Coordinated Control Algorithm at Non-Recurrent Freeway Bottlenecks for Intelligent and Connected Vehicles

Stochastically fluctuating wind power has an escalating impact on the stability of power grid operations. To smooth out short- and long-term fluctuations, this paper presents a coordinated control algorithm using model predictive control (MPC) to manage a hybrid energy storage system (HESS) consisting of ultra-capacitor (UC) and lithium-ion battery (LB) banks. In the HESS-computing period, the algorithm minimizes HESS operating costs in the subsequent prediction horizon by optimizing the time constant of a flexible first-delay filter (FDF) to obtain the UC power output. In the LB-computing period, the algorithm keeps the optimal time constant of the FDF from the previous period to directly obtain the power output of the UC bank to minimize the power output of the LB bank in the next prediction horizon. A relaxation technique is deployed when the problem is unsolvable. Thus, the fluctuation mitigation requirements are fulfilled with a large probability even in extreme conditions. A state-of-charge (SOC) feedback control strategy is proposed to regulate the SOC of the HESS within its proper range. Case studies and quantitative comparisons demonstrate that the proposed MPC-based algorithm uses a lower power rating and storage capacity than other conventional algorithms to satisfy one-minute and 30-min fluctuation mitigation requirements (FMR).

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Researching on Distributed Coordinated Control Algorithm Based on the Urban Territorial Multi-Intersections

2009 International Symposium on Computer Network and Multimedia Technology ◽

10.1109/cnmt.2009.5374516 ◽

2009 ◽

Author(s):

Wei Li ◽

Li Zhou

Keyword(s):

Control Algorithm ◽

Coordinated Control

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Variable speed limit control at fixed freeway bottlenecks using connected vehicles

Transportation Research Part B Methodological ◽

10.1016/j.trb.2016.12.013 ◽

2017 ◽

Vol 98 ◽

pp. 113-134 ◽

Cited By ~ 41

Author(s):

Youngjun Han ◽

Danjue Chen ◽

Soyoung Ahn

Keyword(s):

Connected Vehicles ◽

Speed Limit ◽

Variable Speed ◽

Variable Speed Limit ◽

Freeway Bottlenecks ◽

Variable Speed Limit Control

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Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2011.2178836 ◽

2012 ◽

Vol 13 (1) ◽

pp. 81-90 ◽

Cited By ~ 332

Author(s):

Joyoung Lee ◽

Byungkyu Park

Keyword(s):

Control Algorithm ◽

Connected Vehicles ◽

Intersection Control

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Coordinated control of fuel flow rate and air flow rate of a supersonic heat-airflow simulated test system

The Aeronautical Journal ◽

10.1017/aer.2020.22 ◽

2020 ◽

Vol 124 (1278) ◽

pp. 1170-1189

Author(s):

C. Cai ◽

L. Guo ◽

J. Liu

Keyword(s):

Flow Rate ◽

Control Algorithm ◽

Air Flow ◽

Coordinated Control ◽

Test System ◽

Gas Temperature ◽

Air Flow Rate ◽

Flow Rates ◽

Fuel Flow ◽

Simulated Test

ABSTRACTThe gas temperature of the supersonic heat airflow simulated test system is mainly determined by the fuel and air flow rates which enter the system combustor. In order to realise a high-quality control of gas temperature, in addition to maintaining the optimum ratio of fuel and air flow rates, the dynamic characteristics of them in the combustion process are also required to be synchronised. Aiming at the coordinated control problem of fuel and air flow rates, the mathematical models of fuel and air supply subsystems are established, and the characteristics of the systems are analysed. According to the characteristics of the systems and the requirements of coordinated control, a fuzzy-PI cross-coupling coordinated control strategy based on neural sliding mode predictive control is proposed. On this basis, the proposed control algorithm is simulated and experimentally studied. The results show that the proposed control algorithm has good control performance. It cannot only realise the accurate control of fuel flow rate and air flow rate, but also realise the coordinated control of the two.

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