Category Archives: CPU’s

Red Suite 5: Eclipse Juno, Processor Expert and unlimited FRDM-KL25Z

Posted on by
25

❗ UPDATE: Code Red Technologies have been acquired May 1st 2013 by NXP, see this press release. According to this, they will not continue to support non-NXP architectures after May 2014. 😦

You probably know this already: I’m a fan of Eclipse, Processor Expert and the Freedom board. As for tool chains I use CodeWarrior for MCU10.x (Eclipse based, 64 KByte free limit) and IAR (32 KByte limit) with the Processor Expert Driver Suite.

And I have added a new Eclipse based solution: Red Suite 5 from Code Red Technologies. They released a new Red Suite 5 (v5.2.2 build 2108) which caught my attention when reading the release notes:

  1. Eclipse Juno SR2: New Eclipse Look & Feel 🙂
  2. Added integration for Processor Expert 🙂 🙂
  3. Non-expiring 128k (!!!) limit when used with the Freescale FRDM boards 🙂 🙂 🙂
Red Suite 5 Eclipse Startup

Red Suite 5 Eclipse Startup

Continue reading →

printf() with the FRDM-KL25Z Board and without Processor Expert

Posted on by
18

In this tutorial I explored how to use printf(), and this tutorial is so generic that it works for any processor/microcontroller. That flexibility is because I’m using Processor Expert. In case Processor Expert shall not be used, then some tweaks are needed. Here I show what is needed to have printf() working with the FRDM-KL25Z board. I use the UART0 connected to OpenSDA USB CDC for this.

Continue reading →

A new Freedom Board: FRDM-K20D50M with ARM Cortex M4

Posted on by
48

Freescale/Farnell/Element14 announced last week a new Freedom Board: the FRDM-K20D50M :-). As you can expect, I was not able to resist, and ordered one from my local Farnell store right away. So I did my first steps with it on this sunny and wonderful weekend (yes! we skipped Spring Time and entered Summer Time right away!).

I do not need to compare the board with the previous Freedom boards, as I have found an article here. I a nutshell: I get pretty much the same as with the FRDM-KL25Z, but instead of an ARM Cortex-M0+, it has an ARM Cortex-M4!

The new FRDM-K20D50M Board

The new FRDM-K20D50M Board

Continue reading →

text, data and bss: Code and Data Size Explained

Posted on by
104

In “Code Size Information with gcc for ARM/Kinetis” I use an option in the ARM gcc tool chain for Eclipse to show me the code size:

   text       data        bss        dec        hex    filename
 0x1408       0x18      0x81c       7228       1c3c    size.elf

I have been asked by a reader of this blog what these item numbers really mean. Especially: what the heck is ‘bss’???? 🙂

Continue reading →

Extended Driver for the MMA8451Q Accelerometer

Posted on by
42

In “Tutorial: Accelerating the KL25Z Freedom Board” I used the MMA8451Q accelerometer on the FRDM-KL25Z board in a very primitive way: I’m reading directly some low-level registers from the device through an I2C low-level component. No calibrating, no special device feature setting, only raw values. Since then, things have been evolved: In “Tutorial: Creating a Processor Expert Component for an Accelerometer” I started to create a driver for this accelerometer, and since then a lot more functionality has been added.

Tracing Accelerometer Values to the Shell

Traced Accelerometer Values to the Shell

Continue reading →

Tutorial: Creating a Processor Expert Component for an Accelerometer

Posted on by
69

If you are a frequent reader of this blog, then you know: I’m a big fan of Processor Expert components. While there are many Processor Expert components delivered with CodeWarrior, it lacks many components and device drivers beside of the normal on-chip peripherals. But value gets added to an embedded project with all the external devices, sensors and actuators. That’s why I have created many more components which are available on my GitHub site. Readers of this blog have asked several times to create a tutorial on how to create a Processor Expert component. So why not working on that on a long Easter weekend full of cold rain and snow?

So here we go: a tutorial how to create a Processor Expert component for the MMA8451Q accelerometer found on the FRDM-KL25Z board:

MMA8451Q Accelerometer on the FRDM-KL25Z Board

MMA8451Q Accelerometer on the FRDM-KL25Z Board

Continue reading →

Maze solving FRDM-KL25Z Robot goes backward for Dead-Ends

Posted on by
8

The maze solving robot based on the Freedom FRDM-KL25Z and Pololu Zumo shield has new features:

  1. For dead-end paths, instead turning around, the robot is driving backward
  2. Higher speed for going forward/backward/turns
  3. In the finish area, the robot turns around
  4. It reverts the solution path, so the robot can directly run from the finish area to the start
FRDM-KL25Z Robot on Practice Area

FRDM-KL25Z Robot on Practice Area

Continue reading →

Freedom Logic Analyzer with DMA

Posted on by
21

The FRDM-KL25Z Open Source Logic Analyzer based on SUMP presented here was already very useful with the added trigger support. But it was not capable to do a sampling rate above a few hundred kHz. That’s ok for slower probing, but not for anything with a higher speed. Using DMA (Direct Memory Access) instead of timer based sampling can remove that limitation :-).

FRDM-KL25Z used as Logic Analyzer on another FRDM-KL25Z board

FRDM-KL25Z used as Logic Analyzer on another FRDM-KL25Z board

Continue reading →

Compiling C Files with GNU ARM G++

Posted on by
1

If I want a C++ project for my KL25Z Freedom board, I select C++ during the project creation:

C++ Project Creation for GCC

C++ Project Creation for GCC

This creates a gcc C++ project with all the needed settings.

This worked fine until I added a *.c file to my project which had code in it which was not accepted by the C++ compiler. Wait! Should the *.c not be compiled in C mode, as I was used to with other compilers? It turned out that things are different with gcc (or g++) :-(: the *.c files in my project are compiled in C++ mode. So the question is: how to compile in C mode with the ARM g++ compiler?

Continue reading →

Freedom Robot solves the Maze

Posted on by
5

Finally I have found some time over the past week-end to enhance my Zumo robot. After I had my line following robot based on the Pololu Zumo chassis and the FRDM-KL25Z, I thought it should be easy and logical to solve a maze. Logical: yes. Easy: not that much. In fact it took me longer than expected. As always, there are a lot of tiny and important problems to solve (the maze alone was easy 🙂 ).

Zumo in the maze

Zumo in the maze

Continue reading →