Automotive control systems Research Papers (original) (raw)

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- Software Engineering, Software Testing, Memory Management, Control Systems
- by David Abbink
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- Computer Vision, Mechanism Design, Behavior Analysis, Open Source
- by Luigi Glielmo
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- Mechanical Engineering, Gears, Manufacturing Engineering, Feedback
- by Sonam Motwani
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- Engineering, Optimal Control, Nonlinear Control, Mathematical Sciences
- by Riender Happee and +1
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- Mechanical Engineering, Applied Mathematics, Vehicle Dynamics, Coordinated Control of FACTS Devices
- by Jing Zhou and +3
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- Control Systems Engineering, Mathematics, Model Predictive Control, Control Systems

Advanced driver-assistance systems (ADAS) are becoming an essential part of the modern commercial automobile industry. Vehicle handling and stability are determined by the yaw rate and body slip of the vehicle. This paper is a comparative study of a nonlinear vehicle stability control algorithms for steering control based on two different controllers i.e. fuzzy logic based controller and PID controller. A full vehicle 14DOF model was made in Simulink to simulate an actual vehicle. The control algorithms are based on a two-track 7-DOF model with a non-linear tire model based on Pacejka "Magic tire formula", which was used to establish the desired response of a full vehicle 14DOF model. It was found that the fuzzy logic-based control algorithm demonstrated an overall superior performance characteristic than a PID based control algorithm; this includes a significant decrease in time lag and overshoot. The proposed control algorithms were validated through the co-simulation of Carsim and Simulink in real-time.

- by uma shankar lath
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- Engineering, Control Systems Engineering, Vehicle Dynamics, Automotive Industry
- by Selim Solmaz
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- Adaptive Control, Parameter estimation, Numerical Simulation, Center of Gravity

Even though rollover is unlikely as an automotive accident modality, it still merits serious concern. As part of the “New Car Assessment Program” (NCAP), the NHTSA rates vehicles for rollover resistance based on a mathematically derived figure of merit called the “Static Stability Factor” (SSF), plus the empirical results of a test procedure known as the “Fishhook Test”. The reliance on an expensive empirical procedure is mandated by the gross optimism of the use of the rigid model based SSF by itself. This author promised the development of an equation for estimation of the rollover acceleration that would be far superior to the SSF over 7 years ago during a discussion of SSF limitations in his paper “Mass Properties and Automotive Lateral Acceleration” (SAWE #3528, 2011, pp. 66-67). This rollover equation paper, now in its “Rev B” edition, represents the fulfillment of that promise.

- by Sean Brennan
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- Inertial navigation, Machine Vision, State Estimation, Kalman Filter
- by Aksan Ashari
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- Robust control, Control Design, Sliding mode control, Automotive control systems
- by Riender Happee and +1
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- Computer Vision, Mechanism Design, Behavior Analysis, Open Source
- by Halim Sam
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- Robust control, Control Design, Sliding mode control, Automotive control systems

The paper discusses several aspects of active safety control for automotive application. Particular emphasis is placed on the fuzzy logic determination of friction properties of a tyre‐road contact. An example of vehicle control systems equipped with off‐board sensors of road roughness, temperature, moisture and rain intensity demonstrates the implementation of this approach. The paper proposes conceptual solutions for preventive active

- by Barys Shyrokau
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- Fuzzy Logic, Intelligent Transport System, Transport, Vehicle dynamic control
- by Hong Chen
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- Control Engineering, Automotive control systems

“Fuel-flexible combustion control” strategies require accurate fuel composition information. A physics-based fuel blend fraction estimator for lean-burn combustion is used to assess the impact of uncertain variables on the estimator accuracy. For biodiesel blends in a diesel engine, the strategy is shown to be minimally affected by biodiesel feedstock variations, and expected fuel flow and oxygen sensor errors. However, observed airflow estimate errors are expected to lead to large estimator errors. When applied to ethanol blends, the estimator error is lower due to a higher stoichiometric mixture fraction for ethanol, and inherent differences in typical lean-burn gasoline engine operating conditions.

This paper describes a highly flexible component architecture, primarily designed for automotive control systems, that supports distributed dynamically-configurable context-aware behaviour. The architecture enforces a separation of... more

- by Jianbo Lu
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- Control Systems Engineering, Control Systems, Automotive control systems
- by Alberto Sangiovanni Vincentelli
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- Engineering, Embedded Systems, Hybrid, Embedded System Design

Sensor-based driver assistance systems often have a safety-related role in modern automotive designs. In this paper we argue that the current generation of Hardware in the Loop (HIL) simulators have limitations which restrict the extent... more

- by Tielong Shen
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- Optimal Control, Controller Design, Optimization Problem, Automotive Technology
- by Luis Olmos
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- Engineering, Adaptive Control, State Estimation, Nonlinear Observer
- by Alessandro di Gaeta and +1
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- Applied Mathematics, Control, Automotive Industry, Direct-Injection Gasoline Engines
- by Jörgen Hansson
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- Software Engineering, Data Management, Database Management, Real Time

Abstract: In this paper we present an adaptive controller implementation based on the multiple models, switching, and tuning (MMST) paradigm [13, 14, 15] for preventing un–tripped rollover in automotive vehicles. Our approach relies on differential-braking to keep the value of the Load Transfer Ratio (LT R) below a threshold. We first employ multiple models to infer the unknown center of gravity height and the suspension parameters of the vehicle, which are subsequently used to switch to the corresponding rollover controller. The proposed multi–controller switched scheme is shown via numerical simulations to result in better performance than its fixed robust counterpart.

