scholarly journals Effect of Dynamics Control Strategy on Performance of FSEC Racing Car

2021 ◽  
Vol 2095 (1) ◽  
pp. 012040
Author(s):  
Lingyue Ma

Abstract The control strategy of driving system for the distributed electric drive DRe20 car of Tongji University DIAN Racing team is developed and optimized according to the competition rules of Formula Student Electric China (FSEC). The VI-grade and Matlab Simulink cosimulation experimental platform is established to study the effects of different dynamic control strategies, such as equal distribution, open-loop electronic differential and limited slip differential, on the performance of the DRe20 racing car. The simulation platform is also used to optimize the control algorithm and the setting of different parameters in the program, then the results of simulation analysis and optimization are applied to the actual car experiment, providing a lot of reference data for the adjustment of suspension system and electronic control system of the DRe20 car. The simulation and actual test results show that the limited slip differential control strategy we developed and optimized in 2020 can give full play to the design performance of the DRe20 car, and the comprehensive performances have been improved compared with those in previous years. The optimized dynamics control strategy has been applied to Tongji DIAN Racing car during the 2020 Formula Student Electric China competition, in which Tongji DIAN Racing Team wins the championship.

2013 ◽  
Vol 860-863 ◽  
pp. 1754-1760
Author(s):  
Lei Yu ◽  
Qing Yang ◽  
You Tong Zhang

Natural gas has been one of the most important kinds of vehicle fuel since the discovery of abundant shale gas storage. Operating costs of diesel engine can be reduced by replacing diesel with diesel-CNG dual fuel. The present contribution is mainly about the electronic control system of diesel-CNG dual fuel engine. Hardware and software of the electronic control system were designed. Two control strategies named equivalent power control strategy and diesel-saving control strategy were put forward for different control targets. Furthermore, these two strategies were testified by experiments conducted on engine test bench. Results show that average natural gas replacement could up to 70%. Comparing with diesel engine, fuel consumption of diesel-CNG dual fuel engine can be reduced significantly and the power increases slightly also. Both power and economy performances of the engine are improved.


2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Jichao Bi ◽  
Xiaofan Yang ◽  
Yingbo Wu ◽  
Qingyu Xiong ◽  
Junhao Wen ◽  
...  

Disruptive computer viruses have inflicted huge economic losses. This paper addresses the development of a cost-effective dynamic control strategy of disruptive viruses. First, the development problem is modeled as an optimal control problem. Second, a criterion for the existence of an optimal control is given. Third, the optimality system is derived. Next, some examples of the optimal dynamic control strategy are presented. Finally, the performance of actual dynamic control strategies is evaluated.


2011 ◽  
Vol 64 (7) ◽  
pp. 1533-1539 ◽  
Author(s):  
C. Lacour ◽  
C. Joannis ◽  
M. Schuetze ◽  
G. Chebbo

This paper compares several real-time control (RTC) strategies for a generic configuration consisting of a storage tank with two overflow facilities. Two of the strategies only make use of flow rate data, while the third also introduces turbidity data in order to exercise dynamic control between two overflow locations. The efficiency of each strategy is compared over a wide range of system setups, described by two parameters. This assessment is performed by simulating the application of control strategies to actual measurements time series recorded on two sites. Adding turbidity measurements into an RTC strategy leads to a significant reduction in the annual overflow pollutant load. The pollutant spills spared by such a control strategy strongly depend on the site and on the flow rate based strategy considered as a reference. With the datasets used in this study, values ranging from 5 to 50% were obtained.


2014 ◽  
Vol 602-605 ◽  
pp. 962-965 ◽  
Author(s):  
Ji Gao Niu ◽  
Chun Hua Xu

The basic configuration and operation modes of the series extended-range electric vehicle were analyzed and a new method of engine choice and fuel economy evaluation was proposed. A co-simulation platform is set up with Cruise and Matlab/Simulink to evaluate the rule-based engine on-off and optimal operation line control strategies. The simulation results with typical driving cycles illustrate that: firstly, the engine on-off control strategy makes engine and generator operate on their best efficiency points, and its fuel economy is better than optimal operation line control strategy; secondly, when the optimal operation line control strategy is adopted in Extended-Range Mode, the engine downsizing will be beneficial and the extended-range electric vehicle (E-REV) will achieve a better fuel economy and control effect.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yajuan Guo ◽  
Licai Yang ◽  
Jun Gao

Exploring efficient control strategies for heterogeneously congested urban networks remains a big research challenge. The theory of macroscopic fundamental diagram (MFD) provides a new perspective for network-wide congestion control decisions. This paper proposes a coordinated perimeter control strategy for multiregion heterogeneous networks based on optimized transfer flows. First, a two-layer network partitioning method is presented to capture spatial heterogeneity dynamics of urban networks. For this partition, traffic flow equilibrium model based on MFD and multiagent based hierarchical traffic management scheme are built. Then, an improved multinomial logit model is developed for deriving optimized transfer flows among multiple congested regions. A coordinated perimeter control strategy using model predictive control is further proposed, which is aimed at tracking desired accumulations of each congested region. As a case study, the proposed control strategy is applied to the downtown network of Jinan, China, using simulation analysis. The results demonstrate that it can achieve balanced network flow distribution and increased mobility.


