This can lead to confusion for two reasons: 1) many different sample rates are used, and 2) sample-rate information is not contained within the series of amplitude values. Instead, we have individual amplitude values that must be interpreted according to the sample rate. In the digital domain, frequency loses its reference to an unchanging unit of time. Units of time are the same always and everywhere-e.g., 100 Hz (= 100 cycles per second) means the same thing in every engineering project. ![]() In the analog domain, frequency specifies the number of cycles with respect to time. For this article, we don’t need to concern ourselves with phase, and amplitude doesn’t really change when you move from analog to digital frequency, on the other hand, requires some attention. This is as true in the digital realm as it is in the analog realm, and consequently it is important to thoroughly understand the nature of a digitized sinusoid.īoth analog and digital sine waves have amplitude, frequency, and phase. In the world of signal processing, sinusoids are everywhere. Another advantage is that the Scilab interface is similar to the MATLAB interface, so if you have experience with MATLAB (maybe from your days as a student or an employee of a large company), Scilab should feel somewhat familiar. In my experience with Scilab, it is very capable and reasonably user-friendly. It turns out, though, that there is an alternative to MATLAB that is completely free called Scilab. However, developing software of this quality is by no means inexpensive, and I wouldn’t be surprised to learn that the cost of a standard MATLAB license doesn’t fit within the budgetary constraints of numerous entrepreneurs, consultants, startups, and small engineering firms. I’ve done quite a bit of work with MATLAB over the years, and it is undoubtedly a powerful tool that can simplify and accelerate a wide variety of engineering tasks. In addition, all model equations are discretized to enable their implementation on discrete sampled computing systems like the machine control.This article discusses basic signal-processing tasks that can be performed using a free and open source alternative to MATLAB. Subsequently, the optimized models are inverted and compared to the original system. The optimization of the model parameters is carried out by applying a Nelder-Mead-optimization algorithm. An identification routine automatically determines the system order based on frequency responses and calculates a corresponding model. The methodology is based on the exclusive use of drive internal excitation and signal sources. The key objective is the identification of the required transfer functions of the mechanical transfer behaviour between load application point and servomotor. ![]() In this paper, a partial aspect of an observer structure for estimating load and process forces based on motor currents and axis positions of electromechanical drive systems is presented. A contribution can be made by machine internal drive systems and their integrated sensors and measurement functions. Especially in the area of production technology, continuous monitoring and evaluation of the manufacturing processes is of particular interest for devolping autonomous production systems. In the context of Industry 4.0 and the proclaimed digitalization of production towards autonomous and self-monitoring systems, an increasing demand for novel monitoring and diagnostic functions can be derived.
0 Comments
Leave a Reply. |