; also, ETDC takes advantage of real signals and measurements transmission procedure in WAMS building a closed-loop memory control for power systems. The strength of the proposal was tested satisfactorily in a widely studied benchmark model in which inter-area oscillations were excited properly.
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Liu, Muyang, Ioannis Dassios, Georgios Tzounas, and Federico Milano. "Model-Independent Derivative Control Delay Compensation Methods for Power Systems." Energies 13, no. 2 (January 10, 2020): 342. http://dx.doi.org/10.3390/en13020342.

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The paper examines the effectiveness of utilizing the derivatives of time delayed, wide-area signals in mitigating their destabilizing impact on power system dynamic response. In particular, the paper discusses two derivative control-based delay compensation methods, namely proportional-derivative (PD) and predictor-based delay compensation. The two methods are compared in terms of their open-loop signal fidelity and their impact on the closed-loop system stability. The paper also provides a technique to carry out small-signal stability analysis with inclusion of derivative control based compensation, which leads to a Neutral Time-Delay System (NTDS). In addition, we provide a new theorem on the stability of the NTDS. Finally, nonlinear time domain simulations and eigenvalue analysis based on the IEEE 14-bus and New England 39-bus systems were carried out for the sake of comparison of the two delay compensation methods.
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Reboldi, G. P., P. D. Home, G. Calabrese, P. G. Fabietti, P. Brunetti, and M. Massi Benedetti. "Time Delay Compensation for Closed-Loop Insulin Delivery Systems: A Simulation Study." International Journal of Artificial Organs 14, no. 6 (June 1991): 350–58. http://dx.doi.org/10.1177/039139889101400606.

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Zheng, Yingshi, Mark J. Brudnak, Paramsothy Jayakumar, Jeffrey L. Stein, and Tulga Ersal. "A Predictor-Based Framework for Delay Compensation in Networked Closed-Loop Systems." IEEE/ASME Transactions on Mechatronics 23, no. 5 (October 2018): 2482–93. http://dx.doi.org/10.1109/tmech.2018.2864722.

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Ellis, Matthew, and Panagiotis D. Christofides. "Economic model predictive control of nonlinear time-delay systems: Closed-loop stability and delay compensation." AIChE Journal 61, no. 12 (August 3, 2015): 4152–65. http://dx.doi.org/10.1002/aic.14964.

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Liu, Zhang, and Zou. "Robust LFC Strategy for Wind Integrated Time-Delay Power System Using EID Compensation." Energies 12, no. 17 (August 21, 2019): 3223. http://dx.doi.org/10.3390/en12173223.

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This paper presents an active disturbance rejection control (ADRC) technique for load frequency control of a wind integrated power system when communication delays are considered. To improve the stability of frequency control, equivalent input disturbances (EID) compensation is used to eliminate the influence of the load variation. In wind integrated power systems, two area controllers are designed to guarantee the stability of the overall closed-loop system. First, a simplified frequency response model of the wind integrated time-delay power system was established. Then the state-space model of the closed-loop system was built by employing state observers. The system stability conditions and controller parameters can be solved by some linear matrix inequalities (LMIs) forms. Finally, the case studies were tested using MATLAB/SIMULINK software and the simulation results show its robustness and effectiveness to maintain power-system stability.
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Yoo, Sung Jin. "Adaptive State-Quantized Control of Uncertain Lower-Triangular Nonlinear Systems with Input Delay." Mathematics 9, no. 7 (April 1, 2021): 763. http://dx.doi.org/10.3390/math9070763.

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In this paper, we investigate the adaptive state-quantized control problem of uncertain lower-triangular systems with input delay. It is assumed that all state variables are quantized for the feedback control design. The error transformation method using an auxiliary time-varying signal is presented to deal with the compensation problem of input delay. Based on the error surfaces with the auxiliary variable, a neural-network-based adaptive state-quantized control scheme is constructed with the design of the input delay compensator. Different from existing results in the literature, the proposed method exhibits the following features: (i) compensating for the input delay effect by using quantized states; and (ii) establishing the stability of the adaptive quantized feedback control system in the presence of input delay. Furthermore, the boundedness of all the signals in the closed-loop and the convergence of the tracking error are analyzed. The effectiveness of the developed control strategy is demonstrated through the simulation on a hydraulic servo system.
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Song, Mingming, Hongmin Liu, Yanghuan Xu, Dongcheng Wang, and Yangyang Huang. "Decoupling Adaptive Smith Prediction Model of Flatness Closed-Loop Control and Its Application." Processes 8, no. 8 (July 26, 2020): 895. http://dx.doi.org/10.3390/pr8080895.

