Selection Of Control Strategies Research Articles

Selective Control of Catalysts for Glycerol and Cellulose Hydrogenolysis to Produce Ethylene Glycol and 1,2-Propylene Glycol: A Review

The bioconversion of cellulose and the transformation of glycerol can yield various diols, aligning with environmental sustainability goals by reducing dependence on fossil fuels, lowering raw material costs, and promoting sustainable development. However, in the selective hydrogenolysis of glycerol to ethylene glycol (EG) and 1,2-propylene glycol (1,2-PG), challenges such as low selectivity of catalytic systems, poor stability, limited renewability, and stringent reaction conditions remain. The production of diols from cellulose involves multiple reaction steps, including hydrolysis, isomerization, retro-aldol condensation, hydrogenation, and dehydration. Consequently, the design of highly efficient catalysts with multifunctional active sites tailored to these specific reaction steps remains a significant challenge. This review aims to provide a comprehensive overview of the selective regulation of catalysts for producing EG and 1,2-PG from cellulose and glycerol. It discusses the reaction pathways, process methodologies, catalytic systems, and the performance of catalysts, focusing on active site characteristics. By summarizing the latest research in this field, we aim to offer a detailed understanding of the state-of-the-art in glycerol and cellulose conversion to diols and provide valuable guidance for future research and industrial applications. Through this review, we seek to clarify the current advancements and selective control strategies in diol production from glycerol or cellulose, thereby offering critical insights for future investigations and industrial scale-up.

Highly Selective Electrocatalytic CO2 Conversion to Tailored Products through Precise Regulation of Hydrogenation and C-C Coupling.

The electrochemical reduction reaction of carbon dioxide (CO2RR) into valuable products offers notable economic benefits and contributes to environmental sustainability. However, precisely controlling the reaction pathways and selectively converting key intermediates pose considerable challenges. In this study, our theoretical calculations reveal that the active sites with different states of copper atoms (1-3-5-7-9) play a pivotal role in the adsorption behavior of the *CHO critical intermediate. This behavior dictates the subsequent hydrogenation and coupling steps, ultimately influencing the formation of the desired products. Consequently, we designed two model electrocatalysts comprising Cu single atoms and particles supported on CeO2. This design enables controlled *CHO intermediate transformation through either hydrogenation with *H or coupling with *CO, leading to a highly selective CO2RR. Notably, our selective control strategy tunes the Faradaic efficiency from 61.1% for ethylene (C2H4) to 61.2% for methane (CH4). Additionally, the catalyst demonstrated a high current density and remarkable stability, exceeding 500 h of operation. This work not only provides efficient catalysts for selective CO2RR but also offers valuable insights into tailoring surface chemistry and designing catalysts for precise control over catalytic processes to achieve targeted product generation in CO2RR technology.

Complex Habitats Boost Predator Co-Occurrence, Enhancing Pest Control in Sweet Pepper Greenhouses

Sweet pepper is a crop that benefits from phytosanitary treatments with low environmental impact, especially the successful control of pests through the introduction of biological control agents in greenhouses. However, predators that naturally occur in these surroundings often enter greenhouses. The precise roles of these natural predators and their interactions with the introduced predatory insects and mites are often unknown. This study investigated the relationships between Nesidiocoris tenuis, which is naturally present, and Amblyseius swirskii and Orius laevigatus, which are two species of generalist predators released for the control of multiple pests. This study was conducted for two years on 13 commercial sweet pepper crops in various types of greenhouses (tunnels and traditional greenhouses) in Sicily. The environmental complexity value (ECV) for each site was estimated based on 18 points detected around the site according to the different habitats that occurred at each coordinate. The results showed that the occurrence of N. tenuis in greenhouses, independently of their typology (tunnel or traditional greenhouse), was mainly promoted by the greater diversification of habitats immediately surrounding the pepper crops (in a circular area with a diameter of 500 mt), with an increase in its density during the crop season. Moreover, N. tenuis–O. laevigatus’s co-occurrence in flowers suggested that they were not impacted by each other’s presence and that their co-occurrence had a significant effect on pest reduction, although their co-occurrence was density-dependent. As an intraguild predator, N. tenuis competed with O. laevigatus for Frankliniella occidentalis when many predators were present. In addition, N. tenuis also competed with A. swirskii when they both occurred in flowers at a higher density. This study highlights the importance of pepper plant flowers in promoting a higher occurrence of juvenile forms of N. tenuis within flowers. Amblyseius swirskii colonized the plants in 3 weeks, distributing itself almost uniformly over the leaves with a clear control action against not only Bemisia tabaci but also F. occidentalis when present on the flowers. Thus, this concurrent analysis of several commercial pepper sites within the same production area suggests that, even with similar pest control plans, the diverse variability in the presence of natural enemies must be considered when selecting control strategies for pepper crop pests and that N. tenuis, favored by complex surrounding habitats, contributes actively to pest reduction.

