scholarly journals Self-tuning run-time reconfigurable PID controller

2011 ◽  
Vol 21 (2) ◽  
pp. 189-205 ◽  
Author(s):  
Mariusz Pelc
Keyword(s):  
Control Systems ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Environmental Changes ◽  
Computer Control ◽  
Controlled System ◽  
Digital Pid ◽  
Self Tuning ◽  
Run Time

Self-tuning run-time reconfigurable PID controller Digital PID control algorithm is one of the most commonly used algorithms in the control systems area. This algorithm is very well known, it is simple, easily implementable in the computer control systems and most of all its operation is very predictable. Thus PID control has got well known impact on the control system behavior. However, in its simple form the controller have no reconfiguration support. In a case of the controlled system substantial changes (or the whole control environment, in the wider aspect, for example if the disturbances characteristics would change) it is not possible to make the PID controller robust enough. In this paper a new structure of digital PID controller is proposed, where the policy-based computing is used to equip the controller with the ability to adjust it's behavior according to the environmental changes. Application to the electro-oil evaporator which is a part of distillation installation is used to show the new controller structure in operation.

Design of Incremental PID Controller Based on FPGA

2014 ◽  
Vol 602-605 ◽  
pp. 830-833
Author(s):  
Xiao Yun ◽  
Zhou Hu Deng ◽  
Xue Wen Wang ◽  
Chao Yang
Keyword(s):  
Pid Control ◽  
Manufacturing Process ◽  
Pid Controller ◽  
Control Algorithm ◽  
Control Methods ◽  
Digital Pid ◽  
Digital Pid Control

Digital PID control is one of the most widely used control methods in the manufacturing process. Based on the analysis of PID control algorithm, the system has designed and simulated the incremental PID controller using the LPM macro module built-in FPGA,and also designed the PWM module. The combination of two modules can be used for a variety of applications. The results show that the design is feasible and correct.

Adaptive Single Neuron PID Control with Fuzzy and Self-Tuning in Networked Control Systems

2012 ◽  
Vol 235 ◽  
pp. 152-157 ◽  
Author(s):  
Hai Chen Yu ◽  
Cheng Shao ◽  
De Sheng Zhou
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Pid Control ◽  
Control Algorithm ◽  
Single Neuron ◽  
Networked Control Systems ◽  
Adaptive Performance ◽  
Analysis And Design ◽  
Self Tuning ◽  
Single Neuron Pid

As the varied time-delay caused by the network in NCSs, the analysis and design of NCSs become more difficult. In this paper, the single neuron PID control algorithm is modified by adjusting adaptively the scale factor and learning rate of the neuron with fuzzy rulers subject to NCSs. It is observed from the simulation that the proposed method has a well dynamic and adaptive performance.

scholarly journals A Novel Method for Tuning PID Controller

2013 ◽  
Vol 6 (1) ◽  
pp. 62-74
Author(s):  
Abidaoun H. shallal ◽  
Rawaa A. Karim ◽  
Osama Y. Al-Rawi
Keyword(s):  
Computer Technology ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
The Novel ◽  
Operation Conditions ◽  
Wide Range ◽  
Novel Method ◽  
Mechanical Performances ◽  
Dc Servomotor

Proportional integral derivative (PID) control is the most commonly used  control algorithm in the industry today. PID controller popularity can be attributed to the  controller’s effectiveness in a wide range of operation conditions, its functional simplicity, and the ease with which engineers can implement it using current computer technology . In this paper,the Dc servomotor model is chosen according to his good electrical and mechanical performances more than other Dc motor models , discuss the novel method for  tuning PID controller and comparison with Ziegler - Nichols method from through parameters of transient response of any system which uses PID compensator

Optimal fractional-order PID control design for time-delayed multi-input multi-output seismic-excited structural system

2021 ◽  
pp. 107754632110531
Author(s):  
Abbas-Ali Zamani ◽  
Sadegh Etedali
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Design Process ◽  
Fractional Order ◽  
Seismic Performance ◽  
Pid Control ◽  
Pid Controller ◽  
Control Design ◽  
Structural System ◽  
Fractional Order Pid

