scholarly journals Research to Design Predictive Controller for Nonlinear Object based on Fuzzy Model

2021 ◽  
Vol 8 (1) ◽  
pp. 27-31
Author(s):  
To Van Binh
Keyword(s):  
Fuzzy Model ◽  
Object Based ◽  
Nonlinear Object ◽  
Predictive Controller

FUZZY PREDICTIVE CONTROLLER FOR UNKNOWN DISCRETE CHAOTIC SYSTEMS

2007 ◽  
Vol 17 (06) ◽  
pp. 2141-2148 ◽  
Author(s):  
ABDELKRIM BOUKABOU ◽  
NOURA MANSOURI
Keyword(s):  
Chaotic System ◽  
Learning Algorithm ◽  
General Structure ◽  
Fuzzy Model ◽  
Model Parameters ◽  
Gaussian Basis Function ◽  
Marquardt Algorithm ◽  
Predictive Controller ◽  
Takagi Sugeno ◽  
Measured Input

In this paper, a fuzzy logic-based approach is taken for modeling and prediction-based control of unknown chaotic system using measured input–output data obtained from the underlying system. Under this framework, a Takagi–Sugeno (TS) fuzzy system is used with a general structure of a linear combination of Gaussian basis function in conjunction with the Levenberg–Marquardt algorithm for the optimization of model parameters. A real-time one-pass learning algorithm is developed for identifying the unknown chaotic system. Based on the fuzzy model above, a predictive controller is achieved for the stabilization of the fuzzy model on unknown unstable fixed points. Several simulation examples are included to illustrate the effectiveness and the feasibility of the proposed method for both fuzzy modeling and predictive control phases.

scholarly journals MODEL PREDICTIVE CONTROL BASED ON FUZZY SYSTEM, APPLICATION FOR A CONTINUOUS STIRRED TANK REACTOR (CSTR)

2010 ◽  
Vol 13 (1) ◽  
pp. 16-23
Author(s):  
Tuan Quang Tran ◽  
Minh Xuan Phan
Keyword(s):  
Fuzzy Model ◽  
Stirred Tank ◽  
Continuous Stirred Tank Reactor ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
Predictive Controller ◽  
Continuous Stirred Tank ◽  
Takagi Sugeno ◽  
Predictive Controllers

The paper presents one method to design the Model Predictive Controller based on Fuzzy Model. The Plant is simulated by Takagi-Sugeno Fuzzy Model and the Optimisation Problem is solved by the Genetic Algorithms. By using the Fuzzy Model and Genetic Algorithm this MPC gives better quality than the other General Predictive Controllers. The case study of a continuous stirred tank reactor (CSTR) control is presented in this paper.

scholarly journals Design of a Nonlinear Predictive Controller for a Fractional-Order Hydraulic Turbine Governing System with Mechanical Time Delay

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4727
Author(s):  
Yuqiang Tian ◽  
Bin Wang ◽  
Diyi Chen ◽  
Shaokun Wang ◽  
Peng Chen ◽  
...  
Keyword(s):  
Time Delay ◽  
Prediction Model ◽  
Fractional Order ◽  
Control Method ◽  
Moving Average ◽  
Fuzzy Model ◽  
Hydraulic Turbine ◽  
Governing System ◽  
Order Part ◽  
Predictive Controller

A nonlinear predictive control method for a fractional-order hydraulic turbine governing system (HTGS) with a time delay is studied in this paper. First, a fractional-order model of a time-delay hydraulic turbine governing system is presented. Second, the fractional-order hydraulic servo subsystem is transformed into a standard controlled autoregressive moving average (CARMA) model according to the Grünwald-Letnikov (G-L) definition of fractional calculus. Third, based on the delayed Takagi-Sugeno fuzzy model, the fuzzy prediction model of the integer-order part of the HTGS is given. Then, by introducing a fourth-order Runge-Kutta algorithm, the fuzzy prediction model can be easily transformed into the CARMA model. Furthermore, a nonlinear predictive controller is proposed to stabilize the time-delay HTGS. Finally, the experiment results are consistent with the theoretical analysis.

scholarly journals Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Yan Yan ◽  
Baili Su
Keyword(s):  
Nonlinear Systems ◽  
Predictive Control ◽  
Control Method ◽  
Fuzzy Model ◽  
Main Idea ◽  
Closed Loop System ◽  
Nonlinear Predictive Control ◽  
Predictive Controller ◽  
Constrained Nonlinear Systems ◽  
Fuzzy Predictive Control

This paper presents an explicit fuzzy predictive control method for a class of nonlinear systems with constrained inputs. The main idea is to construct a terminal invariant set and explicit predictive controller with affine input on the basis of T-S fuzzy model. This method need not compute the complex nonconvex nonlinear programming problem of earlier nonlinear predictive control methods and decreases the number of optimization variables and guarantees stability of the closed-loop system. The simulation results on a numerical example show the validity of the method presented in this paper.

scholarly journals Automatic T-S fuzzy model with application to designing predictive controller

2012 ◽  
Vol 9 (4) ◽  
pp. 1577-1601
Author(s):  
Zhi-Gang Su ◽  
Pei-Hong Wang ◽  
Yu-Fei Zhang
Keyword(s):  
A Priori ◽  
Approximation Error ◽  
Fuzzy Model ◽  
Steam Temperature ◽  
String Length ◽  
Bee Colony ◽  
Superheated Steam Temperature ◽  
Predictive Controller ◽  
Rule Number ◽  
High Prediction

A novel methodology is proposed to automatically extract T-S fuzzy model with enhanced performance using VABC-FCM algorithm, a novel Variable string length Artificial Bee Colony algorithm (VABC) based Fuzzy C-Mean clustering technique. Such automatic methodology not requires a priori specification of the rule number and has low approximation error and high prediction accuracy with appreciate rule number. Afterward, a new predictive controller is then proposed by using the automatic T-S fuzzy model as the dynamic predictive model and VABC as the rolling optimizer. Some experiments were conducted on the superheated steam temperature in power plant to validate the performance of the proposed predictive controller. It suggests that the proposed controller has powerful performance and outperforms some other popular controllers.

Fuzzy Model Based Predictive Controller

1997 ◽  
pp. 173-196 ◽  
Author(s):  
C. Batur ◽  
C.-C. Chan ◽  
A. Srinivasan
Keyword(s):  
Fuzzy Model ◽  
Model Based ◽  
Predictive Controller
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