Internal model control with feedback compensation for uncertain non-linear systems

Abstract

Control of non-linear systems by model-based strategies is often aOE ected by model uncertainties. For these systems, internal model control with feedback compensation (IMC-FC), which consists of a non-linear model control and an error feedback loop, to achieve disturbance attenuation and oOE set-free performance, is proposed in this study. The matching conditions for the uncertainties of non-linear systems are not necessary, and adjustable parameters can easily be tuned to satisfy the particular speci® cation. The underlying theoretical approach for the feedback compensation is the Lyapunov stability theory. The eOE ectiveness of the proposed approach is illustrated by a simulation example on the composition control of a continuous stirred tank reactor. The theoretical analysis and simulation results show that the proposed IMC-FC can reduce the eOE ect of modelling uncertainties such that the performance of the control system is greatly improved.

Data-based intelligent modeling and control for nonlinear systems

“…The structure can improve the performance of tracking, antiwindup, and anti-interference. Reference [30] presented enhanced internal model control against uncertainties, which consisted of a nonlinear model control and an error feedback loop to achieve disturbance attenuation, but the tracking performance was not modified.…”

A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants

“…A useful technique called the Internal Model Control (IMC) is very popular and continues to enjoy widespread popularity in industrial control applications due to its fine disturbance rejection capabilities and robustness [1,2]. IMC is an effective approach for the design and implementation of open-loop stable systems.…”

“…Precise control of dynamic plants can be exceptionally difficult, especially when the system in question is nonlinear. In response, many approaches have been developed to aid the controller design [1][2][3][4][5].…”

Optimal PID Controller Tuning using Simulated Annealing based Internal Model Control

“…Internal model control is attempted in this work which is a model based controller. In addition to the model parameters only one tunable parameter , filter constant [6][7][8][9]. The problem of the model mismatch in Smith Predictor is considered and eliminated using the robust design of the internal model controller.…”