- by Selim Solmaz
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- Engineering, Adaptive Control, Parameter estimation, Automotive control systems
- by Corneliu Lazar
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- Model Predictive Control, Stability, Automotive Engineering, Real Time Control

Electronic Anti-lock Braking Systems (ABS) have recently become a standard for all modern cars. ABS greatly improve the safety of a vehicle in extreme circumstances as they maximize the longitudinal tire-road friction, while keeping large... more

- by Gustavo Osorio
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- Control, Vehicle Dynamics, Structural Stability, Anti lock braking system

Mara Tanelliab*, Gustavo Osoriocd, Mario di Bernardoce, Sergio M. Savaresia and Alessandro Astolfifg aDipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy; bDipartimento di Ingegneria... more

- by Gustavo Osorio
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- Applied Mathematics, Hybrid Systems, Modeling, Control
- by Luis Olmos
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- Adaptive Control, State Estimation, Nonlinear Observer, Automotive control systems
- by David Abbink
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- Computer Vision, Mechanism Design, Behavior Analysis, Open Source
- by Richard Anthony and +1
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- Embedded Systems, Control system, Middleware, System Architecture

Flexural Mechanisms are being used for several applications like micro-manipulation, micro measurement, micro fabrication and so on. Flexures are compliant structures that rely on elasticity for their functionality resulting in smooth motion, small range of motion, and high resolution. This paper illustrates the design, development and system integration of flexural motion stage for precision applications. Parametric Modelling and analysis of flexural stage is carried out using FEA package
ANSYS. Developed flexural stage is integrated with desktop PC via dSAPCE DS1104 micro-controller. Further experimental system parameters are estimated (such as stiffness, damping factor, natural frequency) which are having close match with FEA results.
Keywords: motion stage, Finite Element Analysis, system identification, dSPACE DS1104.

In this work, high order sliding mode techniques are used to control an Anti-lock Brake System (ABS) which is assisted with an active suspension. The main objective is to modify the slip rate of a vehicle and ensure a shorter stopping distance in the braking process. The control system is designed in independent way for the ABS and the suspension subsystem. For the ABS subsystem a second order sliding mode controller is used. On the other hand, for the active suspension subsystem the supertwisting algorithm ...

... Authors Shoukry, Yasser; Elkharashi, Watheq; Elshafie, Mohamed; Hammad, Sherif. ... Shoukry, Y., El-Shafey, M. and Hammad, S., “Networked Embedded Generalized Predictive Controller for an Active Suspension System”, American Control... more

- by Yasser Shoukry
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- Automotive control systems

We present an industrial case study in automotive control of significant complexity: the new common rail fuel injection system for Diesel engines, currently under production by Magneti Marelli Powertrain. In this system, a flow–rate valve, introduced before the High Pressure (HP) pump, regulates the fuel flow that supplies the common rail according to the engine operating point. The standard approach followed in automotive control is to use a mean–value model for the plant and to develop a controller based on this model. In this particular case, this approach does not provide a satisfactory solution as the discrete–continuous interactions in the fuel injection system, due to the slow time–varying frequency of the HP pump cycles and the fast sampling frequency of sensing and actuation, play a fundamental role. We present a design approach based on a hybrid model of the Magneti Marelli Powertrain common–rail fuel–injection system for four-cylinder multi–jet engines and a hybrid approach to the design of a rail pressure controller. The hybrid controller is compared with a classical mean–value based approach to automotive control design whereby the quality of the hybrid solution is demonstrated.

- by Emanuel Hp
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- Applied Mathematics, High Pressure, Hybrid Systems, Modeling
- by Luis Olmos
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- Engineering, Adaptive Control, State Estimation, Nonlinear Observer

This paper describes the first results from the AutoMoDe project (Automotive Model-based Development), where an integrated methodology for model-based development of automotive control software is being developed. The results presented include a number of problem-oriented graphical notations, based on a formally defined operational model, which are associated with system views for various degrees of abstraction. It is shown how the

- by Bernhard Schätz
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- System Design, Case Study, Model based development, Management System
- by Pieter P Jonker
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- Image Processing, Robot Vision, Traffic control, Path planning
- by Rolf Ernst
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- Embedded Systems, Computer Hardware, Mobile Communication, Performance Analysis