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Flatness control system is characterized by multi-parameters, strong coupling, pure time delay, which complicate the establishment of an accurate mathematical model. Therefore, a control scheme that combines dynamic decoupling, PI (Proportion and Integral) control and adaptive Smith predictive compensation is proposed. To this end, a dynamic matrix is used to decouple the control system. A multivariable coupled pure time-delay system is transformed into several independent generalized single-loop pure time-delay systems. Then, a PI-adaptive Smith predictive controller is constructed for the decoupled generalized single-loop pure time-delay system. Simulations show that the scheme has a simple and feasible structure, and good control performance. When the mathematical model of the control system is inaccurate, the control performance of adaptive Smith control method is evidently better than that of the ordinary Smith control method. The model is successfully applied to the cold rolling production site through LabVIEW, and the control accuracy is within 5I. This study reveals a new solution to the problem of coupled pure time-delay in flatness control system.
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Alnajdi, Aisha, Atharva Suryavanshi, Mohammed S. Alhajeri, Fahim Abdullah, and Panagiotis D. Christofides. "Machine learning-based predictive control of nonlinear time-delay systems: Closed-loop stability and input delay compensation." Digital Chemical Engineering 7 (June 2023): 100084. http://dx.doi.org/10.1016/j.dche.2023.100084.

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Дисертації з теми "Closed loop delay compensation"

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PEROTTI, MICHELE. "Software Solutions to Mitigate the Electromagnetic Emissions of Power Inverters." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2842505.

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Myklebust, Andreas. "Closed Loop System Identification of a Torsion System." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-17531.

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A model is developed for the Quanser torsion system available at Control Systems Research Laboratory at Chulalongkorn University. The torsion system is a laboratory equipment that is designed for the study of position control. It consists of a DC motor that drives three inertial loads that are coupled in series with the motor, and where all components are coupled to each other through torsional springs.

Several nonlinearities are observed and the most significant one is an offset in the input signal, which is compensated for. Experiments are carried out under feedback as the system is marginally stable. Different input signals are tested and used for system identification. Linear black-box state-space models are then identified using PEM, N4SID and a subspace method made for closed-loop identification, where the last two are the most successful ones. PEM is used in a second step and successfully enhances the parameter estimates from the other algorithms.

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Moon, Seung Ryul. "Hybrid PWM Update Method for Time Delay Compensation in Current Control Loop." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/84929.

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A novel hybrid pulse-width modulation (PWM) update method is proposed to eliminate the effect of the one-step control time delay Td one without losing the full duty cycle range. Without the Td one to cause linear phase shifts that limit the control bandwidth and affect closed-loop stability, a very high quality digital current control can be achieved, such as a high closed current loop bandwidth, strong robustness against disturbances, ability to reach a very high fundamental frequency compared to switching frequency, etc. In a conventional digital control implementation, a sampling period (Tsamp) is allocated for the execution of samplings and computations, and the update of PWM outputs is delayed until the beginning of the following sampling period. This delayed PWM update method is the cause of the Td one. Instead of the delayed PWM update, if the PWM outputs are updated immediately after algorithm computations, then the effect of the Td one can be eliminated; however, the computation time delay Td comp from the current sampling instant through algorithm computations to the PWM update instant causes a reduced duty cycle range. Each of these two conventional PWM update methods has some shortcomings. A hybrid PWM update method is proposed to circumvent the aforementioned shortcomings and to incorporate only the advantages. The proposed method improves the performance by updating the PWM outputs multiple times during a Tsamp, whereas the PWM outputs are updated only one time during a Tsamp in the conventional methods. In spite of the simplicity of the proposed method, the performance improvements in stability, robustness and response characteristics are significant. On the other hand, the proposed method can be easily applied to many PWM based digital controls because of its simplicity. Additional to the hybrid PWM update method, a hybrid control method is proposed to optimize the sequence of control operations. It maximizes the current loops' robustness and minimizes the delay from the sampling of outer control loops' variables, such as voltage and speed, to the duty cycle update instant. The minimum delay enables the maximization of the outer control loops' bandwidth. Additionally, a corrective neutral offset voltage injection method is proposed to correct small PWM output deviations that may occur with the hybrid PWM update method. Utilizing a three-phase voltage source inverter with a permanent magnet synchronous machine as the platform, a deadbeat current control and a high speed ac drive experiments have been conducted to demonstrate the feasibility and validity. Notable results include a closed current loop response of one Tsamp with the deadbeat control and a 500 Hz current fundamental frequency with 1 kHz switching frequency in the high speed ac drive.
Ph. D.
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Saarinen, I. (Ilkka). "Reverse link feedback power control in pilot symbol assisted systems." Doctoral thesis, University of Oulu, 2000. http://urn.fi/urn:isbn:9514257626.

