This research focuses on development a speed control system of a rotary load shaft with different loading torque by using a clutch featuring magneto-rheological fluid (MRC). Firstly, a new configuration of a speed control system using MRC is proposed. Modeling of the MRC based speed control system is then derived based on Bingham plastic model of magneto-rheological fluid (MRF). Based on the derived model, an optimal design problem for the system is built and the optimal solution is obtained based on finite element analysis. Performance characteristics of the MRC based speed control system are then experimentally investigated. After that, the MRC based speed control system to control a varying rotary load shaft driven by an AC motor is proposed and a PID controller to control the speed is designed and implemented. Experiments on steady speed control of the rotary load shaft is then obtained and presented with remark discussions.
In this research, a new configuration of bidirectional actuator featuring MR fluid (BMRA) is proposed for haptic application. The proposed BMRA consists of a driving disc, a driving housing and a driven disc. The driving disc is placed inside the driving housing and rotates counter to each other by a servo DC motor and a bevel gear system. The driven shaft is also placed inside the housing and next to the driving disc. The gap between the two disc and the gap between the discs and the housing are filled with MR fluid. On the driven disc, two mutual magnetic coils are placed. By applying currents to the two coils mutually, the torque at the output shaft, which is fixed to the driven disc, can be controlled with positive, zero or negative value. This make the actuator be suitable for haptic application. After a review of MR fluid and its application, configuration of the proposed BMRA is presented. The modeling of the actuator is then derived based on Bingham rheological model of MRF and magnetic finite element analysis (FEA). The optimal design of the actuator is then performed to minimize the mass of the BMRA. From the optimal design result, performance characteristics of the actuator is simulated and detailed design of a prototype actuator is conducted.
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