A Model Predictive Approach for the Coordination of Powertrain Control Systems

2019 ◽  
Author(s):  
Stephanie Stockar ◽  
Cristian Rostiti ◽  
Marcello Canova ◽  
Michael Prucka
Keyword(s):  
Automotive Industry ◽  
Discrete Control ◽  
Control Algorithms ◽  
Control Engineering ◽  
Powertrain Control ◽  
Engineering Design Process ◽  
Powertrain System ◽  
Novel Approach ◽  
Automotive Powertrain ◽  
High Level

Abstract The design, calibration and integration of powertrain control algorithms has become significantly more complex in recent years, as the automotive industry faces increasing challenges in meeting consumer requirements and government regulations. Traditionally, the powertrain control engineering design process develops the engine and transmission controllers independently and then integrates them after an initial calibration. This process can lead to suboptimal performance and requires additional calibration and verification steps to improve the coordination of the various subsystems. This paper proposes a novel approach to achieve a systematic, high-level coordination, and optimization of the control strategy in an automotive powertrain system that will reduce overall calibration effort. Optimized set-points for engine and transmission controls are generated based on joint optimization of fuel consumption and drivability using Model Predictive Control to manage both continuous and discrete control variables. Simulation results confirm the control decisions made by the proposed coordinator match a well-calibrated production ECU with little tuning effort.

scholarly journals Multi-level Decomposed Systems Design: Converting a Requirement Specification into an Optimization Problem

2019 ◽  
Vol 1 (1) ◽  
pp. 3691-3700
Author(s):  
T. F. Beernaert ◽  
L. F. P. Etman
Keyword(s):  
Systems Engineering ◽  
Systems Design ◽  
Optimization Techniques ◽  
Analytical Target Cascading ◽  
Multiple Components ◽  
Engineering Design Process ◽  
Target Cascading ◽  
Automotive Powertrain ◽  
Multi Level ◽  
High Level

AbstractComplex technological artefacts are often decomposed into smaller components to keep their design manageable. The resulting challenge is to coordinate decisions that involve multiple components and to design components such that high-level targets are met. Analytical Target Cascading (ATC) is an analytical coordination method for the optimization of decomposed systems, which we aim to incorporate in systems engineering design process. To this extent, we relate the domain of engineering optimization to the domain of requirements engineering, and propose a method that constructs an ATC problem from functional specifications and requirements written in the newly developed Elephant Specification Language. The proposed method is demonstrated in the two-level design of an automotive powertrain. This contribution is a step towards design automation and is expected to increase the usability of decomposed optimization techniques.

Framework for Study of Supplier Relationships in Indian Automotive Supply Chains

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Souresh Bhattacharya ◽  
D. Mukhopadhyay ◽  
Sunil Giri
Keyword(s):  
Supply Chains ◽  
Automotive Industry ◽  
Supplier Management ◽  
Supplier Relationships ◽  
Technological Advances ◽  
Management Orientation ◽  
High Level ◽  
Supplier Partnerships ◽  
Automotive Supply ◽  
Supplier Relationship

Indian automotive industry has increasingly adopted global supply chain best practices including supplier relationship as a management imperative, in the last two decades. Increased competition, globalization, wide-spread outsourcing, use of information technology and rapid technological advances have contributed in supplier relationship development with the objective to achieve competitive advantage and a high level of performance. It is evident that only if mutual benefits accrue to both Vehicle Assemblers (VA) and their suppliers, the partnership between them would be meaningful and effective. Also, VAs have necessarily, to invest considerable resources and effort in achieving collaboration with their suppliers and cost-effectiveness becomes an issue which leads to supply base rationalization and a segmented approach. Therefore understanding the issues involved and identifying focus areas for successful supplier relationships becomes an imperative. This paper, based on an exploratory study, delves into the VA-supplier interface in Indian automobile supply chains, examines various theoretical and practical dimensions, in order to identify strategic imperatives (key impact drivers), Supplier Management Orientation (SMO) of VAs, adoption of Supplier Development Practices, extent of VA-supplier partnerships and mutual benefits accruing to both entities. Based on this a framework for holistically studying the VA-supplier interface is proposed.

scholarly journals Towards a contemporary player learning in development framework for sports practitioners

2021 ◽  
pp. 174795412110023
Author(s):  
Mark O Sullivan ◽  
Carl T Woods ◽  
James Vaughan ◽  
Keith Davids
Keyword(s):  
Linear Process ◽  
Task Environment ◽  
Coach Education ◽  
Development Framework ◽  
Novel Approach ◽  
Non Linear ◽  
And Performance ◽  
Learning Development ◽  
High Level ◽  
User Friendly