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Abstract Reverse link feedback power control in subject to a feedback delay and in conjuction with diversity is considered over a frequency-nonselective slow Rayleigh fading channel. The transmission power of a mobile station is adjusted as a function of fed back estimated channel state information, so that the average error probability is minimized when the average transmission power is fixed. The channel state is estimated by using known, constant-power pilot symbols. In each frame, a time multiplexed pilot symbol is transmitted in addition to the antipodal data symbols. In the literature, feedback MMSE (minimum mean-square error) power control has been analyzed in the case of a random time-invariant channel. Therein the frame size was two, i.e. one data and one pilot symbol were transmitted in each frame. Also, the fading gain was estimated by a one-shot MMSE estimator. This author's main contribution is that the aforementioned analysis has been extended to a more general system model in which the frame size is arbitrary, and in which the time-variant fading gain is estimated by an optimal MMSE estimator. For power control purposes, the estimator has to be a predictor since feedback requires causality. First, in order to avoid a delay in detection, the predictor is used in both power control and detection. In the case of a frame size of two, the performance of feedback MMSE power control employing the predictor is compared to that of a system using the one-shot estimator. Then, the performance of feedback MMSE power control with an optimal frame size is evaluated. Finally, the system performance is derived when a smoother is employed in detection, and the additional effects of a feedback delay and diversity on the performance are investigated. The performance difference between optimal (channel states are assumed to be known) and MMSE power control using a one-shot estimator is found to be significant at large signal-to-noise ratios (SNR's). This is in contradiction with the result presented earlier in the literature. The reason for the large performance difference is that the SNR of the channel estimate is small, since each estimate is computed using only one pilot symbol. The performance difference between optimal and MMSE power control with the predictor is smaller than said difference in the case of the one-shot estimator because the estimate is averaged over many pilot symbols. It is also observed that the lag error of the estimator considerably reduces the benefit of MMSE power control, even when the channel changes very slowly. To diminish the lag error, and to achieve good performance, a large number of estimator coefficients is required. It is well known that fixed-step adjustment closed loop power control attempts to compensate for all changes caused by the channel. In contrast, according to Monte Carlo simulations, MMSE power control did not attempt to compensate for the deepest fades. At other time instants, it strives to set the received SNR to an approximately constant level, which depends on the bit-error rate (BER) target. Increasing the frame size from the value of two not only improves the spectrum utilization, but was also shown to yield better performance for the pilot symbol system with MMSE power control over a slowly fading channel. Also, a clear performance improvement was achieved by using the smoother in detection. The performance loss resulting from a feedback delay of 10-20 % from the channel coherence time was shown to be small with reasonable BER values. Estimation errors were shown to diminish the benefit of power control when the diversity order was two, compared to the case of no diversity.
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Cesaretti, Juan Manuel. "Mechanical stress and stress compensation in Hall sensors." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28202.

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Kichel, Caetano Bevilacqua. "Metodologia não intrusiva para estimação do tempo morto em sistemas monovariáveis." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/172072.