Voltage Support With PV Inverters in Low-Voltage Distribution Networks: An Overview

Large solar photovoltaic (PV) penetration using inverters in low voltage (LV) distribution networks may pose several challenges, such as reverse power flow and voltage rise situations. These challenges will eventually force grid operators to carry out grid reinforcement to ensure continued safe and reliable operations. However, smart inverters with reactive power control capability enable PV systems to support voltage quality in the distribution network better. This paper gives an overview of the current state-of-the-art control strategies for handling voltage problems through PV inverters and other devices. In addition, the (control) technical issues of PV systems integrated into the LV distribution network are considered from a control point of view. By comparing the control issues of PV integration into the grid, the paper aims to help distribution system operators to expand the volume of PV generation in the distribution system in an efficient and safe manner. Additionally, it will help control engineers and researchers select proper control strategies for PV systems as well as other distributed renewable sources.

Selective PQD Power Control Strategy for Single-Phase Grid-Following Inverters

This paper proposes the selective PQD power control strategy based on proportional-integral controllers devised in stationary <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">abc</i> -reference frame for single-phase <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">grid-following</i> inverters. Its physical behavior and mathematical model are presented in detail and the system output impedance is derived. It is shown that the proposed control accurately tracks active, reactive, and selective distortion power terms. Experimental results show that the proposed control strategy effectively rejects source disturbances, achieving low values of current distortion even under heavily distorted grid voltages. Stability analysis under stiff and weak grids and DC-link voltage control for photovoltaic applications are evaluated. It is also shown that the implemented technique requires 26% less execution time in the main interruption than conventional solutions using proportional-integral plus resonant controllers.

Total ammonia aeration control (TAAC) theory – An innovative ammonia-based aeration controller

Abstract Water resource recovery facilities (WRRFs) need optimized and robust solutions to ensure efficient and reliable operation for this critical environmental service. Secondary treatment aeration control is a prime example as the activated sludge treatment process consumes the largest amount of energy for WRRFs, which require oxygen to biologically remove the ammonia content through nitrification. The selected control strategy will directly impact system efficiency and ability to maintain discharge permit compliance levels. The use of an ammonia-based aeration controller has two major benefits for these systems: (1) cost savings, through minimization of energy usage, and (2) enhanced performance from a steady effluent ammonia concentration. These benefits come from an increase in the system biological kinetics. The process control improvements result in a higher rate of total nitrogen removal, via simultaneous nitrification/denitrification, through delivery of the minimum instantaneous oxygen necessary over time. The thesis contained herein is a novel controller algorithm, which leverages the relationship between primary input and output variables of this complex treatment process. The approach provides continuous output stability and a substantial reduction of the overall system costs, through decreased wear of large-budget equipment and by requiring fewer algorithm input data sources than any other possible solution.

Multiple Magneto-Optical Microrobotic Collectives with Selective Control in Three Dimensions Under Water.

Inspired by natural swarms, various methods are developed to create artificial magnetic microrobotic collectives. However, these magnetic collectives typically receive identical control inputs from a common external magnetic field, limiting their ability to operate independently. And they often rely on interfaces or boundaries for controlled movement, posing challenges for independent, three-dimensional(3D) navigation of multiple magnetic collectives. To address this challenge, self-assembled microrobotic collectives are proposed that can be selectively actuated in a combination of external magnetic and optical fields. By harnessing both actuation methods, the constraints of single actuation approaches are overcome. The magnetic field excites the self-assembly of colloids and maintains the self-assembled microrobotic collectives without disassembly, while the optical field drives selected microrobotic collectives to perform different tasks. The proposed magnetic-photo microrobotic collectives can achieve independent position and path control in the two-dimensional (2D) plane and 3D space. With this selective control strategy, the microrobotic collectives can cooperate in convection and mixing the dye in a confined space. The results present a systematic approach for realizing selective control of multiple microrobotic collectives, which can address multitasking requirements in complex environments.