2014 ◽  
Vol 70 (4) ◽  
pp. 691-697 ◽  
Author(s):  
Javier Guerrero ◽  
Albert Guisasola ◽  
Juan A. Baeza

This work shows the development and the in silico evaluation of a novel control strategy aiming at successful biological phosphorus removal in a wastewater treatment plant operating in an A2/O configuration with carbon-limited influent. The principle of this novel approach is that the phosphorus in the effluent can be controlled with the nitrate setpoint in the anoxic reactor as manipulated variable. The theoretical background behind this control strategy is that reducing nitrate entrance to the anoxic reactor would result in more organic matter available for biological phosphorus removal. Thus, phosphorus removal would be enhanced at the expense of increasing nitrate in the effluent (but always below legal limits). The work shows the control development, tuning and performance in comparison to open-loop conditions and to two other conventional control strategies for phosphorus removal based on organic matter and metal addition. It is shown that the novel proposed strategy achieves positive nutrient removal results with similar operational costs to the other control strategies and open-loop operation.


2013 ◽  
Vol 683 ◽  
pp. 716-719
Author(s):  
Xiao Ming Hu ◽  
Wan Li Li

The whole vehicle was divided into eight pieces for establishing the semi-active suspension vehicle mode. The different fuzzy control strategies were designed according to the vertical, heeling and pitching movement of vehicle body. The vertical, heeling and pitching comprehensive vibration of the vehicle were reduced by controlling the output current of the magneto-rheological damper. Simulation analysis was operated with the parameters of a certain type of vehicle, the simulation results show that the method using the fuzzy control strategy can well improve the vehicle riding comfortableness, and its effect is superior to the optimal control.


2021 ◽  
Author(s):  
Davide Fiore ◽  
Fabio Della Rossa ◽  
Agostino Guarino ◽  
Mario di Bernardo

AbstractWe analyze the problem of controlling the dilution rate in a chemostat to regulate the ratio between the concentrations of two microbial populations growing in continuous culture. After analyzing the open-loop dynamics of this multicellular system, we present two alternative feedback control strategies, one based on a gain-scheduled state feedback controller, the other on a switching control strategy. We show that both strategies are effective in solving the problem and illustrate the results by a set of representative numerical simulation.


2006 ◽  
Vol 54 (8) ◽  
pp. 65-72 ◽  
Author(s):  
D. Vrecko ◽  
K.V. Gernaey ◽  
C. Rosen ◽  
U. Jeppsson

In this paper, implementation of the Benchmark Simulation Model No 2 (BSM2) within Matlab-Simulink is presented. The BSM2 is developed for plant-wide WWTP control strategy evaluation on a long-term basis. It consists of a pre-treatment process, an activated sludge process and sludge treatment processes. Extended evaluation criteria are proposed for plant-wide control strategy assessment. Default open-loop and closed-loop strategies are also proposed to be used as references with which to compare other control strategies. Simulations indicate that the BM2 is an appropriate tool for plant-wide control strategy evaluation.


Author(s):  
Carla Benea ◽  
Laura Rendon ◽  
Jesse Papenburg ◽  
Charles Frenette ◽  
Ahmed Imacoudene ◽  
...  

Abstract Objective: Evidence-based infection control strategies are needed for healthcare workers (HCWs) following high-risk exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2). In this study, we evaluated the negative predictive value (NPV) of a home-based 7-day infection control strategy. Methods: HCWs advised by their infection control or occupational health officer to self-isolate due to a high-risk SARS-CoV-2 exposure were enrolled between May and October 2020. The strategy consisted of symptom-triggered nasopharyngeal SARS-CoV-2 RNA testing from day 0 to day 7 after exposure and standardized home-based nasopharyngeal swab and saliva testing on day 7. The NPV of this strategy was calculated for (1) clinical coronavirus disease 2019 (COVID-19) diagnosis from day 8–14 after exposure, and for (2) asymptomatic SARS-CoV-2 detected by standardized nasopharyngeal swab and saliva specimens collected at days 9, 10, and 14 after exposure. Interim results are reported in the context of a second wave threatening this essential workforce. Results: Among 30 HCWs enrolled, the mean age was 31 years (SD, ±9), and 24 (80%) were female. Moreover, 3 were diagnosed with COVID-19 by day 14 after exposure (secondary attack rate, 10.0%), and all cases were detected using the 7-day infection control strategy: the NPV for subsequent clinical COVID-19 or asymptomatic SARS-CoV-2 detection by day 14 was 100.0% (95% CI, 93.1%–100.0%). Conclusions: Among HCWs with high-risk exposure to SARS-CoV-2, a home-based 7-day infection control strategy may have a high NPV for subsequent COVID-19 and asymptomatic SARS-CoV-2 detection. Ongoing data collection and data sharing are needed to improve the precision of the estimated NPV, and here we report interim results to inform infection control strategies in light of a second wave threatening this essential workforce.


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