Technical University of Iasi - Fac. Automation and Computers
Design with microprocessors
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Thursday, 31 Jan, 119 Time 13:55
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Experiment No. 4
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ARM Cortex M0 + - unipolar step-by-step interface and control
ARM Cortex M0 + - Unipolar Step-by-Step Interface and Control The experiment aims to provide a one-step step-by-step solution for controlling single-pole motors using a FRDM KL25Z platform At the end of the lab, basic information on the use of cloud resources for application development processors in the ARM family as well as details of how to interface and program the microprocessors step by step unipolar.
FRDM platform, unipolar step-by-step micromotor extension, TANDON micromotor model, KP4M4.
Prototype Prototype
Platform Platform extension extension FRDm KL25
E4.5 Exploration / Tracking Experiment:
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Connect the unipolar stepped motor extension to the FRDM extension according to the diagram below:
- Check correctness of the mpp-KL25 connections according to the signals from the extension pins represented in figure 3 ;
- - Check the correctness of data connections and power lines;
- - Observe the relatively large currents (400 mA);
- - Analyze the necessity and way of realizing the galvanic separation between the mbed and the motor;
- - In the source of the prototype program analyze how to generate the signals necessary for the magnetic field inversion of the micromotor;
- - View the shape of the signals at the extension pins with the oscilloscope.
- Modify the prototype program so that you move the motor shaft by one step at intervals of 1 sec.
- Perform a program sequence that will highlight the operation of the micromotor in interlace mode.
- By tracking engine features, make a program that will ensure continuous motion at full speed.
- Make a program that allows you to identify the number of steps for a complete rotation of the engine shaft.
- Make a program that will allow viewing with the oscilloscope of perturbations introduced by the motor on the power lines
E4.7 The experiment may be extended to:
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Internet control of actuators with MPP;
Making Internet of Things with actuators; Achievement of positioning systems;
E4.8 Collateral Information:
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© 2014 Technical University of Iasi - Fac. Automation and Computers
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