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Rahimi, F. & Wikander, J. (2020). Concurrent and Optimal Structure, Control and Implementation Design. In: Proceedings of 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020: . Paper presented at IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020, Cape Town, 20-22 January 2020. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Concurrent and Optimal Structure, Control and Implementation Design
2020 (English)In: Proceedings of 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020, Institute of Electrical and Electronics Engineers (IEEE) , 2020Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Mechatronic system design includes a combination of different engineering disciplines. A common approach in design of mechatronic systems is based on a sequential method, where different disciplines are treated and designed separately. This paper extends earlier work on integrated physical and control design optimization with integrating an additional aspect of the corresponding embedded control system implementation. Our previous publications describe integrated design optimization through a few specific use cases but the impact of embedded control implementation on the structural design of the systems is neglected. In this paper, the approach is extended to cover discussions on control implementation and its effect on the physical dimensioning and vice versa. A multi-objective optimization approach is implemented and tested on a mechatronic system case study consisting of a DC-motor, a planetary gear, a flexible shaft, an embedded controller and a load. The couplings between the properties of different engineering domains are studied and highlighted. The presented approach which is aimed for early phases of design, considers the integration of three engineering disciplines in one design framework which so far has been missing.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2020
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-276826 (URN)10.1109/ICMIMT49010.2020.9041181 (DOI)000565046800017 ()2-s2.0-85083229283 (Scopus ID)
Conference
IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020, Cape Town, 20-22 January 2020
Note

Part of proceedings: ISBN 978-1-7281-5332-2

QC 20200623

Available from: 2020-06-17 Created: 2020-06-17 Last updated: 2022-06-26Bibliographically approved
Feng, L., Wikander, J. & Li, Z. (2020). Fuel Minimization of the Electric Engine CoolingSystem with Active Grille Shutter by IterativeQuadratic Programming. IEEE Transactions on Vehicular Technology, 69(3), 2621-2635, Article ID 8972544.
Open this publication in new window or tab >>Fuel Minimization of the Electric Engine CoolingSystem with Active Grille Shutter by IterativeQuadratic Programming
2020 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 69, no 3, p. 2621-2635, article id 8972544Article in journal (Refereed) Published
Abstract [en]

The electric engine cooling system with the active grille shutter requires intelligent and predictive control to reach its full benefits on fuel economy and thermal management. Conventional control methods regulate the coolant temperature to a fixed value but do not directly minimize the vehicle's fuel/energy consumption. By contrast, we design a fuel minimization controller through solving constraint nonlinear optimization problems, whose cost function is the total fuel consumption and constraints are the vehicle's physical limits. To achieve high computational efficiency and sufficient accuracy, the optimization problem is solved by iterative convex quadratic programming and quasilinearization. The advantages of the proposed control method on both fuel economy and engine thermal management are demonstrated by simulations.

Place, publisher, year, edition, pages
IEEE, 2020
Keywords
Fuel economy, engine cooling system, active grille shutter, quadratic programming, quasilinearization
National Category
Control Engineering
Research subject
Electrical Engineering; Vehicle and Maritime Engineering; Applied and Computational Mathematics, Optimization and Systems Theory
Identifiers
urn:nbn:se:kth:diva-268542 (URN)10.1109/TVT.2019.2962866 (DOI)000522456200023 ()2-s2.0-85082078762 (Scopus ID)
Projects
CONVENIENTXPRES
Funder
EU, FP7, Seventh Framework Programme, 312314XPRES - Initiative for excellence in production research
Note

QC 20200424

Available from: 2020-02-19 Created: 2020-02-19 Last updated: 2022-06-26Bibliographically approved
Liu, T., Feng, L., Hellgren, M. & Wikander, J. (2019). A Binary Controller to Ensure Engine Peak Efficiency for a Parallel Hybrid Electric Car. In: Proceedings 2019 IEEE Intelligent Transportation Systems Conference: . Paper presented at 2019 IEEE Intelligent Transportation Systems Conference - ITSC2019, Auckland, New Zealand 27-30 October (pp. 726-732). IEEE
Open this publication in new window or tab >>A Binary Controller to Ensure Engine Peak Efficiency for a Parallel Hybrid Electric Car
2019 (English)In: Proceedings 2019 IEEE Intelligent Transportation Systems Conference, IEEE, 2019, p. 726-732Conference paper, Published paper (Refereed)
Abstract [en]

