Optimal robust control of a contactless brake system using an eddy current

In this paper, we propose an identification and control method for a control stage with eddy current. The proposed method is that we first obtain the system parameters using an adaptive algorithm and then we design a model-based controller to achieve good performance. The detailed theoretical analysis is given. The experimental results show that the proposed method can guarantee the parameter convergence and improve the control performance.

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“…Let us see how to calculate the eddy current force. According to the reference [10], the eddy current phenomenon is based on the relation …”

Section: (A) and (B)mentioning

confidence: 99%

Damping estimation and control of a contactless brake system using an eddy current

et al. 2010

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“…Their model was based on Wouterse's (1991) experimental results. Lee and Park (1999, 2001, 2002 presented a number of papers on the optimal robust control of an ECB system. The principal focus of these papers was an enhanced parametric model for the eddy current brake system to facilitate the design of torque-based automotive control systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

Torque characteristics analysis for optimal design of a copper-layered eddy current brake system

Anwar

Stevenson²

2011

Int.J Automot. Technol.

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An enhanced parametric model for a copper-layered eddy current electric machine (retarder) is introduced in this paper. The modeled torque characteristics of the copper-layered electromagnetic retarders are based on the results from a detailed electromagnetic finite element analysis (FEA) of these eddy current machines. The model uses a parameterized double-exponential function to model the steady state speed-torque characteristics of the retarder. The parameters are adjusted for optimal braking performance in conjunction with predicted speed-torque characteristics of a copper-layered retarder. A full vehicle model, along with the proposed retarder speed-torque model has been used to simulate a series braking events. The simulation results show that the peaks of the retarder speed-torque curves must be designed to occur within a specific range of speeds for optimal braking performance.

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“…Toroidal magnet cores are known to provide an optimal magnetic path because there are neither sharp corners nor changes in cross section to leak magnetic flux. Much of the prior engineering work with ECBs is focused towards the transportation industry for automotive and locomotive brakes [23], [28], [29]. In these applications, the inertia of the conductive disc has a relatively small impact on the overall inertia of the vehicle, and as such, materials such as iron and copper are acceptable.…”

Section: Design Of An Eddy Current Damper For a Parallel Haptic Imentioning

confidence: 99%

Eddy Current Brakes for Haptic Interfaces: Design, Identification, and Control

Gosline

Hayward

2008

IEEE/ASME Trans. Mechatron.

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Abstract-We describe the design of an eddy current brake for use as programmable viscous damper for haptic interfaces. Unlike other types of programmable brakes, eddy current brakes can provide linear, programmable physical damping that can be modulated at high frequency. These properties makes them well suited as dissipative actuators for haptic interfaces. We overview the governing physical relationships, and describe design optimization for inertial constraints. A prototype haptic interface is described, and experimental results are shown that illustrate the improvement in stability when simulating a stiff wall that is made possible using programmable eddy current dampers.

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Optimal robust control of a contactless brake system using an eddy current

Cited by 91 publications

References 10 publications

Damping estimation and control of a contactless brake system using an eddy current

Damping estimation and control of a contactless brake system using an eddy current

Torque characteristics analysis for optimal design of a copper-layered eddy current brake system

Eddy Current Brakes for Haptic Interfaces: Design, Identification, and Control

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