Title: Controlling of lower-order dead system by implementing adaptive RST algorithm

Authors: Yanzhu Guo

Addresses: Xi'an Railway Vocational & Technical Institute, Xi'an, Shaanxi, China

Abstract: Since the advent of time, humankind has made numerous technological advancements. Every system built is indeed time-varying in nature as well as nonlinear, and they tend to vary with time. The dead or slow system tends to vary at a slow rate. To control such a system, we implemented an RST-based control algorithm that can track the output of the unknown system and control it with minimal error. (τ) is a quantity measured in time and it is a time-varying parameter for the lower order system, this is the parameter that will change with time and in turn change an entire system response. Previously applied control parameters might not be suitable to control the system. Therefore, this study introduces a novel mechanism that combines the least squares (LS) algorithm with RST. LS used to track the changes occurring in the system with time and thus change the control parameter to complement the changes that occurred in the system. The proposed algorithm design of a slow time-varying system is compiled and simulated in MATLAB. It is compared with the conventional PID controller and it tracks the signal faster with the same amount of work force. It shows better performance more robust and effective than the PID controller.

Keywords: RST control algorithm; slow time-varying system; dead systems; least square algorithm; adaptive control; self-tuning regulator.

DOI: 10.1504/IJMIC.2021.123773

International Journal of Modelling, Identification and Control, 2021 Vol.39 No.4, pp.272 - 278

Received: 17 Oct 2020
Accepted: 01 Dec 2020
Published online: 04 Jul 2022 *

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