Influence of pH and dissolved oxygen control strategies on the performance of pilot-scale microalgae raceways using fertilizer or wastewater as the nutrient source

Dissolved oxygen concentration and pH are controllable and cost-effective variables that determine the success of microalgae-related processes. The present study compares different control strategies for pH and dissolved oxygen in pilot-scale microalgae production systems. Two 80 m2 raceway reactors were used, one operated with freshwater plus fertilizer and the other with wastewater as the nutrient source. Both were in semi-continuous mode at a fixed dilution rate of 0.2 day−1. A comparison between the classical On-Off and more advanced pH control strategies, such as PI and Event-based control, was performed, focusing on biomass productivity and the influence of all the process parameters on microalgae growth; "No control" of pH was also assayed. The results show that Event-based control was the best algorithm when using freshwater plus fertilizer. In contrast, no significant differences were observed using the different control strategies when wastewater was the nutrient source. These experiments were performed through selective control strategy, prioritizing pH over dissolved oxygen; however, it was demonstrated that they did not allow to achieve satisfactory dissolved oxygen removal results, especially for the fertilizer system. After modifying the gas diffuser configuration and improving the mass transfer, independent on-off strategies have been developed, permitting effective control of both variables and increasing productivity by up to 20% in both systems. Concluding, a detailed analysis of the energy demand for each strategy implemented in terms of gas consumption and gas flow to biomass ratio is provided.

VSC control strategy for HVDC compensating harmonic components

This paper proposes a voltage source converter (VSC) control strategy for the high voltage direct current (HVDC) transmission systems compensating the harmonic components. For VSC-HVDC AC system accounted for a relatively large share of the 5th, 7th, 11th, 13th and other low harmonics. A selective harmonic current control strategy based on vector proportional integral (VPI) regulator in dq coordinate system is proposed on the basis of PI control. In which, PI is used to control the DC component of the current error, while VPI is used to suppress the multiplicative fluctuations of the current error. Unlike the proportional-integral resonant (PIR) regulator, the VPI contains a second-order numerator that achieves the ideal 0° phase delay of the closed-loop transfer function of the control system at the set resonant frequency point, so its control accuracy for harmonic currents is better than that of the PIR. A two-terminal VSC-HVDC system is built using Simulink software, and current compensation simulations are performed for three control methods: conventional PI, PIR and PI parallel VPI schemes. The superior harmonic suppression performance of VPI is verified by comparing the harmonic content.

Energy flexibility of building systems in future scenarios: optimization of the control strategy of a dynamic shading system and definition of a new energy flexibility metric

The growing awareness of climate change is constantly moving the attention of designers and policymakers from typical and current scenarios to future layouts. This new approach introduces a degree of uncertainty that should be accounted in the building design process. The multitude of possible scenarios suggests considering dynamic system that can adapt themselves to unpredicted operating conditions. The aim of this study is to test a new approach and a new flexibility metric analysing the behaviour of a high-performance dynamic internal curtain in current and future scenarios. The first part of the paper focuses on the optimization of the dynamic system in the current scenario; this preliminary analysis represents the traditional design approach and is considered the baseline for all the comparisons. Hence, defining a matrix of likely scenarios, this paper explores the behaviour of three different selected control strategies – always off (i.e., no curtain), fixed control, optimized control – in the different scenarios considering possible variations of i) climate, ii) urban context, iii) internal loads, and iv) building use. The main outcomes of the research are, on the one hand, the comparisons of the control strategies and the benefits of the dynamic system and, on the other hand, the definition of a new metric that can properly describe the flexibility of the building systems with reference to the future scenarios analysed. This metric is based on six classes – which describe the statistical distribution of the energy consumptions of all the scenarios simulated in the matrix – and an index called Energy Flexibility Index (EFI) that quantifies the flexibility of the technology considered. The case study analysed highlights how implementing a dynamic shading system, considering the same building use, can increase the EFI of nearly 21% for non-optimized control strategy and up to 23% when optimized. While changing the building use in residential reduces these values respectively, to 6% and 7%.

First Report of Fusarium oxysporum f. sp. vasinfectum causing Fusarium Wilt of Cotton in Kansas, U.S.A.