As it is appreciated that learning is a non-linear process – implying that coaching methodologies in sport should be accommodative – it is reasonable to suggest that player development pathways should also account for this non-linearity. A constraints-led approach (CLA), predicated on the theory of ecological dynamics, has been suggested as a viable framework for capturing the non-linearity of learning, development and performance in sport. The CLA articulates how skills emerge through the interaction of different constraints (task-environment-performer). However, despite its well-established theoretical roots, there are challenges to implementing it in practice. Accordingly, to help practitioners navigate such challenges, this paper proposes a user-friendly framework that demonstrates the benefits of a CLA. Specifically, to conceptualize the non-linear and individualized nature of learning, and how it can inform player development, we apply Adolph’s notion of learning IN development to explain the fundamental ideas of a CLA. We then exemplify a learning IN development framework, based on a CLA, brought to life in a high-level youth football organization. We contend that this framework can provide a novel approach for presenting the key ideas of a CLA and its powerful pedagogic concepts to practitioners at all levels, informing coach education programs, player development frameworks and learning environment designs in sport.

scholarly journals Deep Reinforcement Learning for End-to-End Local Motion Planning of Autonomous Aerial Robots in Unknown Outdoor Environments: Real-Time Flight Experiments

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2534
Author(s):  
Oualid Doukhi ◽  
Deok-Jin Lee
Keyword(s):  
Reinforcement Learning ◽  
Real Time ◽  
Autonomous Navigation ◽  
Control Technique ◽  
Local Motion ◽  
Aerial Robots ◽  
Novel Approach ◽  
Outdoor Environments ◽  
Aerial Vehicle ◽  
High Level

Autonomous navigation and collision avoidance missions represent a significant challenge for robotics systems as they generally operate in dynamic environments that require a high level of autonomy and flexible decision-making capabilities. This challenge becomes more applicable in micro aerial vehicles (MAVs) due to their limited size and computational power. This paper presents a novel approach for enabling a micro aerial vehicle system equipped with a laser range finder to autonomously navigate among obstacles and achieve a user-specified goal location in a GPS-denied environment, without the need for mapping or path planning. The proposed system uses an actor–critic-based reinforcement learning technique to train the aerial robot in a Gazebo simulator to perform a point-goal navigation task by directly mapping the noisy MAV’s state and laser scan measurements to continuous motion control. The obtained policy can perform collision-free flight in the real world while being trained entirely on a 3D simulator. Intensive simulations and real-time experiments were conducted and compared with a nonlinear model predictive control technique to show the generalization capabilities to new unseen environments, and robustness against localization noise. The obtained results demonstrate our system’s effectiveness in flying safely and reaching the desired points by planning smooth forward linear velocity and heading rates.

scholarly journals Benchmark of Rotor Position Sensor Technologies for Application in Automotive Electric Drive Trains

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1063 ◽  
Author(s):  
Christoph Datlinger ◽  
Mario Hirz
Keyword(s):  
Evaluation Criteria ◽  
Position Sensor ◽  
Permanent Magnet Synchronous Machines ◽  
Rotor Position ◽  
Powertrain Control ◽  
Alternative Technologies ◽  
Traction Motors ◽  
Drive Trains ◽  
Automotive Powertrain ◽  
Electric Powertrains

Rotor shaft position sensors are required to ensure the efficient and reliable control of Permanent Magnet Synchronous Machines (PMSM), which are often applied as traction motors in electrified automotive powertrains. In general, various sensor principles are available, e.g., resolvers and inductive- or magnetoresistive sensors. Each technology is characterized by strengths and weaknesses in terms of measurement accuracy, space demands, disturbing factors and costs, etc. Since the most frequently applied technology, the resolver, shows some weaknesses and is relatively costly, alternative technologies have been introduced during the past years. This paper investigates state-of-the-art position sensor technologies and compares their potentials for use in PMSM in automotive powertrain systems. The corresponding evaluation criteria are defined according to the typical requirements of automotive electric powertrains, and include the provided sensor accuracy under the influence of mechanical tolerances and deviations, integration size, and different electrical- and signal processing-related parameters. The study presents a mapping of the potentials of different rotor position sensor technologies with the target to support the selection of suitable sensor technologies for specified powertrain control applications, addressing both system design and components development.

scholarly journals A control engineering approach to understanding the TGF-β paradox in cancer