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Dentre os fatores limitantes dos sistemas de controle, o tempo morto está entre os mais críticos e de difícil detecção sem testes intrusivos. O conhecimento do seu valor é essencial para a identificação de modelos e na auditoria de desempenho de sistemas de controle. Em virtude disto, o presente trabalho propõe uma metodologia eficaz para estimá-lo utilizando apenas dados históricos de processo em malha fechada. A principal vantagem frente a técnicas disponíveis na literatura é a não necessidade de testes intrusivos. A metodologia é baseada em um tratamento de sinal para remoção dos efeitos do distúrbio não medido e dos erros de modelo. O tratamento de sinal consiste na minimização das oscilações do sinal erro em malha aberta suavizado como função do tempo morto. Diversas formulações de função objetivo e procedimentos de suavização foram estudados visando facilitar a estimação do parâmetro. A qualidade da metodologia é ilustrada através de simulações em uma série de cenários, os quais simulam processos lineares de diferentes características sob o efeito de distúrbios distintos. A metodologia também é testada frente a estudo de casos com dados reais de processo industrial em malhas de nível e temperatura. Os resultados são comparados com métodos da literatura e demonstram que o método proposto foi eficaz na estimação do tempo morto para a maioria dos casos.
Among the limiting factors of control systems, the pure time delay is one of the most critical and difficult to estimate without an intrusive perturbation. The knowledge of its value is essential for model identification and control loop performance assessment. This work proposes a methodology to determine dead time using ordinary closed loop operating data. The main advantage over available techniques is the non-necessity of intrusive plant tests. The proposed approach is based on a signal processing for removing the effects of the unmeasured disturbances and the model-plant mismatches. The signal processing consists of the minimization of the oscillations of the smoothing open loop error as a function of the pure time delay. Several objective function formulations and smoothing procedures were studied in order to facilitate parameter estimation. The quality of the methodology is illustrated by simulations in a series of scenarios, which simulate linear processes of different characteristics under the effect of different disturbances. The methodology is also tested in case studies with real industrial process data. Results are compared to literature approaches and show the method was effective to estimate the pure time delay for most cases.
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Talarcek, Steven C. "An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542303891784113.

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Ramesh, Chithrupa, Henrik Sandberg, and Karl Henrik Johansson. "Stability analysis of multiple state-based schedulers with CSMA." KTH, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-111461.

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In this paper, we identify sufficient conditions for Lyapunov Mean Square Stability (LMSS) of a contention-based network of first-order systems, with state-based schedulers. The stability analysis helps us to choose policies for adapting the scheduler threshold to the delay from the network and scheduler. We show that three scheduling laws can result in LMSS: constant-probability laws and additively increasing or decreasing probability laws. Our results counter the notions that increasing probability scheduling laws alone can guarantee stability of the closed-loop system, or that decreasing probability scheduling laws are required to mitigate congestion in the network.

QC 20130116

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Calou, Paul. "Mesure et compensation de bâtiments navals à l’aide de capteurs magnétiques trois composantes." Thesis, Strasbourg, 2019. http://www.theses.fr/2019STRAH018.

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Cette thèse s’établit à la frontière du géomagnétisme et du magnétisme du navire, deux disciplines proches mais dont les habitudes diffèrent. Dans un premier temps, on présente les spécificités de chaque domaine en introduisant les principales notions clés ainsi que le type de mesure mis en oeuvre pour chaque domaine et les géométries d’acquisition. On vérifie également la validité des approximations utilisées dans les cas de figure rencontrés. Dans un deuxième temps (chapitre 2 et 3) on détaille le lien mathématique possible entre l’anomalie scalaire utilisée en géophysique et les trois composantes du champ d’anomalie. Le chapitre 4 résume les travaux expérimentaux réalisés, on présente le banc de test utilisé ainsi que les résultats obtenus sur données synthétiques et réelles pour la problématique de réglages des boucles d’immunisation. Dans le chapitre 5, une nouvelle approche concernant l’immunisation en boucle fermée pour un navire est présentée. On montre également un exemple de compensation réalisée sur un vrai navire à l’aide de capteurs embarqués. La thèse se termine avec le chapitre 6 qui est un article soumis à une revue scientifique synthétisant les problématiques de la thèse
This PhD thesis aims to apply geophysical practices to another magnetic branch which deals with ship’s signature and magnetization with different methods and habits. Firstly, we present the specificity and practices of each domain, introducing the key notions as well as the differences between each kind of measurement. We check the validity of the approximation corresponding to total-field magnetic anomalies in the particular case of our measurements. In a second time, chapter 2 and 3, a mathematical relation is demonstrated between the scalar anomaly and the three components of the anomaly field based on the equivalent layer method. Chapter 4 summarize the experimental work, focusing on the determination of the best electrical current to compensate the ship’s magnetic signature. The experimental system is presented as well as the main results obtained. In chapter 5, a new approach for closed loop degaussing system is presented, based on a compensation algorithm. We also show some results obtained thanks to the compensation with three-component magnetometers onboard a real ship. Chapter 6 corresponds to an article submitted to a scientific journal (IEEE) that summarize most of the problematics of the thesis
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Miranda, Filipe Costa Pinto dos Reis. "Identificação de sistemas em malha fechada usando controlador preditivo multivariável: um caso industrial." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-19082005-151031/.