Fusarium wilt is one of the most devastating diseases of cotton (Gossypium spp.). It is caused by the soil-borne pathogen Fusarium oxysporum Schlechtend. f. sp. vasinfectum (Atk.) Snyd. & Hans (Atkinson, 1892). To date, eight races of F. oxysporum f. sp. vasinfectum have been reported worldwide based on their diverse genetics and reactions to the host (Cianchetta, et al. 2015). Fusarium wilt symptoms appear at all developing stages. The fungus enters through the roots and colonizes the vascular system, leading to discoloration and wilting (Davis et al. 2006). During a survey in the July 2021 growing season, cotton plants showing typical wilting symptoms, stem discoloration, and root rot (Fig. 1A and B) were observed in two cotton fields in Sumner County, Kansas. In order to confirm the causal agent, root tissues and lower parts of the stems were collected from 25 diseased cotton plants and cleaned as previously described by Larren et al, (2001). Small segments (1-2 cm) of roots and stems were incubated on potato dextrose agar (PDA) at room temperature. The isolates were purified with the single spore method and 23 of 25 isolates (92%) showed typical morphology of F. oxysporum, with a white-peach pigmentation as reported previously (Leslie and Summerell 2008). Two isolates, CK13B and CK18A, one from each of the two fields were selected, and genomic DNA was extracted with E.Z.N.A Fungal DNA Mini kit (Omega Bio-tek, Norcross, GA). Polymerase chain reaction (PCR) assays were performed as reported previously (Ortiz, et al. 2017) to amplify and sequence a portion of three nuclear genes: translation elongation factor (EF-1α), phosphate: H* symporter (PHO), and β-tubulin (BT). BLASTn analysis of CK13B sequences showed 93-98% identity with F. oxysporum f. sp. vasinfectum isolates originating from Australia, with 93.43% (1706/1826 pb) identity of EF-1α to isolate AuSeed14 (KT323873), 95.11% (1849/1944 bp) of PHO to isolate AuK24232 (KT323909), and 97.56% (1840/1886 bp) identity of BT to isolate AusSeed14 (KT323833). Sequences of CK13B for EF1-α, PHO, and BT genes were submitted to GenBank, accession no. of ON754247, ON754248, and ON754249, respectively. The CK18A isolate showed high identity with F. oxysporum f. sp. vasinfectum races 1, 2, and 6 lineage isolates (Ortiz et al., 2017), with 99.89% (1822/1824 bp) identity of the EF1-α gene to isolate CDR238 (KT323838) from Arkansas, 98.36% (1916/1948 bp) identity of the PHO gene to isolate CDR1131 (KT323887) from Louisiana and 98.78% (1864/1887 bp) identity of the BT gene to isolate ATCC36198 (KT323799) from Brazil. Sequences of the CK18A isolate were submitted to GenBank, accession no. ON651444, ON725043, and ON725044, respectively. Pathogenicity of both isolates was tested on G. hirsutum as previously described (Kim et al. 2005) with three replicates per isolate and a control treatment in a growth chamber. Briefly, cotton seedlings were maintained with 12 h light/dark cycle at 25-20 °C. At the first true leaf stage seedlings were uprooted, roots were cleaned by rinsing with sterile water then placed in a conidial suspension (1×106 conidia/ml) for 2 h while the healthy control seedlings were dipped in water only. Plants were put into sterile soil, and the results were observed and recorded every seven days for a period of 30 days. The inoculated plants showed the same symptoms as those observed in the fields, wilting, leaf chlorosis, and necrosis. Both isolates were re-isolated from the roots of the inoculated plants. DNA was extracted and used for PCR with the specific gene primers as listed above. The sequences matched those of the original isolates, completing the Koch's pustulates. To our knowledge, this is the first report of F. oxysporum f. sp. vasinfectum causing Fusarium wilt disease of cotton in Kansas. These results will help growers select cultivars and design disease control strategies accordingly (Davis, et al., 2006). Further work is needed to determine the specific races in the area.

A Novel Optimal Voltage Vector Selection Control Strategy for Vienna Rectifier

At present, model predictive control (MPC) is widely used in power electronic converters. The objective function is typically utilized to select the optimal voltage vector, but the switching frequency is not fixed or too high during the selection process. Therefore, to address this issue, a novel optimal voltage vector selection control strategy for Vienna rectifier is proposed in this paper. Specifically, hysteresis link is introduced into finite control set-model predictive direct power control (FCS-MPDPC). The optimization criterion is changed from the traditional objective function tracking error minimization to the longest extension step in the hysteresis loop. As a result, the switching frequency can be reduced and the control algorithm can be simplified by redefining the optimization criteria of the rectifier output voltage vector. Moreover, according to the power control model of Vienna rectifier, three-level space vector pulse width modulation (SVPWM) is used to generate the switching function for the next cycle. Finally, an experimental platform for Vienna rectifier based on dSPACE hardware is built to verify the feasibility of the proposed strategy. Experimental results show that the control strategy can ensure the rectifier to run normally and exhibit good steady state performance.

