Implementation of steering wheel angle sensor system with Controlled Area Network
06 Jul 2017-pp 54-60
TL;DR: A Steering Angle Sensor for a +-720° (a total of 4 complete turns) acquisition with the application of Giant Magnetic Resistance (GMR) sensors is described, which provides reliable and fast angle values.
Abstract: This Steering wheel angle sensor is most important component in automotive vehicle. For +/− 720°-degree rotation measurement of steering wheel need a special design, since conventional sensors measuring angle of rotation can measure only 360°. The steering wheel angle has to be resolved over the complete range at any time and the data should be available to the other subsystems which use this angle data available immediately after the system power on. In this paper describe a Steering Angle Sensor for a +-720° (a total of 4 complete turns) acquisition with the application of Giant Magnetic Resistance (GMR) sensors. For control tasks and further applications, the angle data need to be provided over a Binary Unit System (BUS) like Controlled Area Network to other system participants. This set-up provides reliable and fast angle values.
Citations
More filters
TL;DR: A critical review of advancements made in the area of non-contact angle sensing in the last two decades shows significant progress that has been achieved in the performance aspects of angle sensors, overcoming the challenges introduced by new and specific applications.
Abstract: This paper presents a critical review of advancements made in the area of non-contact angle sensing in the last two decades. Angular position sensing is an essential function in most of the engineering systems associated with industries such as automotive, robotics, process, and aircraft. The review shows significant progress that has been achieved in the performance aspects of angle sensors, overcoming the challenges introduced by new and specific applications. Progress is also visible in effectively utilizing the emerging allied technologies on the sensing and electronics field for the development of high-end angle sensors. As a part of the review, the important sensing techniques utilized for the angle sensors are identified and carefully looked at the advantages and limitations of those. Besides, the potential areas for improvements are also suggested. The important techniques employed to design and develop the angle sensors are based on capacitive, inductive, magneto-resistive, and optical schemes. Signal conditioning circuits, analog or digital, or a combination of it, are necessary to derive the best from the sensing elements. They play a vital role in the overall performance of the sensor. The review addresses the advancement in the sensing element, methodology, and signal conditioning aspect in detail. In this review, the important angle sensors reported are evaluated against the performance parameters such as range, resolution, linearity, accuracy, sensitivity, power consumption, complexity, cost, manufacturability, and reliability.
45 citations
Cites background or methods from "Implementation of steering wheel an..."
...The implementation of steering angle sensors using GMR sensing is presented in [73] and [82]....
[...]
..., steering wheel sensors [72], [73] and brake wear sensors [74]....
[...]
TL;DR: A Hall-effect-based sensor module consisting of a twin eccentric-disc rotating arrangement and a linearizing digital converter, which acts as an efficient interface for the transducer part, for sensing the angular position of a through shaft.
Abstract: This article presents a simple instrumentation system for sensing the angular position of a through shaft. The system, broadly, consists of two parts: 1) a Hall-effect-based sensor module (SM) consisting of a twin eccentric-disc rotating arrangement and 2) a linearizing digital converter (LDC), which acts as an efficient interface for the transducer part. The SM provides cubic-natured push-pull outputs with respect to the angle. The linearizer further accepts these signals, performs a voltage-to-frequency transformation, and then applies novel linearization function to render a linear direct-digital indication of the angle. The article discusses the design and theoretical modeling of the SM, and its characteristics are derived. The sensor characteristics observed from simulation are in agreement with theoretical studies. Simulations are also extended to study the effect of important mechanical/magnetic parameters of the SM. Optimal parameter values are also inferred from these studies. The LDC and associated methodologies are also studied and presented in the article. The performance of the instrumentation system is validated using a hardware model of the SM and a prototype of the LDC. The experimental results show that the sensor and linearizer work as expected. Interfacing tests show that the overall instrumentation system gives an accuracy of less than 0.4% and a resolution of 0.2° over a wide range.
4 citations
Cites background from "Implementation of steering wheel an..."
...Some representative scenarios where through-shaft anglesensing finds use are brake-wear estimation [3], steering wheel positioning [4] and pedal positioning [2]....
[...]
Posted Content•
TL;DR: The proposed vision based steering angle estimation system argues a new approach which basically matches the images of the road captured by an outdoor camera and the image of the steering wheel from an onboard camera, avoiding the burden of collecting model-dependent training data and the use of any other electromechanical hardware.
Abstract: Machine learning models, which are frequently used in self-driving cars, are trained by matching the captured images of the road and the measured angle of the steering wheel. The angle of the steering wheel is generally fetched from steering angle sensor, which is tightly-coupled to the physical aspects of the vehicle at hand. Therefore, a model-agnostic autonomous car-kit is very difficult to be developed and autonomous vehicles need more training data. The proposed vision based steering angle estimation system argues a new approach which basically matches the images of the road captured by an outdoor camera and the images of the steering wheel from an onboard camera, avoiding the burden of collecting model-dependent training data and the use of any other electromechanical hardware.
