Design and indirect adaptive fuzzy H^∞ control of a novel retarder coupled with eddy current effect and MR effect

Abstract

To improve the poor braking performance of the traditional eddy current retarder, a novel retarder is developed by coupling the eddy current effect and the magnetorheological effect, which has large torque at low speed and stable torque at high speed. To meet the constant speed requirement in the braking process, the indirect adaptive fuzzy H∞ control strategy is employed to control the rotor speed of the designed retarder. The results show that the proposed retarder has the characteristics of continuously adjustable large torque in full speed section, sensitive control process and constant speed intelligent control.

Model Predictive Control Coupled with Artificial Intelligence for Eddy Current Dynamometers

“…Moreover, Zhao et al [14] designed an ANN (Artificial Neural Network) for MPC for damping DC voltage smaller steady-state error and a dynamic voltage overshoot on aircraft systems. Yan et al [15] handled the NMP [2] PD controller Air bearing speed 3 Fountaine [3] PID control Load of an ECD 4 Simeu et al [4] Two-Observer based nonlinear compensator Angular speed of an eddy current brake 5 Gosline et al [5] Time domain passivity Position of a haptic interface 6 Anwar [6] Sliding mode control Torque of and Eddy current dynamometer 7 Roozbehani et al [7] Fuzzy + PID Torque of and Eddy current dynamometer 8 Yang et al [8] Model-Based control Vehicle speed using Eddy current retarder 9 Xu et al [9] Indirect adaptive Fuzzy + H∞ Shaft speed of Eddy current brake 10 Lee et al [10] Sliding mode control Vehicle slip ratio 11 Bunker et al [11] Multivariable Controller Torque and speed of Eddy current brake 12 Singh et al [12] SHLNN, Fuzzy Logic Rotor speed of Eddy current brake problem by using ANN supervised MPC system. RBNN coupled with MPC was demonstrated to be effective in the paper of Huang et al [16] for clutch control, Han et al [17] for optimization of wind turbines, Mirzaeinejad [18] for controlling of wheel slip in antilock braking systems, Jamil et al [19] for controlling control of vibrations in tall structure.…”

Artificial Intelligence Based PID Controller for an Eddy Current Dynamometer

“…Yang et al [8] proposed model-based control for Eddy Current Brakes. Xu et al [9] suggests indirect adaptive Fuzzy H∞ control for novel Eddy Current Retarder.…”

Thermal analysis of a novel retarder by using the nanofluid cooling system: Numerical and experimental approaches

“…In many developed countries, retarders have been forcibly used in public buses, tourist buses, medium and heavy trucks, and other kinds of heavy‐duty vehicles with large brake strength. The novel retarder with Eddy current and magnetorheological (MR) effects proposed in our previous paper has the characteristics of continuously adjustable large torque in full speed section, sensitive control process, and constant speed intelligent control 1 . However, like other commonly used ECRs (generally cooled by air‐forced convection), the proposed novel retarder also faces the serious thermal recession problem that has been associated with the braking torque when used frequently 2 …”

“…Structure of the proposed novel retarder 1 . 1, spring retainer ring; 2, rotating disk; 3, outer shell; 4, MRF; 5, outer hexagon plug; 6, 21, O‐ring; 7, iron core; 8, coil; 9, magnetic pole; 10, 24, 27, inner hexagon screw; 11, 23, slotted countersunk head screw; 12, baffle; 13, pipe thread port; 14, flat key; 15, adjusting gasket; 16, bearing end cover; 17, transmission shaft; 18, 20, bearing; 19, 26, lip seal ring; 22, heat insulation cloth; and 25, inner shell [Color figure can be viewed at wileyonlinelibrary.com]…”