The economic burden of malaria: a systematic review

BackgroundQuantifying disease costs is critical for policymakers to set priorities, allocate resources, select control and prevention strategies, and evaluate the cost-effectiveness of interventions. Although malaria carries a very large disease burden, the availability of comprehensive and comparable estimates of malaria costs across endemic countries is scarce.MethodsA literature review to summarize methodologies utilized to estimate malaria treatment costs was conducted to identify gaps in knowledge.ResultsOnly 45 publications met the inclusion criteria. They utilize different methods, include distinct cost components, have varied geographical coverage (a country vs a city), include different periods in the analysis, and focus on specific parasite types or population groups (e.g., pregnant women).ConclusionsCost estimates currently available are not comparable, hindering broad statements on the costs of malaria, and constraining advocacy efforts towards investment in malaria control and elimination, particularly with the finance and development sectors of the government.

Selecting control strategies in projects of intangible outputs: empirical evidence from architectural and engineering design projects

PurposeProject managers rely on control strategies to deliver excellent outputs. However, little is known about how clients' project managers select control strategies in projects which are knowledge-intensive and have intangible outputs. This study aims to examine how clients' project managers select project control strategies in professional service projects.Design/methodology/approachA questionnaire survey of 360 architectural and engineering (A/E) design projects was adopted. Data were analyzed through the hierarchical regression.FindingsBoth clients' knowledge of measuring outcomes and process uncertainty give rise to their project managers setting up behavior and social controls. Level of process uncertainty positively moderates the impact of client's knowledge of measuring outcomes on outcome control.Research limitations/implicationsThis study mainly examined the client's knowledge of measuring outcomes and process uncertainties. Future studies could be conducted to expand the scope by including other contextual factors, for instance market and regulatory factors.Practical implicationsFrom the client side, if they want to simultaneously adopt outcome, behavior and social controls, they would need to increase their knowledge of measuring outcomes by adopting established assessment tools or appointing a third party to assist in design outcome evaluation.Originality/valueThis study contributes to the body of knowledge by showing that the level of intangibility of project outputs influences the types of control system which project managers adopt.

Improvement of the modeling of a hydraulic drive for exoskeleton application based on measurements

A hydraulic drive for the application to an upper limb exoskeleton is evaluated. The actuator supports the flexion of the elbow joint. The aim of the work is to analyse and characterise the electro-hydraulic drive for the application to the exoskeleton. Therefore, an evaluation of the relevant parameters of the drive is performed. These parameters are essential for the selected control strategy of the application.First, the electro-hydraulic drive is measured using a hydraulic circuit including a variable speed electric motor and a constant displacement axial piston pump producing the volumetric flow rate. The output flow characteristic of the drive is performed. A pump characterisation is derived for prescribing the motor current and knowing the corresponding volumetric pump output. A initial simulation model of the drive is compared to measurement results of the hydraulic circuit. Additional parameters are implemented into the simulation model of the pump and evaluated due to the improved simulation model, a model prediction control is possible. The measured input of the muscle tension of the wearer is taken as signal and depending on a given supporting factor the controller sets the motor current. The characterisation of the pump allows the controller to calculate the current signal of the motor in order to predict the resulting volumetric flow of the system.Second, the actuator is place onto an upper limb exoskeleton. The exoskeleton supports the elbow joint flexion during the load lifting process. The hydraulic cylinder is linked by a kinematic mechanism to the exoskeleton joint. Due to the known volumetric flow rate, depending on the motor current, the angular motion of the exoskeleton joint with the linked mechanism can be predicted. Using the signal of the muscle tension allows the setting of the exoskeleton force with the actuator input.

Finite‐time synchronization and identification of the Markovian switching delayed network with multiple weights

This paper focuses on finite-time synchronization and parameters identification in the Markovian switching complex delayed network with multiple weights. Considering the control cost required for network synchronization, finite-time control technique and pinning control strategy are adopted. Based on these methods, when finite-time synchronization of the network is achieved, the unknown parameters of the system can also be identified in finite time. In addition, in order to solve the problem of the network performance change caused by network topology switching, an Optimal Nodes Selection Control Strategy (ONSCS) is proposed. On the one hand, finite-time synchronization and identification of the network can be realized faster, on the other hand, it also further reduces the energy consumption and control cost of the network. Finally, two sets of comparative numerical simulations are given to prove the superiority and applicability of the proposed ONSCS.