2011 ◽  
Vol 9 (71) ◽  
pp. 1389-1397 ◽  
Author(s):  
Seung-Wook Chung ◽  
Carlton R. Cooper ◽  
Mary C. Farach-Carson ◽  
Babatunde A. Ogunnaike
Keyword(s):  
Cancer Cells ◽  
Mechanistic Model ◽  
Tumour Suppressor ◽  
Cancer Tissue ◽  
Control Engineering ◽  
Cellular Processes ◽  
Proliferation And Apoptosis ◽  
High Level ◽  
Quantitative Explanation

TGF-β, a key cytokine that regulates diverse cellular processes, including proliferation and apoptosis, appears to function paradoxically as a tumour suppressor in normal cells, and as a tumour promoter in cancer cells, but the mechanisms underlying such contradictory roles remain unknown. In particular, given that this cytokine is primarily a tumour suppressor, the conundrum of the unusually high level of TGF-β observed in the primary cancer tissue and blood samples of cancer patients with the worst prognosis, remains unresolved. To provide a quantitative explanation of these paradoxical observations, we present, from a control theory perspective, a mechanistic model of TGF-β-driven regulation of cell homeostasis. Analysis of the overall system model yields quantitative insight into how cell population is regulated, enabling us to propose a plausible explanation for the paradox: with the tumour suppressor role of TGF-β unchanged from normal to cancer cells, we demonstrate that the observed increased level of TGF-β is an effect of cancer cell phenotypic progression (specifically, acquired TGF-β resistance), not the cause . We are thus able to explain precisely why the clinically observed correlation between elevated TGF-β levels and poor prognosis is in fact consistent with TGF-β's original (and unchanged) role as a tumour suppressor.

scholarly journals Reconnecting a Fragmented Monument through Digital Mapping: The City Walls of Athens

2019 ◽  
Vol 2 (2) ◽  
pp. 177-195
Author(s):  
Markos Katsianis ◽  
Stamatina Lampraki ◽  
Anna-Maria Theocharaki ◽  
Maria Pigaki ◽  
Leda Costaki ◽  
...  
Keyword(s):  
Digital Media ◽  
Archaeological Sites ◽  
Geospatial Technologies ◽  
Archaeological Investigation ◽  
Digital Mapping ◽  
Cadastral Maps ◽  
Novel Approach ◽  
City Walls ◽  
High Level ◽  
The City

The fortifications of Athens have been a recurrent theme of archaeological investigation. In the past two centuries, parts of the walls have been located during rescue interventions at numerous sites in the urban fabric. At present, the visibility of the entire monument remains rather low as the traces of the walls are hidden beneath the modern city, marginalized within larger archaeological sites or preserved entirely by record. Despite the high level of scholarly work devoted to synthesize the available material, the volume of information accumulated over the years requires a novel approach that would systematize different types of evidence using digital media. In this respect, we attempt to revisit the city walls of Athens through the use of geospatial technologies. We target the informed development of an efficient GIS platform to record, store, integrate, explore and eventually disseminate resources on the Athenian fortifications. Our research employs published and archival sources (e.g. excavation drawings) in combination with historical maps (e.g. early cadastral maps, first maps of modern Athens) and complementary historical evidence (e.g. writings, illustrations, photography) to locate, document and integrate in space and time available data on lost and surviving fortification remains.

Design and development of a novel autonomous scaled multiwheeled vehicle

Robotica ◽  
2021 ◽  
pp. 1-26
Author(s):  
Aaron Hao Tan ◽  
Michael Peiris ◽  
Moustafa El-Gindy ◽  
Haoxiang Lang
Keyword(s):  
Autonomous Navigation ◽  
Visual Servoing ◽  
Control Algorithms ◽  
Road Vehicles ◽  
Design And Development ◽  
Passenger Vehicles ◽  
Wheel Drive ◽  
Research Platform ◽  
High Level ◽  
Path Planner

Abstract This article proposes the design and development of a novel custom-built, autonomous scaled multiwheeled vehicle that features an eight-wheel drive and eight-wheel steer system. In addition to the mechanical and electrical design, high-level path planning and low-level vehicle control algorithms are developed and implemented including a two-stage autonomous parking algorithm is developed. A modified position-based visual servoing algorithm is proposed and developed to achieve precise pose correction. The results show significant gains in accuracy and efficiency comparing with an open-source path planner. It is the aim of this work to expand the research of autonomous platforms taking the form of commercial and off-road vehicles using actuated steering and other mechanisms attributed to passenger vehicles. The outcome of this work is a unique autonomous research platform that features independently driven wheels, steering, autonomous navigation, and parking.

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