• AVR Freaks

Hot!DSPIC33CH dual core error

Author
Virland
New Member
  • Total Posts : 8
  • Reward points : 0
  • Joined: 2019/10/18 05:08:55
  • Location: 0
  • Status: offline
2020/06/22 05:03:44 (permalink)
5 (1)

DSPIC33CH dual core error

Hello!
I'm trying to build firmware file for master+slave microcontoller (DSPIC33CH128MP508) and have some problem.
When I put the block "MCHP_SLAVE_CORE" on model and run building, the matlab show me the error message:
 
The call to MCHP_dsPIC_stf_make_rtw_hook, during the entry hook generated the following error: Error in 'Firmware/SLAVE core': Initialization commands cannot be evaluated. The build process will terminate as a result.

Caused by:
Error in 'Firmware/SLAVE core': Initialization commands cannot be evaluated.
SLAVE core image file not found:C:\Users\virla\Dropbox\Work\IRZ\Matlab\QPSK_PIL\dsPIC33CH512MP508_MSI_Slave.X\slave1_image\slave1_image.s

When I manually put slave image file "slave1_image.s" in this folder - nothing happens, the error did not disappear.
A Master and a Slave model individually building well, the *.hex file build correctly and works well(after flashing directly to master/slave), but a single file for mater+slave firmware not.
 
The master project contains block MCHP_MASTER targetting 33CH128MP50.
Also in configuration parameters set checkbox "Compile slave and link with Master" and printed path to slave reference(C:\Users\virla\Dropbox\Work\IRZ\Matlab\QPSK_PIL\slave.X)
 
The slave project contain block MCHP_MASTER targetting 33CH128MP508S1
In this project checkbox "Compile slave and link with Master" checked too and printed path to Master reference(C:\Users\virla\Dropbox\Work\IRZ\Matlab\QPSK_PIL\Firmware.X)
 
I'm using matlab 2019b and 3.46.05 blockset.
 
P.S. Sorry for my english, it is not my native languale and I know it not good enought.

Attached Image(s)

#1

9 Replies Related Threads

    Gort2015
    Klaatu Barada Nikto
    • Total Posts : 3984
    • Reward points : 0
    • Joined: 2015/04/30 10:49:57
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/06/22 07:06:40 (permalink)
    2 (3)
    In Master properties did you add the slave name to the slave folder ?
    (Similar to when you add objects and libraries to the library folder)
     
     
     
     
     

    MPLab X playing up, bug in your code? Nevermind, Star Trek:Discovery will be with us soon.
    https://www.youtube.com/watch?v=Iu1qa8N2ID0
    + ST:Continues, "What Ships are Made for", Q's back.
    #2
    Virland
    New Member
    • Total Posts : 8
    • Reward points : 0
    • Joined: 2019/10/18 05:08:55
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/06/22 07:28:01 (permalink)
    0
     
    Gort2015
    In Master properties did you add the slave name to the slave folder ?
    (Similar to when you add objects and libraries to the library folder)
     
     
     
     
     


    Unfortunately, I found only one place where I can type a pointer to a slave project. I typed the path in this place (indicated on the attached screenshot) and nothing happens, the model. I misunderstood you?



    #3
    Virland
    New Member
    • Total Posts : 8
    • Reward points : 0
    • Joined: 2019/10/18 05:08:55
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/06/26 09:32:19 (permalink)
    0
    The problem still remains.
    I ask experienced people to respond and help with setting up a project to build Master+Slave firmware.
    #4
    Virland
    New Member
    • Total Posts : 8
    • Reward points : 0
    • Joined: 2019/10/18 05:08:55
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/07/03 06:12:29 (permalink)
    0
    I continue to solve my problem.
    I decided to go this way: the code for the master and for the slave separately generated using Matlab. Then I open the automatically created master project through MPLAB and manually add a pointer to the automatically created slave project in the properties of the master project. After that I build the final firmware.
    Is the way correct?
    The fact is that as a result, only the master core works after flashing the circuit(DM330028-2), the slave core does not even control any GPIO or transfer data throught mailboxes.
     
    Build result presented below
    [image]data:image/png;base64,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[/image]
    #5
    Virland
    New Member
    • Total Posts : 8
    • Reward points : 0
    • Joined: 2019/10/18 05:08:55
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/07/03 06:13:41 (permalink)
    #6
    Gort2015
    Klaatu Barada Nikto
    • Total Posts : 3984
    • Reward points : 0
    • Joined: 2015/04/30 10:49:57
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/07/03 12:02:41 (permalink)
    2.33 (3)
    The Slave/Master need pin ownership that is setup in the configs.
    The slave has to be enabled by the master (unlock)
    The slave clock freq. has to be set separately from the master.
     
     

    MPLab X playing up, bug in your code? Nevermind, Star Trek:Discovery will be with us soon.
    https://www.youtube.com/watch?v=Iu1qa8N2ID0
    + ST:Continues, "What Ships are Made for", Q's back.
    #7
    Gort2015
    Klaatu Barada Nikto
    • Total Posts : 3984
    • Reward points : 0
    • Joined: 2015/04/30 10:49:57
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/07/03 12:05:47 (permalink)
    1 (2)
    Rename the main.c files to:
     
    main_master.c
    main_slave.c
     
     

    MPLab X playing up, bug in your code? Nevermind, Star Trek:Discovery will be with us soon.
    https://www.youtube.com/watch?v=Iu1qa8N2ID0
    + ST:Continues, "What Ships are Made for", Q's back.
    #8
    Virland
    New Member
    • Total Posts : 8
    • Reward points : 0
    • Joined: 2019/10/18 05:08:55
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/07/09 00:28:54 (permalink)
    4 (1)
    The problem in the starting of the slave core is that when assembling the firmware using MPLAB, the linker did not see the settings for the slave core fuse and as a result did not correctly set them. I solved it by writing a script that includes the settings of fuses in the master code in the form of inclusion (#include "../slave.X/Slave1_FuseConfig.h"). This script is automatically launched by simulink through the post code generation command.
    Now there is a complete automatic generation of firmware for the chip using a simulink + MPLAB.
    Both cores correctly work clocked by XTALL+PLL. Both set to 100MIPS. Data correctly transfer throught mailboxes. I'm happy :). Task state after flashing in chip is on image https://www.dropbox.com/s...typc89/sealae_logs.png
    P.S. I also had to add a function to write a slave image from the master’s memory after the core started. Done using C caller block.
     
    #9
    Gort2015
    Klaatu Barada Nikto
    • Total Posts : 3984
    • Reward points : 0
    • Joined: 2015/04/30 10:49:57
    • Location: 0
    • Status: offline
    Re: DSPIC33CH dual core error 2020/07/09 05:09:29 (permalink)
    0
    The Master should be set @ 90MHz.
     
    There is a brilliant comms. demo that graphically transfers data to the master and slave and back using: UART, I2C, SPI, FIFO and Mail-Boxes.
     
    It even has 96bit color output and I saw Space Invaders using UART.
    Would that be possible ?
     
     
     

    MPLab X playing up, bug in your code? Nevermind, Star Trek:Discovery will be with us soon.
    https://www.youtube.com/watch?v=Iu1qa8N2ID0
    + ST:Continues, "What Ships are Made for", Q's back.
    #10
    Jump to:
    © 2020 APG vNext Commercial Version 4.5