Design and Development of Embedded System on ARM for On-Line Characterization of DC Motor

Abstract

An on-line characterization system has been developed for DC motors working in Micromanufacturing applications. These sensitive applications require high precision and high speed of response. The system has been programmed on ARM microcontroller, it actuates DC motor and automatically collects data while it is being accelerated and attains a steady speed ; the embedded routines process it instantly and returns the current values of inertia, friction coefficient, back-emf constant and torque constant. A prototype system for DC motor control has been developed in laboratory, it has been characterized and control experiments have been performed. when such Micromanufacturing applications progress in real-time, any change in the motor parameters, consequently in transfer function, can be found and utilized for better performance.

State estimation for motorized seat belt system using sliding-mode observer

“…It is assumed that electrical parameters can be changed in 10% by temperature, current, ageing or other environmental factors (Zhu, 2004;Li et al, 2010). Also, it is assumed that mechanical parameters can be changed in 30% by humidity, unknown linearities, external disturbances or other environmental factors (Pal et al, 2009;Li et al, 2010). Table 3 is the post-simulation results of parameter mismatched case 1, that is 10% variation in variables R a , L a .…”

Design and Implementation of Embedded Speed Controller on ARM for Micromanufacturing Applications

“…Its parameters of interest have been measured and monitored online during its course of operation. The values obtained for the systems are 3.275026417×10 −4 kg·m 2 , 1.42419433×10 −6 N·m·s, 7.6 ohm, 4.6 mH, 6.16×10 −3 N·m/A and 6.16×10-3 V·s for inertia, friction coefficient, resistance, inductance, Torque constant and Back-EMF Constant respectively [13]. Second Order Transfer Function obtained from modeling equations as,…”

“…The controller obtained was, C(S) = 7.1071 × 10 12 × 1 + 0.51s 1 + 9 × 10 13 s (12) and it is approximated as, C(S) = 7.107 × 1 + 0.51s 90s (13) Its Rise Time was noted as 0.153s, Settling Time as 0.632s and Peak Percent Overshoot as 9.36%. Response of the compensated plant is shown in Figure 6.…”

Development of a Device for Negative Pressure Wound Therapy Based on ARM9 Embedded System

“…In recent years, embedded systems have been widely used in medical equipments because of low power consumption, small size and high stability [9][10][11]. This study designed an intelligent NPWT device based on embedded system with ARM9 kernel.…”