The application of the fractional-order PID (FOPID) controller is recently becoming a topic of research interest for vibration control of structures. Some researchers have successfully implemented the FOPID controller in a single-input single-output (SISO) control structural system subjected to earthquake excitations. However, there is a lack of research that focuses on its application in multi-input multi-output (MIMO) control systems to implement it in seismic-excited structures. In this case, the cross-coupling of the process channels in the MIMO control structural system may result in a complex design process of controllers so that each loop is independently designed. From an operational point of view, the time delay and saturation limit of the actuators are other challenges that significantly affect the performance and robustness of the controller so that ignoring them in the design process may lead to unrealistic results. According to the challenges, the present study proposed an optimal fractional-order PID control design approach for structural control systems subjected to earthquake excitation. Gases Brownian motion optimization (GBMO) algorithm is utilized for optimal tuning of the controller parameters. Considering six real earthquakes and seven performance indices, the performance of the proposed controller, implemented on a ten-story building equipped with an active tendon system (ATS), is compared with those provided by the classical PID controller. Simulation results indicate that the proposed FOPID controller is more efficient than the PID in both terms of seismic performance and robustness against time-delay effects. The proposed FOPID controller can maintain suitable seismic performance in small time delays, while a significant performance loss is observed for the PID controller.

scholarly journals PID Controller Implemented in Festo CDPX

2019 ◽  
Vol 260 ◽  
pp. 02008
Author(s):  
Primož Podržaj
Keyword(s):  
Control Systems ◽  
Pid Controller ◽  
Control Algorithm ◽  
Closed Loop ◽  
Pi Control ◽  
Programmable Logic ◽  
Educational Tool ◽  
Level Control ◽  
Loop Control ◽  
Machine Interface

In this paper, we describe the procedure for the implementation of the PID controller in the Festo CDPX operator unit. These units enable the execution of the control algorithm and human machine interface in a single unit. In our laboratory the unit is used to teach the students about the basics of control systems. For this purpose, one of the most common closed loop control systems for the education purposes was selected. It is a water level control system. In this paper the design of the whole system is presented. The need for a PI control algorithm is also explained. The programming of the operator unit CDPX, both in Festo CoDeSys and Designer Studio is explained. Such a simple system has turned out to be a great educational tool for Control Theory and Programmable Logic Controller related subjects.

Application of Active Mount Engine Vibration Isolation to Fuzzy Control Systems

2013 ◽  
Vol 341-342 ◽  
pp. 1023-1027
Author(s):  
Hui Guo ◽  
Guo Chun Sun ◽  
Min Fan
Keyword(s):  
Control Systems ◽  
Pid Control ◽  
Vibration Isolation ◽  
The Body ◽  
Fuzzy Pid Control ◽  
Power Train ◽  
Engine Vibration ◽  
Control Scheme ◽  
Self Tuning ◽  
Piezoelectric Stack Actuator

An automobile power-train active mount system with a piezoelectric stack actuator is introduced. The influence caused by power-train to the body of the car is analyzed by means of parameter self-tuning fuzzy PID control, on which the simulating results are based. It turns out that this control scheme can restrain the influence better caused by power-train to the body of the car.

Research of Several PID Algorithms Based on MATLAB

2013 ◽  
Vol 760-762 ◽  
pp. 1075-1079
Author(s):  
Jin Zeng ◽  
Li Guang Wang ◽  
Meng Jun Ye ◽  
Chang Hui Hu ◽  
Tian Feng Ye
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Dead Zone ◽  
Control Algorithms ◽  
Pid Algorithm ◽  
Digital Pid ◽  
Digital Pid Control

This paper introduces several PID control algorithms and their discretization expression. Compare the performance of positional PID algorithm with incremental PID algorithm, integration separate PID algorithm, incomplete differential PID algorithm and PID algorithm with dead zone. The experiment results show that different digital PID control algorithm could achieve different using.

The PID Control Algorithm Based on MATLAB Simulation

2014 ◽  
Vol 494-495 ◽  
pp. 1302-1305
Author(s):  
Le Peng Song ◽  
Di Jian Xu ◽  
Jin Liang Shi ◽  
Bi Jia
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Theoretical Foundation ◽  
Matlab Simulation ◽  
Paper Briefly ◽  
Graphical Language ◽  
Visual Modeling ◽  
Modeling Simulation ◽  
Symbolic Operation

MATLAB is a set of numerical calculation, symbolic operation, visual modeling, simulation and graphic processing and other functions in one of the very best graphical language. This paper briefly introduces the PID controller is widely used in the field of industry, and the theoretical foundation of the PID controller, and the continuous improvement of system performance index.

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

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