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A Identificação de Sistemas é uma tarefa significativa em termos de tempo e custo no trabalho de implementação de sistemas de controle que usam Controle Preditivo baseado em Modelos (MPC). Após a implementação, o controlador tende a permanecer com o mesmo modelo por muito tempo, ignorando mudanças que tenham ocorrido com o processo, perdendo qualidade e podendo até ser abandonado. Este trabalho propõe uma metodologia simples e eficaz para se proceder à reidentificação de uma planta industrial que use MPC mantendo o processo em malha fechada. Os principais aspectos deste problema são discutidos, e as escolhas que foram feitas para a realização dos experimentos e obtenção dos modelos são explicadas. Apresenta-se um caso em Matlab sobre um sistema 2x2 cobrindo diferentes situações, e é feita uma comparação de identificação realizada através de sinais PRBS e de testes com degraus, sempre em malha fechada. Aplica-se a metodologia a um controlador industrial, e os modelos identificados são introduzidos no controlador. O princípio básico desta metodologia consiste em efetuar perturbações multivariáveis nos set-points ou restrições ativas das controladas e determinar o modelo através da estrutura ARX. Entre as vantagens da metodologia proposta, estão a facilidade de automatizar a identificação do processo e a garantia de manter o processo sob controle durante os testes.
System identification is a major task in the process of implementing Model-based Predictive Control (MPC) algorithms in industrial applications. Once the controller is working, there is a tendency to leave it with the original model for a long time, neglecting changes to the process during this time, leading to performance degradation. This work proposes a simple and effective methodology to re-identify plants under MPC in closed loop. The main issues concerning this problem are discussed, and choices for experiments are made. A Matlab case involving a 2x2 problem is presented, covering a range of different situations, and a comparison between identification using PRBS reference signals and standard step tests is shown. An industrial case is studied, applying the proposed method to a real situation, re-identifying an existing MPC model and reconfiguring it afterwards. This methodology is based on the application of multivariable perturbations on the controlled variables set-points or active restrictions, obtaining an ARX model structure. It uses an automatic process identification proceeding, keeping the process under control along the tests.
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Частини книг з теми "Closed loop delay compensation"

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Gao, HuiSheng, XiaoRui Li, and Jun Wang. "Compensation of Double Closed Loop Control Systems with Time-Delay and Data Packet Losses." In Lecture Notes in Electrical Engineering, 237–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27296-7_38.

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Gomez, Ricardo Gomez, and Sylvain Clerc. "Timing-Based Closed Loop Compensation." In Integrated Circuits and Systems, 305–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39496-7_12.

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Wang, Qing-Guo, Tong Heng Lee, and Kok Kiong Tan. "Closed-loop Process Identification." In Finite-Spectrum Assignment for Time-Delay Systems, 26–72. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-84628-531-8_3.

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Liao, Wenhe, Bo Li, Wei Tian, and Pengcheng Li. "Joint Space Closed-Loop Feedback." In Error Compensation for Industrial Robots, 159–78. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6168-7_5.

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Liao, Wenhe, Bo Li, Wei Tian, and Pengcheng Li. "Cartesian Space Closed-Loop Feedback." In Error Compensation for Industrial Robots, 179–201. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6168-7_6.

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Vicente, Diego, Matías Paesani, Fernando Villegas, and Rogelio Hecker. "Closed Loop Compensation of Linear Deviations in Ball Screw Drives." In Multibody Mechatronic Systems, 187–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60372-4_21.