The fuel efficiency of the hybrid electric vehicle (HEV) highly relies on the engine efficiency. Thispaper proposes a particular powertrain configuration on a small hybrid electric racing car wherethe engine is only allowed to operate withpeak efficiency. An onlinebinarycontroller, accordingly, is developedbased on dynamic programming (DP)to control the engine on/off status and the torques from the electric motors (EMs) to ensure the HEV can successfully complete the drive mission with minimal fuel consumption.For comparison, the paper also develops anoptimal powertrain controller of the same HEV with the normal usage ofthe engine, i.e., the engine operates at any feasible point of the 2Dfuel efficiency map. The simulation results show that this binary controller can improveroughly13% on fuel efficiency compared with the general engine case.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Hybrid electric vehicle, energy management control, engine peak efficiency, dynamic programming
National Category
Control Engineering
Research subject
Applied and Computational Mathematics, Optimization and Systems Theory; Vehicle and Maritime Engineering
Identifiers
urn:nbn:se:kth:diva-268543 (URN)10.1109/ITSC.2019.8917315 (DOI)000521238100116 ()2-s2.0-85076814115 (Scopus ID)9781538670248 (ISBN)
Conference
2019 IEEE Intelligent Transportation Systems Conference - ITSC2019, Auckland, New Zealand 27-30 October
Projects
Optimal Integration of Combustion Engines and Electric Motors for HEVs
Funder
XPRES - Initiative for excellence in production research
Note

QC 20200220

Available from: 2020-02-19 Created: 2020-02-19 Last updated: 2023-04-28Bibliographically approved
Bagchi, S., Mahmood Reza, K., Onori, M. & Wikander, J. (2018). Application of ZUPT-Aided INS to Indoor Localization of Tightening Tools. In: Procedia Manufacturing: . Paper presented at 8th Swedish Production Symposium, SPS 2018, 16 May 2018 through 18 May 2018 (pp. 565-569). Elsevier B.V.
Open this publication in new window or tab >>Application of ZUPT-Aided INS to Indoor Localization of Tightening Tools
2018 (English)In: Procedia Manufacturing, Elsevier B.V. , 2018, p. 565-569Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the application of zero velocity detectors in the field of indoor positioning for industrial tightening tools particularly in tandem with an extended Kalman filter to achieve reliable estimates in position. Inertial measurement units are promising devices to use in positioning systems. Data has been collected from IMU while moving in a predefined trajectory on a tightening test rig and post-processed in MATLAB using the implemented algorithms and the results are presented. They indicate that the error accumulation can be effectively controlled to 25 cm/min for the commercial grade IMU and 15 cm/min for the navigation grade IMU. 

Place, publisher, year, edition, pages
Elsevier B.V., 2018
Keywords
indoor positioning, inertial measurement unit, Kalman filter, sensor fusion, state estimation, zupt
National Category
Signal Processing Control Engineering
Identifiers
urn:nbn:se:kth:diva-282694 (URN)10.1016/j.promfg.2018.06.116 (DOI)000547903500072 ()2-s2.0-85065640994 (Scopus ID)
Conference
8th Swedish Production Symposium, SPS 2018, 16 May 2018 through 18 May 2018
Note

QC 20201007

Available from: 2020-10-07 Created: 2020-10-07 Last updated: 2022-06-25Bibliographically approved
Liu, T., Feng, L., Hellgren, M. & Wikander, J. (2018). Increasing Fuel Efficiency of a Hybrid Electric Competition Car by a Binary Equivalent Consumption Minimization Strategy. In: 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE): . Paper presented at 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE
Open this publication in new window or tab >>Increasing Fuel Efficiency of a Hybrid Electric Competition Car by a Binary Equivalent Consumption Minimization Strategy
2018 (English)In: 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

To improve the fuel efficiency of a hybrid electric car with special powertrain features racing in Shell Eco-marathon, a computationally efficient online control system is developed by solving hierarchical optimal control problems. The top-level computes the optimal velocity trajectory based on the given competition track in advance. The lower-level then finds the best instantaneous engine state and torque allocation by the equivalent consumption minimization strategy (ECMS). The special design of the competition car reduces the ECMS into a binary optimization problem. The new controller can run in real-time on low-cost microprocessors and improves the car's fuel efficiency by 50% while maintaining the state of charge of the electrical energy buffer.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Vehicle Engineering
Research subject
Machine Design
Identifiers
urn:nbn:se:kth:diva-240618 (URN)10.1109/COASE.2018.8560378 (DOI)000460536600001 ()2-s2.0-85059975846 (Scopus ID)978-1-5386-3593-3 (ISBN)
Conference
2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20220126

Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2023-04-28Bibliographically approved
Mahmood Reza, K., Wikander, J., Onori, M. & Maffei, A. (2018). Object-oriented design of product assembly feature data requirements in advanced assembly planning. Assembly Automation, 38(1), 97-112
Open this publication in new window or tab >>Object-oriented design of product assembly feature data requirements in advanced assembly planning
2018 (English)In: Assembly Automation, ISSN 0144-5154, E-ISSN 1758-4078, Vol. 38, no 1, p. 97-112Article in journal (Refereed) Published
Abstract [en]

Purpose - This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts' design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and sequence planning in assembly design. Design/methodology/approach - The assembly feature data requirements are studied and definitions are analyzed and redefined. Using object-oriented techniques, the assembly feature data structure and relationships are modeled based on the identified requirements as five UML packages (Part, three-dimensional (3D) models, Mating, Joint and Handling). All geometric and non-geometric design data entities endorsed with assembly design perspective are extracted or assigned from 3D models and realized through the featured entity interface class. The featured entities are then associated (used) with the mating, handling and joints features. The AssemblyFeature interface is realized through mating, handling and joint packages related to the assembly and part classes. Each package contains all relevant classes which further classify the important attributes of the main class. Findings - This paper sets out to provide an explanatory approach using object-oriented techniques to model the schema of assembly features association and artifacts at the product design level, all of which are essential in several subsequent and parallel steps of the assembly planning process, as well as assembly feature entity assignments in design improvement cycle. Practical implications - The practical implication based on the identified advantages can be classified in three main features: module-based design, comprehensive classification, integration. These features help the automation and solution development processes based on the proposed models much easier and systematic. Originality/value - The proposed schema's comprehensiveness and reliability are verified through comparisons with other works and the advantages are discussed in detail.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2018
Keywords
Automatic assembly, Object-oriented design, Assembly feature, Evolvable production system
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-222453 (URN)10.1108/AA-07-2016-084 (DOI)000423191400011 ()2-s2.0-85040059024 (Scopus ID)
Note

QC 20180209

Available from: 2018-02-09 Created: 2018-02-09 Last updated: 2024-03-18Bibliographically approved
Hasan, B. & Wikander, J. (2017). A review On Utilizing Ontological Approaches in Integrating Assembly Design and Assembly Process Planning. International Journal of Mechanical Engineering ( SSRG-IJME), 4(11), 5-16
Open this publication in new window or tab >>A review On Utilizing Ontological Approaches in Integrating Assembly Design and Assembly Process Planning
2017 (English)In: International Journal of Mechanical Engineering ( SSRG-IJME), ISSN 2348-8360, Vol. 4, no 11, p. 5-16Article in journal (Refereed) Published
Keywords
APP, Assembly design, Product design, Ontology, Manufacturing.
National Category
Engineering and Technology
Research subject
Production Engineering; Production Engineering; Machine Design
Identifiers
urn:nbn:se:kth:diva-221100 (URN)10.14445/23488360/IJME-V4I11P102 (DOI)
Note

QC 20180115

Available from: 2018-01-14 Created: 2018-01-14 Last updated: 2022-06-26Bibliographically approved
Mahmood Reza, K., Wikander, J., Bergseth, E., Maffei, A. & Onori, M. (2017). Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs. In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC): . Paper presented at International Conference on Mechanical, System and Control Engineering (ICMSC), MAY 19-21, 2017, St Petersburg, RUSSIA (pp. 343-347). IEEE
Open this publication in new window or tab >>Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs
Show others...
2017 (English)In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC), IEEE , 2017, p. 343-347Conference paper (Refereed)
Abstract [en]

This paper introduces the assembly feature data schema instance modeling to pre-examine the schema functionality and output- as the preliminary step for data modeling. In order to link assembly with product design, it is essential to determine which entities of product design are involved at the automated assembly planning and operations. It is possible to assign meaningful attributes (assembly features) to the part model entities in a systematic and structured way. Using object-oriented design, the assembly feature data structure and its relationships are modeled. As a part of the research on product and assembly system data integration within the evolvable production system platform, the instance models for proposed assembly feature data structure provide a deeper understanding and error reduction that might possibly occur at the development of the database. Moreover through instance modeling, the assembly feature data query output format from the database prototype is simulated. An industrial assembly model example with its 3DPart models is chosen to demonstrate the realized assembly feature data set with string data type. The models support the desired simplicity at the database prototype implementation. The output format envisions the interoperability factor between product models and the assembly planning systems.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
assembly automation, assembly modeling, assembly feature, instance modeling, unified modeling language
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-211425 (URN)10.1109/ICMSC.2017.7959498 (DOI)000405221400068 ()2-s2.0-85025826079 (Scopus ID)978-1-5090-6530-1 (ISBN)
Conference
International Conference on Mechanical, System and Control Engineering (ICMSC), MAY 19-21, 2017, St Petersburg, RUSSIA
Note

