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Simulation Design of Controller for Networked Control System

Jinbo Hu, Haitao Zhang, Guifang Wu
2016 International Journal of Control and Automation  
Aiming at the problem of time delay in the networked control system, by using the nonlinear approximation of the fuzzy control algorithm , and Smith forecast compensation.  ...  , the control algorithm based on the fuzzy adaptive PID with new Smith predictor can effectively improve the robustness and adaptability of the system.  ...  Chen et al. propose a Fuzzy-Smith compensator based on the modeling error for the time delay compensation of networked control system.  ... 
doi:10.14257/ijca.2016.9.1.12 fatcat:da3qo763srda7igzeqsg6zs35m

A New Time-Delay Compensating Scheme for Electro-Hydraulic Systems

Chun-Liang Lin, Chun-Hsiung Chen, Van-Tsai Liu
2005 International Journal of Fluid Power  
In the proposed system, two types of controllers are combined: a fuzzy-PID controller used to ensure primary tracking performance and an adaptable wavelet compensator used to compensate for the time delay  ...  We propose in this paper a non-model-based design approach for hydraulic actuating systems based on a new time-delay compensation scheme.  ...  Time-Delay Compensation A Smith predictor is a useful technique for better control of process systems with delay times.  ... 
doi:10.1080/14399776.2005.10781208 fatcat:jiaruieua5djrhktbuabp2i4ay

New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems

Yinqing Tang, Feng Du, Yani Cui, Yu Zhang
2018 EURASIP Journal on Wireless Communications and Networking  
Aiming at the problem of network-induced delays for multi-input multi-output networked control systems (MIMO NCS), a new Smith predictive fuzzy immune PID algorithm is introduced to effectively reduce  ...  Based on the generalized plant after decoupling, the new Smith predictor is designed. Then, an modified fuzzy immune feedback control algorithm is used to tune PID controller parameters online.  ...  Acknowledgements This work is partially supported by the State Key Laboratory of Marine Resource Utilization in South China Sea of Hainan University.  ... 
doi:10.1186/s13638-018-1229-8 fatcat:xcvn2eazybhpxhhb62qv2jb3ou

Online adaptive Smith predictor with fuzzy controller for Networked Control Systems

Pooya Hajebi, S. M. T. AlModarresi
2011 The 2nd International Conference on Control, Instrumentation and Automation  
Fuzzy logic controller could become adaptive by means of neural networks and beneficial to deal with the varying time delay problem.  ...  Convenient controllers such as PID and PI type controllers which are just match with a constant delay time could not be a solution for these systems.  ...  Du proposed a Smith predictor integrated with fuzzy adaptive PID controller for the NCSs in [17] . However they did not measure the network delay online.  ... 
doi:10.1109/icciautom.2011.6356725 fatcat:im3jf3hohvb2ve47fbflcsr7ta

A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems

Yi Zhou, Muhammad Arif
2022 Security and Communication Networks  
This paper focuses on advanced control strategies such as PID control, predictive PID control, adaptive PID control, fuzzy PID control, neural network PID control, expert intelligent PID control, PID control  ...  At present, there is a great variety of PID controllers. Companies have developed intelligent regulators with functions for automatically tuning PID parameters.  ...  Field staff and design engineers are familiar with adaptive PID controllers.  ... 
doi:10.1155/2022/7156713 fatcat:ks5tjrftwnhi3eczofiw7z3xym

Application of the Modified Fuzzy-PID-Smith Predictive Compensation Algorithm in a pH-Controlled Liquid Fertilizer System

Yongchao Shan, Lixin Zhang, Xiao Ma, Xue Hu, Zhizheng Hu, He Li, Chanchan Du, Zihao Meng
2021 Processes  
The pH control system with fuzzy-PID and Smith algorithm as controller was used as the control group.  ...  According to the characteristics of the pH regulation process of liquid fertilizer, this study proposes and designs a modified fuzzy-PID-Smith predictive compensation algorithm, which adds the fuzzy-PID  ...  However, all data used in this Manuscript can be made available upon request to the authors. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/pr9091506 fatcat:sflyufsfqnemze4222iy6njvxa

Design and Analysis of Optimization based Integrated ANFIS- PID Controller for Networked Controlled Systems (NCSs)

Debashish Pal, S.K. Bhagat, Chen Peng
2020 Cogent Engineering  
In order to enhance the performance of the network, various soft computing techniques were presented in previous works for both scenarios i.e. with delay and without delay, in which Fuzzy-PID controllers  ...  The simulation of the proposed approach is processed for both with and without time delay consideration to perform analysis over Peak Overshoot, Settling Time and Rise Time of the network.  ...  The adaptive least mean square (LMS) delay prediction paradigm, as well as Smith compensator was combined by the control strategy that could compensate a specific degree of network delay.  ... 
doi:10.1080/23311916.2020.1772944 fatcat:n47i2avxknd4lluo5u5vups6du

Recent advances in industrial control

Hao Yu, Tiantian Xie, Bogdan Wilamowski
2011 IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society  
Controllers are classified into several types according to different control technologies, including PID algorithm, Kalman filter, least squares regression, network-based automation, fuzzy inference systems  ...  The paper presents the state-of-the-art study on the recently published literatures subjected to industrial control in various industrial applications.  ...  In this literature, neural networks and fuzzy inference systems were compared with RBF networks from the points of design and functionality.  ... 
doi:10.1109/iecon.2011.6120073 fatcat:x4k7jgsxxvek3obmrmpngldceu