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Rosenwasser, Efim N., Torsten Jeinsch, and Wolfgang Drewelow. "Closed-Loop Sampled-Data System with Periodic Object and Delay." In Sampled-Data Control for Periodic Objects, 101–11. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01956-2_7.

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Ricci, Stefano, Valentino Meacci, Dario Russo, and Riccardo Matera. "Encoder-Motor Misalignment Compensation for Closed-Loop Hybrid Stepper Motor Control." In Lecture Notes in Electrical Engineering, 327–33. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11973-7_38.

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Tang, Zhong, John White, John Chiasson, and J. Douglas Birdwell. "Modeling and Closed Loop Control for Resource-Constrained Load Balancing with Time Delays in Parallel Computations." In Applications of Time Delay Systems, 57–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49556-7_4.

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Rosenwasser, Efim N., Torsten Jeinsch, and Wolfgang Drewelow. "Parametric Transfer Matrix of the Closed-Loop Sampled-Data System with Delay as Function of Argument s." In Sampled-Data Control for Periodic Objects, 181–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01956-2_14.

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Тези доповідей конференцій з теми "Closed loop delay compensation"

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Bušek, Jaroslav, Matěj Kuře, Martin Hromčík, and Tomáš Vyhlídal. "Control Design With Inverse Feedback Shaper for Quadcopter With Suspended Load." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9052.

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Анотація:
A control design and numerical study is presented for the problem of maneuvering a quadcopter with suspended load. An inverse shaper with a distributed time delay is applied to the feedback path in order to pre-compensate the oscillatory mode of the two-body system. As the first step, the mode to be targeted by the inverse shaper is determined, which is neither the oscillatory mode of the overall system dynamics, nor the oscillatory mode of the suspended load. Next, the established cascade control scheme for UAVs with slave PD pitch angle controller and master PID velocity controller is adopted and supplemented by the inverse shaper tuned to the isolated flexible mode. The numerical and simulation based analysis reveals the key design aspects and dynamics features — due to including the inverse shaper with time delays, the closed loop system becomes infinite dimensional. As the main result, the positive effects of including the inverse shaper in the loop feedback are demonstrated. First of all, the oscillatory mode is well compensated when excited by both the set-point and disturbance changes. Besides, it is shown that the mode compensation is preserved even when reaching the saturation limits at the control actions.
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Diagne, Mamadou, Nikolaos Bekiaris-Liberis, and Miroslav Krstic. "Time- and State-Dependent Input Delay-Compensated Bang-Bang Control of a Screw Extruder for 3D Printing." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9630.

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We extend the recently developed delay-compensated “Bang-Bang” control design methodology for control of the nozzle output flow rate of isothermal screw-extruder-based 3D printing processes to the non-isothermal case, in which, the viscosity of the material that convects in the extruder chamber varies with time, resulting in periodic fluctuations of the material’s transport speed. We model the dynamics of the material convection in the extruder chamber with a nonlinear system with an input delay that simultaneously depends on the state and the time variable to account for the time variations of the transport speed. By combining a nominal, piecewise exponential feedback controller, which achieves global exponential stability in the nominal delay-free case, with nonlinear predictor feedback, the compensation of the time- and state-dependent input delay of the extruder model is achieved. Global asymptotic stability of the closed-loop system under the Bang-Bang predictor feedback is established when certain conditions, which are easy to verify, related to the extruder design and the material properties, as well as to the magnitude and frequency of the material’s transport speed variations, are satisfied. Simulations results are presented to illustrate the effectiveness of the proposed control design.
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3

Jammoussi, Hassene, and Imad Makki. "Diagnostics of Oxygen Sensors and Air-Fuel Ratio Adaptive Controls." In ASME 2015 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/icef2015-1026.

