Advantages of an Easy to Design Fuzzy Predictive Algorithm: Application to a Nonlinear Chemical Reactor

Advantages of a fuzzy predictive control algorithm are discussed in the paper. The discussed fuzzy predictive algorithm is a combination of a DMC (Dynamic Matrix Control) algorithm and Takagi-Sugeno fuzzy modeling inheriting advantages of both techniques. The algorithm is numerically effective. Moreover, information about measured disturbance can be included in it in an easy way. A simple and easy to apply method of fuzzy predictive control algorithms synthesis is presented. The advantages of the fuzzy predictive control algorithm are demonstrated in the example control system of a control plant with difficult dynamics - a nonlinear chemical reactor with inverse response.