Neural Fuzzy Control of Ball and Beam System

Ashwani Kharola, Pravin P. Patil
2017 International Journal of Energy Optimization and Engineering  
A Matlab/Simulink model of the proposed system has been designed using Newton's equations of motion. The fuzzy controllers were built using seven gbell membership functions.  ...  This paper presents an offline control of ball and beam system using fuzzy logic. The objective is to control ball position and beam orientation using fuzzy controllers.  ...  The authors designed a fuzzy self-tuned PID controller and a Back propagation neural network PID controller.  ... 
doi:10.4018/ijeoe.2017040104 fatcat:gxsmupbrtbcobjwcwwlt4dkuzi

Optimization Based Integrated Fuzzy Logic PID Controller for Networked Controlled Systems (NCSs)

Debashish Pal, Shiv Kumar Bhagat
2019 Universal Journal of Electrical and Electronic Engineering  
Also, a fuzzy logic parameter is integrated with PID controller to get a measure of probabilistic delay and fault occurrence.  ...  Here, initially the parameter initialization is done and transmission of data in the network is estimated and evaluated by the use of PID controller which is responsible for estimating the delay factors  ...  In [8] , the author suggested a scheme of fuzzy parameter and PID controller for the networked systems by an arbitrary delay of time.  ... 
doi:10.13189/ujeee.2019.061504 fatcat:fcxm6my5lfc57kxeftranmej7a

A neural net-based time-delay compensation scheme and disturbance rejection for pneumatic systems

Chun-Liang Lin, Chun-Hsiung Chen, Bing-Min Shiu
2008 Journal of Intelligent Manufacturing  
In the proposed control system, a gain scheduled fuzzy-PID controller ensures tracking performance, an adaptable wavelet neuro compensator compensates for time-delay of the control valve, and a disturbance  ...  This may sometimes cause closed-loop instability if the time delay is not treated carefully in the control system designs.  ...  Fuzzy-PID control design A modified PID controller is served as a tracking controller for the pneumatic system.  ... 
doi:10.1007/s10845-008-0092-6 fatcat:xkmhrvjwe5b77lnwkncj6wbx7q

Experimental study on advanced underwater robot control

Side Zhao, J. Yuh
2005 IEEE Transactions on robotics  
This paper presents the theory and experimental work of the adaptive plus disturbance observer (ADOB) controller for underwater robots, which is robust with respect to external disturbance and uncertainties  ...  The effectiveness of the ADOB was experimentally investigated by implementing three controllers: PID, PID plus DOB, and ADOB on an autonomous underwater robot, ODIN III.  ...  ACKNOWLEDGMENT The authors would like to thank staff of the Autonomous Systems Laboratory and MASE, Inc., for their assistance in testing ODIN III, and the reviewers for their useful suggestions.  ... 
doi:10.1109/tro.2005.844682 fatcat:u77rdc5pqreavh2btp3kqdd2ma

A SURVEY OF STABILITY OF FUZZY LOGIC CONTROL WITH AEROSPACE APPLICATIONS

Jose M. Giron-Sierra, Guillermo Ortega
2002 IFAC Proceedings Volumes  
During recent years considerable efforts have been devoted to guarantee the stability of fuzzy logic control (FLC).  ...  This is important to pave the way for the use of FLC in applications were no risks should be run. Aerospace is a clear example of a field where control must be sure.  ...  When using a controller, for instance a PID, the study of stability refers to a complete system: the plant and the controller.  ... 
doi:10.3182/20020721-6-es-1901.01237 fatcat:eiq4frh5kbb2zkbpzych5bsvau

Smith Predictor Based Fuzzy Estimator for Uncertain Time-Delayed Systems

T.C. Kuo, Y.J. Huang, B.W. Hong, C.H. Chang, H.Y. Tseng
2012 Applied Mechanics and Materials  
A fuzzy estimator is developed to predict the uncertain plant time-delay. Smith predictor is exploited. An adaptive tuning law is developed to further improve the control system performance.  ...  In this paper, a novel robust control method is proposed for uncertain time-delayed systems. The objective is to guarantee system stability and robustness against modeling errors.  ...  Smith predictors have been proposed to be the supplementary technique for designing time-delayed control systems. 1, 6, 7 With the Smith predictor, a controller designed for a control system with no  ... 
doi:10.4028/www.scientific.net/amm.157-158.462 fatcat:w2nrofqwlzhvnenc24tvrpvyxe

NONLINEAR INTERNAL MODEL CONTROL FOR MISO SYSTEMS BASED ON LOCAL LINEAR NEURO-FUZZY MODELS

Alexander Fink, Oliver Nelles, Rolf Isermann
2002 IFAC Proceedings Volumes  
In practice, the tuning of conventional PI or PID controllers can be very time-consuming whereas the IMC design procedure is very simple and reliable.  ...  In this paper, the design effort of the IMC and conventional controller design methods will be discussed and control results will be compared by application to nonlinear control of an industrial-scale  ...  Neural networks as well as fuzzy systems have been widely employed for the representation of nonlinear systems and the idea of internal model control can be combined with these types of models (Hunt et  ... 
doi:10.3182/20020721-6-es-1901.00956 fatcat:svd43ijjgzcxdiixzoh4stetqu
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