ACS-Lite Algorithmic Architecture: Applying Adaptive Control System Technology to Closed-Loop Traffic Signal Control Systems

2003 ◽  
Vol 1856 (1) ◽  
pp. 175-184 ◽  
Author(s):  
Felipe Luyanda ◽  
Douglas Gettman ◽  
Larry Head ◽  
Steven Shelby ◽  
Darcy Bullock ◽  
...  

ACS-Lite is being developed by FHWA to be a cost-effective solution for applying adaptive control system (ACS) technology to current, state-of-the-practice closed-loop traffic signal control systems. This effort is intended to make ACS technology accessible to many jurisdictions without the upgrade and maintenance costs required to implement ACS systems that provide optimized signal timings on a second-by-second basis. The ACS-Lite system includes three major algorithmic components: a time-of-day (TOD) tuner, a run-time refiner, and a transition manager. The TOD tuner maintains plan parameters (cycle, splits, and offsets) as the long-term traffic conditions change. The run-time refiner modifies the cycle, splits, and offsets of the plan that is currently running based on observation of traffic conditions that are outside the normal bounds of conditions this plan is designed to handle. The run-time refiner also determines the best time to transition from the current plan to the next plan in the schedule, or, like a traffic-responsive system, it might transition to a plan that is not scheduled next in the sequence. The transition manager selects from the transition methods built in to the local controllers to balance the time spent out of coordination with the delay and congestion that is potentially caused by getting back into step as quickly as possible. These components of the ACS-Lite algorithm architecture are described and the similarities and differences of ACS-Lite with state-of-the-art and state-of-the-practice adaptive control algorithms are discussed. Closed-loop control system characteristics are summarized to give the context in which ACS-Lite is intended to operate.

Author(s):  
Tetiana Pluhina ◽  
Oleksandr Yefymenko ◽  
Vladimir Suponyev ◽  
Nina Nikolaichuk

The task design of components of adaptive control system of conveyor transport was carried out. The analysis of existing researches and publications, in which the main problem is highlighted, namely that uncertainty and external conditions during operation leads to the need to introduce new components, functions of the actuator conveyor and ensuring the adaptation based on intelligent control. As a result of the existing researches analysis and publications, the purpose of research is set, namely: increasing the efficiency of the conveyor line control system by designing the components of the adaptive control system that implement the algorithm of adaptation in conditions of uncertainty. The concept of а multicriteria choice, set of indicators for assessing the properties of a design system and its total effect have been substantiated. The results of the research are as follows: structured the functions of adaptive systems; the basic modes of development of adaptive control systems and their realization in industrial conditions are set, for that purpose, the mathematical support for exposing the vagueness of control worked out by ACIT KHNADU is used; the principles of development of adaptive control systems, technical support and requirements produced to the basic components of system (subsystems) are proposed. The practical value lies in the fact that the choice of components control systems makes it possible to improve the accuracy and the possibility of data correction. The originality lies in the use of multicriteria evaluation method and parameter optimization. Models are universal, will allow to select a set of technical means of CT control system according to the selected criteria and restrictions of each type of elements.


Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1712
Author(s):  
Jožef Ritonja

The basic characteristic of batch bioreactors is their inability to inflow or outflow the substances during the fermentation process. This follows in the simple construction and maintenance, which is the significant advantage of batch bioreactors. Unfortunately, this characteristic also results in the inability of the current industrial and laboratory batch bioreactors to control fermentation production during the process duration. In some recent studies, it was shown that changing the temperature could influence the execution of the fermentation process. The presented paper shows that this phenomenon could be used to develop the closed-loop control system for the fermentation production control in batch bioreactors. First, based on theoretical work, experiments, and numerical methods, the appropriate structure of the mathematical model was determined and parameters were identified. Next, the closed-loop control system structure for batch bioreactor was proposed, and the linear and adaptive control system based on this structure and the derived and identified model were developed. Both modeling and adaptive control system design are new and represent original contributions. As expected, due to the non-linearity of the controlled plant, the adaptive control represents a more successful approach. The simulation and experimental results were used to confirm the applicability of the proposed solution.


Author(s):  
Fernando Valles-Barajas

In this paper a new model, based on state machines, of adaptive control systems is presented. Due to its high level of expressiveness, UML was chosen as the modeling language. In particular the paper presents a model of an indirect adaptive control system. This model can be used to document and to have a better understanding of adaptive control systems.


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