scholarly journals REPETITIVE ADAPTIVE CONTROL OF NONLINEAR UNCERTAIN PLANT WITH INPUT SATURATION

2021 ◽  
pp. 122-135
Author(s):  
E.A. Shelenok ◽  
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Algorithm ◽  
Reference Model ◽  
Input Saturation ◽  
Adaptive Control System ◽  
Bounded Disturbances ◽  
Adaptive Control Algorithm ◽  
Fast Acting ◽  
Nonlinear Plant

The article proposes solution to the problem of synthesizing adaptive control algorithm for dy-namic T-periodic nonlinear plant operating under conditions of structural and parametric uncer-tainty, in the presence of input restrictions and constant bounded disturbances. The hyperstabil-ity criterion, L-dissipativity conditions, fast-acting filter-correctors, and an implicit reference model are used as the methods for synthesis of repetitive adaptive control system.

scholarly journals IMPLEMENTATION OF AN ADAPTIVE CONTROL ALGORITHM WITH A REFERENCE MODEL FOR PROGRAMMABLE LOGIC CONTROLLERS

2021 ◽  
pp. 30-38
Author(s):  
A.N. Rybalev ◽  
Keyword(s):  
Adaptive Control ◽  
Control Algorithm ◽  
Reference Model ◽  
Software Implementation ◽  
Programmable Logic ◽  
Adaptive Control System ◽  
Practical Evaluation ◽  
Combined Models ◽  
Parametric Adjustment ◽  
Adaptive Control Algorithm

The paper proposes approaches to the software implementation of an adaptive control system with a reference model and parametric adjustment of the regulator on programmable logic con-trollers (PLC) and with practical evaluation of synthesized systems on combined models, includ-ing a simulation model of the controlled plant and a virtual or real controller.

Network Time-Delay Compensation Based on Narandra Stable Adaptive Control

2014 ◽  
Vol 971-973 ◽  
pp. 1266-1271
Author(s):  
Tie Jun Chen ◽  
Ke Yi Liu
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Time Delay ◽  
Control Algorithm ◽  
Reference Model ◽  
Networked Control System ◽  
Networked Control ◽  
Control Input ◽  
Delay Compensation ◽  
Bounded Control

A new delay compensation control algorithm is applied to the networked control system (NCS), in which the characters of random time-delay and packet loss involved. Firstly, the ideal model of networked control system is considered as a reference model, and then the Lyapunov stability theory is used to design an adaptive control algorithm which generates a bounded control input, it is guaranteed that generalized output error is closing to zero. Narandra stability adaptive controller is used in the networked control system, which has many advantages including simple algorithm, less time computing, fast response. The simulation results are shown that the networked control system is well controlled by this method.

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