Abstract
The paper discusses the use of differential filters in control algorithms. The filters are designed to determine the derivatives of the input signal and eliminate measuring and quantization noise. The differential filters improved the quality of control, with the results being better than those obtained with the classic Finite Difference Method (FDM). The primary purpose of the study was to employ the differential filters in a real-time control algorithm, which requires appropriate derivatives. The control process involved applying a method of aggregation of state variables, based on signal derivatives, which can be used for non-linear dynamic systems. The experiments were conducted on a test stand with a pneumatic muscle acting as the plant to be controlled.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