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Stringent emission regulations mandated by California air regulation board (CARB) require monitoring the upstream exhaust gas oxygen (UEGO) sensor for any possible malfunction causing the vehicle emissions to exceed standard thresholds. Six faults have been identified that may potentially cause the UEGO sensor performance to deteriorate and lead to instability of the air-fuel ratio (AFR) closed-loop control system. These malfunctions are either due to an additional delay or an additional lag in the transition of the sensor response from lean to rich or rich to lean. In this paper, a novel non-intrusive approach is developed to diagnose these faults using a combination of a statistical method and a system identification process. In the second part of this work, a control strategy is presented that utilizes the type, the direction and the magnitude of the fault present to update the gains of the controller for the closed-loop air-fuel ratio control system. The proposed strategy does not require modifying the controller structure and only adapts the baseline gains of the controller and delay compensator to match the actual system dynamics (in presence of fault). The proposed approach has been demonstrated on a vehicle (Mustang V6 3.7L) where different faults were induced, and the emissions associated with each fault were measured to show the improvement.
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Moroto, Robert H., Robert R. Bitmead, and Chad M. Holcomb. "Improving Disturbance Compensation in Gas Turbines by Incorporating Event-Triggered Logic Signals From Switchgear." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64761.

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Traditional feedback control schemes perform well when the gas turbine (GT) is operating near steady state operating points. In the case of large and abrupt changes in shaft power demand, for example, a standard feedback controller cannot offer the same performance as a better informed controller with more rapid detection time and lesser measurement delays. This work seeks to improve the quality of the information available for use in feedback control by incorporating event-triggered logic signals from switchgear. In this paper, we consider a GT generating power for a microgrid in island mode operation. We seek to use more immediate, but logic-valued, signals available from switchgear monitoring equipment, such as circuit breakers, to improve transient load demand estimation and thereby control performance. Techniques are developed using ideas familiar from Kalman filtering for rapid acquisition of load estimates during transients, notably faults. The resulting approach yields a time-varying estimator which uses the breaker logic signals to augment the standard feedback signals to improve transient estimator response without a concomitant degradation of steady state response. An example is provided using an identified closed-loop GT model.
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Bachelder, Edward, and Bimal Aponso. "A Theoretical Framework Unifying Handling Qualities, Workload, Stability and Control." In Vertical Flight Society 77th Annual Forum & Technology Display. The Vertical Flight Society, 2021. http://dx.doi.org/10.4050/f-0077-2021-16797.

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The concepts and principle developed in this work offer a novel and integrative approach for exploring fundamental issues surrounding pilot performance, handling qualities (HQs), and workload. Fundamental laws of sensory perception are extended to multi-input sensing, showing that multiple sensory inputs add logarithmically. It is proposed rather than being just a sensational response, a pilot’s perception of workload is a skill that is acquired and used for the purpose of modulating system stability (i.e., phase margin) during a tracking task. Evidence is presented indicating than an operator perceives workload and behaves such that workload is linearly related to phase margin (PM). It is also shown that this behavior associated with PM linearization serves to reduce workload. PM-workload linearization would enable a straightforward transformation of workload to PM, allowing PM to be set by the pilot to facilitate loop control. A perceptual transformation of the variables available to the pilot (control activity, error) couples with the behavioral conditioning to complete the linearization between PM and sensed workload. Two contrasting sets of experimental data were used to examine pilot response, indicating that pilot compensation is conducted via both frequency modulation (lead-lag) and temporal modulation (pure time delay). HQ sensing is treated as multi-input perception, where time delay and the lead-lag ratio are the stimuli for compensation sensing, and tracking error is the stimulus for performance sensing. A HQ metric arising from the logarithmic addition of these two sensations is shown to yield promising results. A cost function representing pilot behavioral objectives is developed that serves to modulate the following four items: 1) Tracking error; 2) Workload; 3) Linearity between workload and PM; and 4) Setting a reference PM. The pilot cost function was implemented in an optimal pilot which produced pilot time delay and pilot compensation estimates that closely matched the actual pilot data.
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Wang, Pengfei, M. Necip Sahinkaya, and Sam Akehurst. "Pseudo-Causal Tracking Control of a Nonminimum Phase System." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2579.

