Modeling and Design of Cruise Control System with Feedforward for all Terrian Vehicles

Sailan, Khaled; Kuhnert, Dieter

doi:10.5121/csit.2013.3828

Cited by 16 publications

(4 citation statements)

References 3 publications

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“…longitudinal, que modela forças e acelerações dentro de uma trajetória retilínea. Este modelo permite o desenvolvimento do sistema de "piloto automático"(cruise-control ) (Sailan and Kuhnert, 2013) e simulação do desempenho esperado para diferentes configurações de motor, massa, tamanho de roda e caixas de redução do veículo.…”

Section: Modelo Mec âNico Longitudinal De Um Ve íCulo El éTricounclassified

“…Para realizar a ligação entre o motor elétrico e o sistema mecânico deve-se modelar a caixa de redução do motor e como o torque elétrico se relaciona com o modelo mecânico. Sendo T e o torque eletromagnético da máquina, T red o torque após a redução, t red a taxa de redução do acoplamento e r o raio da roda motriz, tem-se: (Sailan and Kuhnert, 2013). O PI é configurado para que reaja de forma mais lenta, visando aumentar as discrepâncias entre os controladores e evitar grandes esforços no sistema mecânico.…”

Section: Modelo Mec âNico Longitudinal De Um Ve íCulo El éTricounclassified

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Análise Comparativa de Técnicas de Controle Direto de Torque e Controle Preditivo de Torque Aplicadas em Tração Elétrica

Santos

Figueiredo

Oliani

et al. 2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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This paper compares three direct control strategies por induction machines, analizing it's performance for electric vehicle tration. The stretegies analysed are DTC, DTC with PI controllers and PTC, driving an induction motor with a mechanical dinamic model of a vehicle as the load. Simulation shows that all controllers as suitable to use in EV traction, but the modulation results in better current THD and torque/flux ripple. Between the classic DTC and the PTC, the predictive controller is a better choice, with smaller THD and torque/flux ripple. Resumo: Este artigo compara três estrategias de controle direto de torque e fluxo para máquinas de indução trifásicas, analisando seu desempenho para o uso em tração de veículos elétricos. São analisados o DTC, DTC-PI e PTC, controlando um motor de indução com carga representada pelo modelo dinâmico mecânico de um veículo elétrico. Simulações mostram que os três controladores são eficazes para uso em tração de veículos, mas o emprego de modulador na saída do controlador apresenta vantagens em relação à qualidade e ripple de torque. Entre o DTC clássico e o PTC, o controlador preditivo se mostra uma melhor opção, com menores THD e ripples no torque e fluxo.

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Section: Modelo Mec âNico Longitudinal De Um Ve íCulo El éTricounclassified

Análise Comparativa de Técnicas de Controle Direto de Torque e Controle Preditivo de Torque Aplicadas em Tração Elétrica

Santos

Figueiredo

Oliani

et al. 2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

View full text Add to dashboard Cite

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“…The engine can be modeled by a first order transfer function with a variable response time. 40–43 A variable delay can also be added to this transfer function, which gives the following first order plus dead time (FOPDT) transfer function, equation (2):…”

Section: Tuning Of the Drivermentioning

confidence: 99%

Design and off-line tuning of a longitudinal driver model for EiL applications

Gilormini

Chessé

Tauzia

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Tightnening emission regulations and increasing powertrain complexity lead car manufacturers to rely on novel testing methods in order to frontload development. Among these, Engine-in-the-Loop, that is, the coupling of a physical internal combustion engine (ICE) on a testbed with a virtual environment, shows great promise for emission- and consumption-related tasks. In particular, this study focuses on the driver model, a simple yet crucial component of the virtual environment. A longitudinal driver model is developed in Simulink based on the PI-regulation structure and augmented with anti-windup, cycle preview, and takeoff strategy. While the PI approach is generally chosen in the literature, this study details the implementation of the added functions, and proposes a method for the gains of the model to be tuned in simulation by considering engine dynamics, and using several performance indicators. The virtual driver is then tested in a complete EiL setup simulating an electric hybrid driveline and shows satisfactory cycle-following and overall behavior on a WLTC. Robustness of the tuning method is also studied by varying vehicle parameters on the EiL bench.

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“…The control system of an EV has become a typical component of the cutting-edge vehicles for drivers' comfort in significant distance ventures and the security of the travelers by lessening the dangers of rapid mishaps. It is essentially speed control, which deals with the rules of battery and converter control as indicated by speed necessities [3]- [4].…”

Section: ░ 1 Introductionmentioning

confidence: 99%

Modelling of Electric Vehicle with PID Controller Transfer Function using GA and Model-Reduced Order DRA Algorithm

Pudi¹,

Sarma²,

Sura

et al. 2021

IJEER

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In this paper, a model of an electric vehicle transfer function using GA and a model-reduced order discrete time realization (DRA) algorithm is presented. The electric vehicle (EV) control system regulates vehicle speed according to the driver’s command signal and brings the vehicle to its equilibrium point, i.e., the desired speed under any abnormal conditions. The controller transfer function is designed based on EV's dynamic differential equations. An infinite-order transcendental transfer function for the EV model is approximated to find high-reliability discrete-time state-space reduced-order models (ROMs). Reduced the robustness and increased the predictions' accuracy of ROM output in terms of accurate numerical simulations of the EV transfer function. Also, the design of the PID controller parameter using optimization techniques (OT) for the tuning of conventional controllers for the desired speed is done using a linearized model. In this study, the performance of a conventional PID controller is compared with that of a GA-based PID controller. In terms of maximum overshoot, peak time, rising time, settling time, and steady state error, the simulation results show that the suggested controller is preferable.

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Modeling and Design of Cruise Control System with Feedforward for all Terrian Vehicles

Cited by 16 publications

References 3 publications

Análise Comparativa de Técnicas de Controle Direto de Torque e Controle Preditivo de Torque Aplicadas em Tração Elétrica

Análise Comparativa de Técnicas de Controle Direto de Torque e Controle Preditivo de Torque Aplicadas em Tração Elétrica

Design and off-line tuning of a longitudinal driver model for EiL applications

Modelling of Electric Vehicle with PID Controller Transfer Function using GA and Model-Reduced Order DRA Algorithm

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