Observer-based nonlinear control strategies for Hardware-in-the-Loop simulations of multiaxial suspension test rigs

Olma, Simon; Kohlstedt, Andreas; Traphöner, Phillip; Jäker, Karl-Peter; Trächtler, Ansgar

doi:10.1016/j.mechatronics.2017.10.007

Cited by 16 publications

(11 citation statements)

References 21 publications

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“…This emulation is often referred to (mechanical) Hardware-in-the-loop testing. Different application examples can be found in [10][11][12][13][14][15][16].…”

Section: Smart Dynamic Testingmentioning

confidence: 99%

Tuning and Emulation of Mechanical Characteristics – Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing

Millitzer

Hansmann

Lapiccirella

et al. 2021

Lecture Notes in Mechanical Engineering

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Numerical simulations offer a wide range of benefits, therefore they are widely used in research and development. One of the biggest benefits is the possibility of automated parameter variation. This allow testing different scenarios in a very short period of time. Nevertheless, physical experiments in the laboratory or on a test rig are still necessary and will still be necessary in the future. The physical experiments offer benefits e.g. for very complex and/or nonlinear systems and are needed for the validation of numerical models.Fraunhofer LBF has developed hardware solutions to bring the benefit of rapid and automated parameter variation to experimental environments. These solutions allow the tuning and emulation of the mechanical properties, like stiffness, damping and eigenfrequencies of structures.The work presents two approaches: First a stiffness tunable mount, which has been used in laboratory tests in the field of semi-active load path redistribution. It allowed the researcher to test the semi-active system under different mechanical boundary conditions in a short period of time. Second, a mechanical Hardware-in-the-loop (mHIL) approach for the NVH development of vehicles components is presented. Here a mHIL-system is used to emulate the mechanical characteristics of a vehicle’s body in white in a wide frequency range. This allows the experimental NVH optimization of vehicle components under realistic boundary conditions, without actually needing a (prototype) body in white.

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“…This emulation is often referred to (mechanical) Hardware-in-the-loop testing. Different application examples can be found in [10][11][12][13][14][15][16].…”

Section: Smart Dynamic Testingmentioning

confidence: 99%

Tuning and Emulation of Mechanical Characteristics – Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing

Millitzer

Hansmann

Lapiccirella

et al. 2021

Lecture Notes in Mechanical Engineering

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“…• Hong et al [31] apply a skyhook control strategy to yield better performances, considering a static damper model; • Du et al [16] use H ∞ control method for SA suspensions with MR dampers, with, once again, a purely static model; • Jeyasenthil and Choi [33] present a strategy based on quantitative feedback theory, using a first-order model for the damping force; • Olma et al [54] present an observer-based nonlinear control strategy for SA suspension control, but, once again, with purely static damper force model. • recently, Tudon-Martinez et al [70] discuss the influence of a good model in SA suspension control performance, for the case of MR dampers.…”

Section: Sa Suspension Control Workmentioning

confidence: 99%

Development of a simple ER damper model for fault-tolerant control design

Morato

Pham

Sename

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This work presents a concise control-oriented model for electro-rheological (ER) dampers. This model can serve for faulttolerant control purposes, considering automotive suspension performance enhancement. ER dampers present, basically, a resistance against shearing that varies according to a controlled electric field. The main purpose of this work is to describe the force dynamics delivered by these ER dampers with a simple/reduced-order model that catches its overall behaviour with accuracy. One of the key points in the proposed approach is to describe the dynamics of the controlled portion of the damper force as a first-order system. Synthetically, this study is twofold: (1) the first part is an analytical approach towards the dynamic modelling of the ER damper force, wherein a reduced-order model is obtained, parameters are identified, and validation results are presented; (2) the second analyses the possible faults on these dampers and incorporates their affect to the developed model, which is of paramount importance for diagnosis and reliability of suspension systems. Hence, the proposed model is adequate for the design and synthesis of fault detection and diagnosis/fault-tolerant control (FDD/FTC) schemes, being able to run fast in real time in embedded electronic control units, that usually operate within 1-10 ms. Throughout this study, simulation and experimental validation tests are performed on a real 1/5-scaled vehicle testbed. Model parameters are identified via relatively simple procedures performed in this testbed. Results are shown to illustrate how the model can be used for FDD and FTC of semi-active suspension systems. The overall results assess the ability and the accuracy of the proposed model to characterize the force delivered by ER dampers in both healthy and faulty conditions.

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“…In return to the actuator models, the HIL prototypes may be classified into simple and complex testbeds [126]. Simple prototypes incorporate elementary excitation units and models of low dynamics, where only linear control theories are applied.…”

Section: Hardware In the Loopmentioning

confidence: 99%

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

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The in‐vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra‐vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in‐vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow's intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in‐vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system‐level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real‐time analysis and computer‐aided‐design tools intervene in various phases along the in‐vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in‐vehicular communication.

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Observer-based nonlinear control strategies for Hardware-in-the-Loop simulations of multiaxial suspension test rigs

Cited by 16 publications

References 21 publications

Tuning and Emulation of Mechanical Characteristics – Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing

Tuning and Emulation of Mechanical Characteristics – Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing

Development of a simple ER damper model for fault-tolerant control design

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

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