Optimal mesh discretization of the dynamic programming for hybrid electric vehicles

The maximum fuel economy achievable by a hybrid electric vehicle (HEV) on a specific driving mission can be attained through the identification of the best admissible control policy. In the last years, the Dynamic Programming (DP) algorithm has proved to be capable of identifying the optimal policy once the definition of a proper computational grid is performed. As far as the refinement of the latter is concerned, the results produced by the selected control strategy can be negatively affected by a rough mesh due to approximation errors chains. Still, too fine a grid can lead to unreasonable CPU times. Hence, a method for automatically detecting the optimal mesh discretization with respect to different HEV simulations should be found. In the present paper, a self-adaptive statistical approach based on a proper management of any admissible battery energy variation is developed to significantly improve the calculation times required for HEV architectures while still attaining the best possible accuracy in terms of CO2 emissions as well as total cost of ownership (TCO). For the purpose, a low-throughput battery model has been taken into account so that the number of cells, the curve power limit and the energy content could be accounted for. The proposed method was tested on two parallel HEVs belonging to different categories, specifically a passenger car and a heavy-duty vehicle. The robustness of the method was also assessed for by testing the effects of a variation in the number of control variables within the simulation.

Research Progress of Exoskeleton for Hand Rehabilitation following stroke

Based on the hand rehabilitation exoskeleton, the research results of three driving modes in recent years, namely cable, connecting rod and pneumatic system, were classified, summarized and analyzed. Through research and analysis, the results of structural dimensions, structural degrees of freedom, drive selection scheme, control strategy and sensor selection scheme which are more suitable for human hand rehabilitation exoskeleton are obtained, which can provide reference for exoskeleton researchers.

Modeling and Optimal Tuning of Hybrid ESS Supporting Fast Active Power Regulation of Fully Decoupled Wind Power Generators

The frequency stability of the power system is challenged by the high penetration of power electronic interfaced renewable energy sources (RES). This paper investigates the improvements of the frequency response of fully decoupled wind power generators (FDWG) by proposing a novel generic model implementation of ultracapacitors (UC) within a hybrid scheme in real-time simulations of wind power plants. UCs are selected as ideal power sources in fast active power-frequency control due to their high power density and fast-reacting speed. Batteries and UCs combined hybrid energy storage systems (HESS) are formed to complement their characteristics. Droop-based and frequency derivative-based control and virtual synchronous power (VSP) are the selected control strategies to support power system frequency stability. The best trade-off between frequency performance and HESS cost is found by solving a proposed optimization problem formulation. The proposed optimization problem is used to define the HESS size and the controller parameters. The optimization results show how the fast active power-frequency response is enhanced by the fast UC power injection. It also shown that VSP leads to faster frequency support than the droop-based control and the frequency derivative control.

Representation and modeling of adaptive algorithms for control of transport systems in the form of finite hierarchical automata

Formulation of the problem. The article discusses the problem of planning transportation within the framework of one motor transport enterprise (ATP) on the basis of available vehicles (TS). The complexity of the task lies in the presence of restrictions on the ability to fulfill hotel orders with their own vehicles. The problem is also represented by the choice of a mechanism for distributing orders among the existing vehicles when setting various criteria for assessing the efficiency of the ATP for the planning period. The aim of the work is to build a formal model of algorithms for adaptive traffic management within the ATP's own vehicle fleet for modeling the process of transporting goods and assessing the effectiveness of the chosen strategy for various traffic flow schemes and flows of transportation orders. Results. There are many different adaptive algorithms for traffic management for a different vehicle fleet. Moreover, each algorithm has its own representation in the form of some formal scheme. The paper proposes a universal mechanism for describing the entire set of adaptive algorithms in the form of a finite state machine. In addition, when considering a multilevel scheme for representing the control structure of ATP, the article proposes a hierarchical automaton scheme for representing adaptive algorithms. Practical significance. The results obtained make it possible, when choosing a specific control algorithm, to construct a finite hierarchical automaton, which makes it possible to evaluate the effectiveness of the selected control strategy.