Emulator-based control for actuator-based hardware-in-the-loop testing

Gawthrop, P.J.; Virden, DW; Neild, Simon A; Wagg, DJ

doi:10.1016/j.conengprac.2007.10.009

Cited by 34 publications

(28 citation statements)

References 43 publications

(45 reference statements)

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“…It was also found that in the forward‐control cases, when c 1 was reduced further, such that eig( A N11 ) = − c 1 / m 1 was very close to the imaginary axis, N2‐SSLSC tended to easily cause instability, whereas N1‐SSLSC remained stable. The unstable results corresponded to the finding in , which specifically stated that lower damping within Σ N1 had significant influence on the DSS stability. However, this study has provided a more general conclusion (or index) to determine the DSS performance: small damping of c 1 , large mass of m 1 , slow G TS or, in general, slow subeig, degrades the DSS stability and performance.…”

Section: Discussionsupporting

confidence: 82%

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Substructurability and exact synchronisation analysis

Jiang

2013

Struct. Control Health Monit.

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SUMMARY A numerical‐substructure‐based framework for the synthesis of substructured dynamics, substructurability, and exact synchronisation controllers using state‐space methods is presented in this paper. Substructurability is used to analyse the dynamic properties of numerical substructures and transfer systems, on the basis of controllability, substructured eigenvalue, and condition number techniques. Exact synchronisation controllers are designed under the assumptions of unknown parameters of the tested components and are used to achieve a higher level of synchronisation over the transient state. Implementation studies present a synchronised‐component‐based approach for the controller design and also verify that (1) substructured eigenvalues provide a general indicator to predict stability and performance in advance and (2) slow substructured eigenvalues due to low damping or large mass within a numerical substructure tend to yield ineffective and inefficient tests. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Discussionsupporting

confidence: 82%

“…In addition, {B Ni1 , B Nd1 } in (25) may not be null. The higher dimensions of {A N12 , B Ni1 , B Nd1 } and x N2 can complicate the synthesis of typical NB controllers of (9)- (12).…”

Section: The Numerical-substructure-based Substructured Framework Anmentioning

confidence: 99%

Substructurability and exact synchronisation analysis

Jiang

2013

Struct. Control Health Monit.

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“…[31,32]). It is noted that in the DSS literature, Σ N1 , including low damping and large mass, tends to cause unstable tests [14,16,33]. This phenomenon is rationalized herein, by considering the combined numerical and dynamic properties of Σ N1 .…”

Section: Further Discussion On Adaptive Forward Prediction Control Anmentioning

confidence: 99%

Modelling and control issues of dynamically substructured systems: adaptive forward prediction taken as an example

Hsiao

Chen

2014

Proc. R. Soc. A.

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Testing techniques of dynamically substructured systems dissects an entire engineering system into parts. Components can be tested via numerical simulation or physical experiments and run synchronously. Additional actuator systems, which interface numerical and physical parts, are required within the physical substructure. A high-quality controller, which is designed to cancel unwanted dynamics introduced by the actuators, is important in order to synchronize the numerical and physical outputs and ensure successful tests. An adaptive forward prediction (AFP) algorithm based on delay compensation concepts has been proposed to deal with substructuring control issues. Although the settling performance and numerical conditions of the AFP controller are improved using new directcompensation and singular value decomposition methods, the experimental results show that a linear dynamics-based controller still outperforms the AFP controller. Based on experimental observations, the least-squares fitting technique, effectiveness of the AFP compensation and differences between delay and ordinary differential equations are discussed herein, in order to reflect the fundamental issues of actuator modelling in relevant literature and, more specifically, to show that the actuator and numerical substructure are heterogeneous dynamic components and should not be collectively modelled as a homogeneous delay differential equation.

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“…The hardware-in-the-loop method to study the ABS can avoid some defects of the pure simulation, e.g., low precision, lack of intuition and high risk. This joint simulation combines software and real vehicles to greatly improve the experiment authenticity [4,5].…”

Section: Introductionmentioning

confidence: 99%

Study on the Stability of High-Speed Turning Braking Based on the Hardware-in-the-Loop Test

Lü

et al. 2018

Teh. vjesn.

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During the tire cornering braking process, busses easily cause traffic accidents such as slewed or tail flick if the tire is not locked. Therefore, in the process of cornering braking, the theoretical controlled slip rate of approximately 0.2 is not sufficient. To improve the stability of the vehicle, the Hardware-in-the-Loop Test is introduced. The fuzzy PID algorithm is used to calculate the tire slip rate of four tires using the actual yaw velocity and sideslip angle values and the expected difference among the values. The high-speed vehicle was tested on high-and low-adhesion roads. The study shows that this method outputs the new slip rate, improves the vehicle stability in the loss of braking efficiency, further perfects the study of the antilock braking system and has practical significance.

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Emulator-based control for actuator-based hardware-in-the-loop testing

Cited by 34 publications

References 43 publications

Substructurability and exact synchronisation analysis

Substructurability and exact synchronisation analysis

Modelling and control issues of dynamically substructured systems: adaptive forward prediction taken as an example

Study on the Stability of High-Speed Turning Braking Based on the Hardware-in-the-Loop Test

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