1 citations
Cites background from "Implementation of steering wheel an..."
...One of the modern systems that is based on Giant Magnetic Resistance (GMR) sensors (Zacharia et al., 2017) claims that one can measure the steering wheel angle reliably....
[...]
07 Oct 2022
TL;DR: In this article , the authors used machine learning approaches to detect false messages from the steering angle sensors or incorrect steering angle that is injected artificially into the Controller Area Network (CAN) bus of the car.
Abstract: Autonomous cars are smart vehicles that are capable of sensing their surroundings and navigating accordingly without or less human involvement. Such cars are vulnerable to different cyber-attacks and hijacks. The paper aims to use machine learning approaches to prevent cyber-attacks. The work aims to locate the false messages from the steering angle sensors or incorrect steering angle that is injected artificially into the Controller Area Network (CAN) bus of the car. The two approaches used to classify these false data are K-Nearest Neighbor (KNN) and Decision Tree algorithms. The paper uses a driving dataset, purposely inserts wrong values, pre-processing, and then classifies it. The results reveal that the used approaches detect incorrect values with an accuracy of up to 81.48% using KNN and 77.99% using Decision tree algorithms.
23 Sep 2022
TL;DR: In this paper , the steering wheel is used to move the vehicle in a certain direction, without the driver's assistance, which is a critical subsystem of a vehicle without which it would be difficult for the vehicle to continue its intended course.
Abstract: The development of Safety Transportation Systems (STS) offers the chance to use modern technology to transportation systems and techniques for more efficient, pleasant, and safe modes of transportation. Since the 1970s, the automotive industry has been primarily focused on road transportation, and more especially on the subject of intelligent cars, which covers the issue of autonomous vehicles. A vehicle's steering system is used to move the vehicle in a certain direction. This is a critical subsystem of a vehicle without which it would be difficult for the vehicle to continue its intended course. The classic steering system involved turning the front wheels in the desired direction. Power steering, on the other hand, was developed to assist drivers in driving vehicles by increasing in the effort of steering wheel. The addition of hydraulic or electric actuators to the steering system increases the system's controllable energy, requiring the driver to spend minimum effort regardless of the conditions. This article will go over how EPS can move the wheel without the driver's assistance, as well as lane maintaining and over/under steering correction.
References
More filters
15 Nov 2011
TL;DR: In this paper, the integrated giant magneto resistance (iGMR) based steering wheel angular sensor is developed and its mechanical design, hardware and software design and error analysis are concerned.
Abstract: In-wheel motor driven electric vehicle (EV) is one of the main aspects in EV development where the electronic differential should be solved first of all. How to obtain ±720° steering wheel angle is fatal to realize the electronic differential and then coordinating control of in-wheel motor driven EV. The integrated Giant Magneto Resistance (iGMR) based steering wheel angular sensor is developed in this paper and its mechanical design, hardware and software design and error analysis are concerned. The prototyped angular sensor verified the design and can be applied feasibly in in-wheel motor driven EV.
11 citations
01 Jul 2016
TL;DR: A sliding mode observer based estimation concept which provides signals to evaluate and improve perception and feel of the steering as experienced by the driver is presented.
Abstract: Electric power steering (EPS) systems assist the driver during manoeuvres by applying an additional steering torque generated by an electric motor. Although there are many advantages for electric actuated steering systems including fuel efficiency, they are known to deteriorate the feel of the steering as experienced by the driver. This paper presents a sliding mode observer based estimation concept which provides signals to evaluate and improve perception and feel of the steering as experienced by the driver. The proposed strategy is based on a physically motivated dynamic model of a power steering system and the measurements considered are typically available in any modern vehicle. The performance of the estimator is investigated using numerical simulation as well as experimental results obtained using a laboratory steering testbed.
8 citations
Journal Article•
TL;DR: iGMR based steering wheel angle sensor implementation which can be used as a rotation sensor to measure +/720° is described.
Abstract: Conventional angle sensors can measure only 360°,but passenger car steering wheel turns through +/-720 (a total of 4 complete turns). In this paper we describe iGMR based steering wheel angle sensor implementation which can be used as a rotation sensor to measure +/720°. KeywordSteering Wheel Angle Sensor, IGMR, Angle Sensor, GMR.
1 citations
"Implementation of steering wheel an..." refers background in this paper
...From the variation in two measured values and a lookuptable it is possible to determine the number ni the current number of revolutions of the sensor gear wheel i [1]....
[...]
...Since conventional angle of rotation sensors can measure only 360 , need a special design to acquire a complete range of +-720 [1]....
[...]