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A novel method is described to implement noncausal feedforward compensators causally, i.e. without requiring any future value of the reference input trajectory. A hardware-in-the loop test facility developed for continuously variable transmissions is utilized in this paper. The test facility includes two induction motors to emulate engine and vehicle characteristics. Software models of an engine and vehicle, running in real-time, provide reference torque and speed signals for the motors, which are connected to a transmission that is the hardware in the loop. Speed control of the output motor that emulates the vehicle dynamics is used to demonstrate an application of the proposed technique. A feedforward compensator, based on transfer function inversion, is used to compensate for the nonminimum phase motor and drive system dynamics. The vehicle model cannot be run ahead of time to provide the future values required by the noncausal inversion technique because it requires the current torque at the output of the transmission. Therefore, the feedforward controller has to be applied causally. A frequency domain estimation technique and a multi-frequency test signal are utilized to estimate, within the frequency range of interest, a low relative order transfer function of the closed loop system incorporating a manually added delay in the feedback loop. A noncausal feedforward controller is designed for the delayed output of the system based on the identified transfer function. It has been shown experimentally that this compensator offers excellent tracking performance of the motor when subjected a multi-frequency speed demand signal.
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Kuczenski, Brandon, William C. Messner, and Philip R. LeDuc. "Controlled Waveform Chemical Stimulus of Cellular Subdomains for System Identification." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-193053.

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The dynamic behavior of cells is a subject of extensive investigation. Current attempts to model and describe cell behavior show similarity to traditional engineering models of dynamic systems, often making use of the same vocabulary and principles (e.g. amplification, feedback, regulation, instability). A significant difference between biological dynamic systems and engineered ones is that the latter often feature a designed compensator whose dynamic behavior modulates the dynamic response of the system through closed-loop feedback control. In biological systems, by contrast, the feedback is often implicit, and the investigator has no direct control over modulations which are internal to the system. Although disruptive techniques like synthetic siRNA [1] or genetic modification can certainly change cellular behavior, in some cases it is desirable to probe the dynamics of cellular processes without changing their essential operation, or without substantial delay between applying a perturbation and observing its effects.
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Fazli, Mohamad, Seyed Mahdi Rezaei, and Mohamad Zareienejad. "A Novel Composite Neural Network for Hysteresis Modeling in Piezoelectric Actuators." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12571.

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Piezoelectric actuators are convenient for micro positioning systems. Inherent hysteresis is one of the drawbacks in use of these actuators. Precise control of this actuator under changing of environmental and operational conditions, without modeling of hysteresis, is impossible. Neural networks can be used for this modeling. The ordinary feed forward neural networks can not train time dynamic relationship between input and output. Thus a certain type of networks called time delay feed forward neural networks (TDNN), are developed and is used in this paper. In the previous researches in this field, the important effect of loaded force on the actuator is ignored. This can increase the positioning error remarkably. Especially when these actuators are used in the precise grinding or machining operations. In this paper, neural network is used for hysteresis modeling with attention to the important effect of loaded force. After modeling, inverse hysteresis model is used as compensator in a feed forward way to linearize the input-output relationship. Then using PI closed loop controller and selecting suitable coefficient for it, the maximum error was decreased to less than 2 percent of the working amplitude.
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Rovati, L., S. Cattini, M. Marchesi, and E. Dallago. "Closed loop PCB Fluxgate without compensation coil." In 2007 IEEE Sensors. IEEE, 2007. http://dx.doi.org/10.1109/icsens.2007.4388535.

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Tidare, Jonatan, Elaine Åstrand, and Martin Ekström. "Evaluation of Closed-loop Feedback System Delay." In 11th International Conference on Biomedical Electronics and Devices. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006598301870193.

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Звіти організацій з теми "Closed loop delay compensation"

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Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.

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Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway’s median, where I-94 merges into I-90, and there are three entrance gates in each direction of this corridor. The purpose of the reversible lanes is to help the congested direction of the Kennedy Expressway increase its traffic flow and decrease the delay in the whole corridor. Currently, experts in a control location switch the direction of the reversible lanes two to three times per day by observing real-time traffic conditions captured by a traffic surveillance camera. In general, inbound gates are opened and outbound gates are closed around midnight because morning traffic is usually heavier toward the central city neighborhoods. In contrast, evening peak-hour traffic is usually heavier toward the outbound direction, so the direction of the reversible lanes is switched from inbound to outbound around noon. This study evaluates the Kennedy Expressway’s current reversing operation. Different indices are generated for the corridor to measure the reversible lanes’ performance, and a data-driven approach is selected to find the best time to start the operation. Subsequently, real-time and offline instruction for the operation of the reversible lanes is provided through employing deep learning and statistical techniques. In addition, an offline timetable is also provided through an optimization technique. Eventually, integration of the data-driven and optimization techniques results in the best practice operation of the reversible lanes.
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