scholarly journals Design and Implementation of Closed-loop PI Control Strategies in Real-time MATLAB Simulation Environment for Nonlinear and Linear ARMAX Models of HVAC Centrifugal Chiller Control Systems

2018 ◽  
Vol 3 (2) ◽  
pp. 283-308 ◽  
Author(s):  
Nicolae Tudoroiu ◽  
Mohammed Zaheeruddin ◽  
Songchun Li ◽  
Elena-Roxana Tudoroiu
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Closed Loop ◽  
Control Strategies ◽  
Pi Control ◽  
Simulation Environment ◽  
Matlab Simulation ◽  
Design And Implementation ◽  
Centrifugal Chiller

Remote Simulation to Evaluate Real-Time Traffic Control Strategies

2000 ◽  
Vol 1727 (1) ◽  
pp. 95-100 ◽  
Author(s):  
David E. Lucas ◽  
Pitu B. Mirchandani ◽  
K. Larry Head
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Systems ◽  
Real Time ◽  
Traffic Control ◽  
Control Strategies ◽  
Remote Access ◽  
Hardware In The Loop ◽  
Simulation Environment ◽  
Real Time Traffic

Simulation is a valuable tool for evaluating the effects of various changes in a transportation system. This is especially true in the case of real-time traffic-adaptive control systems, which must undergo extensive testing in a laboratory setting before being implemented in a field environment. Various types of simulation environments are available, from software-only to hardware-in-the-loop simulations, each of which has a role to play in the implementation of a traffic control system. The RHODES (real-time hierarchical optimized distributed effective system) real-time traffic-adaptive control system was followed as it progressed from a laboratory project toward actual field implementation. The traditional software-only simulation environment and extensions to a hardware-in-the-loop simulation are presented in describing the migration of RHODES onto the traffic controller hardware itself. In addition, a new enhancement to the standard software-only simulation that allows remote access is described. The enhancement removes the requirement that both the simulation and the traffic control scheme reside locally. This architecture is capable of supporting any traffic simulation package that satisfies specific input-output data requirements. This remote simulation environment was tested with several different types of networks and was found to perform in the same manner as its local counterpart. Remote simulation has all of the advantages of its local counterpart, such as control and flexibility, with the added benefit of distribution. This remote environment could be used in many different ways and by different groups or individuals, including state or local transportation agencies interested in performing their own evaluations of alternative traffic control systems.

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.

Simulation study of tram priorities effectiveness implemented in traffic control system

2018 ◽  
Vol 122 ◽  
pp. 5-15
Author(s):  
Mirosław Czerliński ◽  
Rafał Ruść ◽  
Józef Suda
Keyword(s):  
Control System ◽  
Control Systems ◽  
Simulation Study ◽  
Future Study ◽  
Traffic Control ◽  
Detection System ◽  
Control Strategies ◽  
Simulation Approach ◽  
Simulation Environment ◽  
Traffic Control System

One of the elements of implemented in Poland traffic control systems is module of priorities for public transport. Essence of working priority and the basic indicators of its effectiveness were presented. Among methods for testing the effectiveness of the priority, there has been distinguished economic and simulation approach. An example of priority research based on simulation of chosen street in Bydgoszcz was shown, using Vissim simulation environment. Developed simulation model, its connection to the control system, adopted detection system and 4 tested control strategies were also described. Then, the simulation and its results were presented. In results discussion they were compared in terms of adopted control strategies. In summary, possibility of a future study extension was also indicated.

Design and Implementation of Bus–Holding Control Strategies with Real-Time Information

2002 ◽  
Vol 1791 (1) ◽  
pp. 6-12 ◽  
Author(s):  
Liping Fu ◽  
Xuhui Yang
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Simulation Analysis ◽  
Control Strategies ◽  
Control Point ◽  
Location Information ◽  
Control Logic ◽  
Design And Implementation ◽  
New Findings ◽  
Real Time Information

A systematic study is described to address various design and implementation issues associated with the problem of real-time bus holding control. Two holding control models have been investigated. The first model follows the conventional threshold-based control logic that determines holding times on the basis of headway to the preceding bus. The second model makes use of both preceding and following headways in identifying optimal control decisions with the assumption that real-time bus location information is available for estimating future bus arrivals at the control stop. An extensive simulation analysis is performed using a real-fife bus route operated by the Grand River Transit of the region of Waterloo, Ontario. The simulation results have substantiated several conclusions and yielded new findings on various issues such as where to set the control point, how many control points should be used, what is the optimal control strength, and what is the value of real-time location information.

AI in control Systems engineering

1990 ◽  
Vol 5 (3) ◽  
pp. 181-214 ◽  
Author(s):  
D. A. Linkens
Keyword(s):  
Decision Making ◽  
Control Systems ◽  
Systems Engineering ◽  
Control Strategies ◽  
Sensor Data ◽  
Algorithm Selection ◽  
Design And Implementation ◽  
Knowledge Based ◽  
Multi Sensor Data Fusion ◽  
Control Systems Engineering

AbstractDecision-making is an integral part of any consideration of the discipline of control Systems. This implies feedback of knowledge in some format, whether it is mediated via human or machineoriented methods. The application of AI methodologies to control Systems engineering is described in this review under two broad categories of design and implementation. The design of control strategies is itself divided into phases of modelling and simulation, identification, and algorithm selection and tuning. The aspects of implementation which are covered include real-time considerations such as knowledge-based control and fuzzy logic, multi-sensor data fusion, fault detection and Human–Computer Interaction (HCI).

Design and implementation of a mobile terminal cloud supervisory control platform for networked control systems

2021 ◽  
pp. 014233122110492
Author(s):  
Chuanguo Chi ◽  
Guo-Ping Liu ◽  
Wenshan Hu
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Supervisory Control ◽  
Networked Control Systems ◽  
Mobile Terminal ◽  
Networked Control ◽  
Time Data ◽  
Design And Implementation ◽  
Function Modules ◽  
And Function

This paper investigates the design and implementation of a mobile terminal cloud supervisory control (MTCSC) platform based on networked control systems (NCSs). The platform relying on mobile programming and C/S architecture provides real-time data transmission and supervisory for the cloud control system (CCS). Users can deploy the platform in smart phones, tablet computers and other mobile devices, which solves the problem of the dependence on PC for networked supervisory system. Both asynchronous data receiving and synchronous real-time monitoring of different cloud nodes are supported on mobile terminal. Additionally, through data cloud transmission, users can realize remote cloud monitoring. Moreover, to overcome the data delay during users’ monitoring and to improve the reliability of the system, a multi-threaded communication and real-time communication scheme are proposed. The virtual instruments and function modules of the system can be customized by users, which not only increase the flexibility of operation but also enhance the customization and expansion of functions. Finally, the feasibility of the MTCSC platform is verified by online simulation and experiment.

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