Adaptive PID Control System with Adaptive NN Feedforward for Discrete-Time Systems

2014 ◽  
Vol 134 (9) ◽  
pp. 1175-1181 ◽  
Author(s):  
Taro Takagi ◽  
Ikuro Mizumoto
2020 ◽  
Vol 42 (10) ◽  
pp. 1797-1807 ◽  
Author(s):  
Shuhua Zhang ◽  
Ronghu Chi

This work explores a model-free adaptive PID (MFA-PID) control for nonlinear discrete-time systems with rigorous mathematical analysis under a data-driven framework. An improved compact form dynamic linearization (iCFDL) is proposed to transfer the original nonlinear system into an affined linear data model including a nonlinear residual term. Both a time-difference estimator and a gradient parameter estimator are designed to estimate the nonlinear residual uncertainties and the unknown parameters in the iCFDL model. Subsequently, a novel improved CFDL based MFA-PID (iCFDL-MFA-PID) control is proposed by incorporating these two estimators. The results are extended by the use of improved partial format dynamic linearization (iPFDL) and full format dynamic linearization (iFFDL). The theoretical results are shown using contraction mapping principle-based mathematical analysis, as well as simulations.


2021 ◽  
Vol 9 (1) ◽  
pp. 232-242
Author(s):  
Pengyu Wen ◽  
Nan Hou ◽  
Yuxuan Shen ◽  
Jiahui Li ◽  
Yi Zhang

1992 ◽  
Vol 114 (3) ◽  
pp. 508-516 ◽  
Author(s):  
Xing Guangqian ◽  
Peter M. Bainum

In this paper some definitions of degree of controllability (observability), which is based on the scalar measure of the controllability (observability) Grammian matrix, are presented for discrete-time systems. The emphasis here is in showing the physical and geometrical meanings of the degree of controllability (observability) and the general properties of degree of controllability (observability). The concepts of degree of controllability are applied to the actuator placement problem for the shallow spherical sheel control system. The LQG transient responses for several typical systems with different degrees of controllability are also shown.


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