Skip to main content

Mathworks has turned the design engineer into an analysis tool expert



Don't get me wrong. I like Mathworks products, specifically MATLAB and the suite of control toolboxes. But for curse of being a super monopoly software is that, in order to make profit to drive software updates (which is now expected to be at least twice a year on most toolboxes), the focus is on the popular user requirements. This is often based on academia and research houses which often doesn't deal with hardware or firmware. In so doing, a large percentage of professional engineers productivity is directly coupled to the level of expertise of the analysis tool rather than the process upon which the product is based.

Consequently, the poorer or bloated the tool, the slower can an engineer develop a product at lower cost. Unfortunately, the reliance on more powerful machines is the way to circumvent to problem. Just run the bloated simulation fast enough that's it's on longer noticeable to the designer. But is that engineering design? Is not the whole point to improve on one's design techniques without being constrained by the tool that computes the design? Is the next generation engineer just a really good user of design tools? Will the fundamentals and assumptions that are embedded in those tools no longer need to understood from first principle?

I'm sorry to say but I see only a viscious cycle of more mediocre designs and products as a consequence on the face of more computing power (contradictory I know...)

Comments

Popular posts from this blog

Setting up the Tarot T4-3D gimbal on the Pixhawk 2.4.8 with Specktrum dx6 Gen2 toggle switch

So i took the challenge of setting up the Tarot gimbal not just for inherent stable video footage but also the flexibility of controlling it from the radio control. However, I encountered quite a few challenges which made me aware that I'm not the one only in this battle . It's quite clear that the setup of the Tarot gimbal using its own software is completely different from how it's been described in the Ardupilot/Arducopter webpage and in mission Planner. In Mission Planner and it's associated site makes one believe that it should be done through software, only to realize that in actual fact the setup is more complex than that.  After two evenings of trying various combinations, I realized the getting the pixhawk Aux channels to communicate with the T4 gimbal requires the following steps: - The Pixhawk Pin9 (Aux1) needed to be activated to pass through user-chosen channel from the transmitter. For the Dx6 Gen2 it was the channel 6, which can assigned the

Matlab to C/C++ code development - Some learning points

Over the last few years, the engineers at the company have invested both their time and sleepless nights in formulating a process for the development of Machine learning algorithms that will satisfy real-time constraints with minimal RAM usage. This is quite a tall task as per default, that would force one to do their development directly in C language. Although that seems like the right choice, the downside is the direct correlation of the debugging time with algorithm complexity.  Such a time could have been rather used in optimizing the algorithm within the MATLAB environment which has excellent tools for the analysis, plotting and debugging. So it was decided to rather learn the Code generation process with the hope that future algorithm could be designed in a similar fashion without the hassle of the compiler-specific run-time issues. The development of this machine learning algorithm would eventually be implemented in a 32bit, 160Mhz speed, 260KB RAM microcontroller.

The hard climb of innovation

For the last couple of months, our design team has been hard at work at detail development of our drone concept which we hope to make public early 2021. These have been unprecedented times with so many changes within our company: people moving countries, stuck at airports, universities closing and transitioning to online classes and exams; all in the space of one year! Nevertheless, one of the fundamental challenges facing the drone industry in developing countries next year, is how to operate within an environment where shipping of critical parts (amongst other things) has been disrupted due to the covid-19 pandemic. If the most critical items (propellers, batteries, sensors, etc. ) of the system are also associated with the longest lead time, this has a significant impact on the operating cost and service coverage that can be achieved. Unfortunately, there's no easy way of solving this issue except if it was envisioned as part of the development process. But this is seldom the ca