QC 20170802

Available from: 2017-08-02 Created: 2017-08-02 Last updated: 2022-06-27Bibliographically approved
Rahimi, F., Feng, L., Wikander, J. & Frede, D. (2017). Early phase design-optimization of mechatronic systems. In: ICCMA 2017 Proceedings of the 2017 The 5th International Conference on Control, Mechatronics and Automation: . Paper presented at 5th International Conference on Control, Mechatronics and Automation, ICCMA 2017, University of Alberta Edmonton, Canada, 11 October 2017 through 13 October 2017 (pp. 42-49). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Early phase design-optimization of mechatronic systems
2017 (English)In: ICCMA 2017 Proceedings of the 2017 The 5th International Conference on Control, Mechatronics and Automation, Association for Computing Machinery (ACM), 2017, p. 42-49Conference paper, Published paper (Refereed)
Abstract [en]

Methodologies on design optimization of mechatronic systems are usually based on consecutive methods, i.e., the procedure of physical design, control and optimization of a system is performed step by step to achieve the final goal. This paper is built upon previous works on developing a toolbox to integrate several engineering backgrounds in early design phase to avoid time and cost consuming iterations in later deign steps. The previous methodology was mainly applicable for linear one-degree of freedom systems without time-variant dynamics. In this paper, the method is upgraded towards covering concepts on nonlinear systems where extra degrees of freedom are added to the system. Additionally, the library of the mentioned toolbox is extended to include ball-screw drive and rotational rigid beam components in terms of physical design, dynamic and static models to examine the feasibility of the design. A conceptual nonlinear multi-degree design case is presented and linearized at specified operational points in the supported software framework and the implemented models are verified in both SimMechanics and Simulink.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017
Series
ACM International Conference Proceeding Series
Keywords
Design Optimization, IDIOM Framework, MIMO Systems, Nonlinear dynamics
National Category
Control Engineering
Identifiers
urn:nbn:se:kth:diva-224391 (URN)10.1145/3149827.3149838 (DOI)000843654800008 ()2-s2.0-85041913500 (Scopus ID)9781450353397 (ISBN)
Conference
5th International Conference on Control, Mechatronics and Automation, ICCMA 2017, University of Alberta Edmonton, Canada, 11 October 2017 through 13 October 2017
Note

QC 20201123

Available from: 2018-03-19 Created: 2018-03-19 Last updated: 2022-09-23Bibliographically approved
Hasan, B. & Wikander, J. (2017). Features Extraction from CAD as a Basis for Assembly Process Planning. In: CamarinhaMatos, LM ParreiraRocha, M Ramezani, J (Ed.), TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS: . Paper presented at 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, MAY 03-05, 2017, Costa de Caparica, PORTUGAL (pp. 144-153). SPRINGER-VERLAG BERLIN
Open this publication in new window or tab >>Features Extraction from CAD as a Basis for Assembly Process Planning
2017 (English)In: TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS / [ed] CamarinhaMatos, LM ParreiraRocha, M Ramezani, J, SPRINGER-VERLAG BERLIN , 2017, p. 144-153Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a novel approach to recognize product features, which are significant for Assembly Process Planning (APP). The work presented in this paper is a part of a larger effort to develop methods and tools for a more automated and bidirectional link between product CAD and the different processes and resources applied in APP. APP is the phase, in which the required assembly processes and resources are determined in order to convert a product to fully assembled or semi-assembled product. Product features will be extracted from the SolidWorks (SW) CAD file using SW- Application Programming Interface (API). SW-API is an interface that allows the exchange of data between CAD design and different software applications. The work includes automatic recognition for assembly knowledge, geometry and non-geometry knowledge (dimensions, geometrical tolerances, and kinematic constraints) in assembly design, which are relevant for assembly process and resources. Recognition algorithms have been developed by using visual basic. Net (VB.net). A case-study example is included for illustration of the proposed approach.

Place, publisher, year, edition, pages
SPRINGER-VERLAG BERLIN, 2017
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 499
Keywords
Features, Form features, Assembly Process Planning, CAD, SolidWorks, API
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-211429 (URN)10.1007/978-3-319-56077-9_13 (DOI)000425842300013 ()2-s2.0-85018184400 (Scopus ID)978-3-319-56076-2 (ISBN)
Conference
8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, MAY 03-05, 2017, Costa de Caparica, PORTUGAL
Note

QC 20170801

Available from: 2017-08-01 Created: 2017-08-01 Last updated: 2022-06-27Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7550-3134

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