چکیده:
Currently, well-known (PID) controllers are most widely used in process industries. However, real systems are often nonlinear and contain high-order dynamics and dead time, all of which reduce the performance of these controllers. Therefore, the design of a cascade control using fuzzy logic is proposed, where a new set of fuzzy logic rules is added to a standard Fuzzy Logic Controller (FLC) to create a Fuzzy Controller with Intermediate Variable (FCIV). In this structure, the controller assumes fuzzy logic and employs two fuzzy feedbacks, similar to a cascade controller, to achieve minimum overshoot and the fastest convergence. The proposed design, for which the response of various types of controllers is assumed, is tested on a nonlinear chemical process, and its performance and results are compared with other controllers. The goal of comparing different types of controllers for a nonlinear process is to demonstrate the lack of appropriate response at different input times.
خلاصه ماشینی:
Response of Fuzzy Controller with Intermediate Variable for Nonlinear Processes (FCIV) Mohammad Barati1*, Hossein Hamzeh-Louei2 1- Master's student in Electrical Engineering - Control, University of Tafresh 2- Bachelor of Electrical Engineering - Control, Amirkabir University of Technology Barati.
(Refer to the page image) Figure 2- FCIV fuzzy internal design The input and output conditions for this controller are defined as per formula (1): (Refer to the page image) · c1 Set (n) is the desired value or Set Point.
(Refer to the page image) Figure 9- Process responses under different controllers Figure (10) shows the responses when the inlet temperature to the heat exchanger tank changes at different times and for different values.
(Refer to the page image) Figure 11 - Responses of cascade control strategies for output concentration control for the mentioned disturbances 6- FCIV Performance Figure (12) is a detailed diagram that shows: 6-1) Response of primary and secondary variables 6-2) Fuzzy input variables 6-3) Fuzzy output variables The data in Figure (11) was taken to create a temperature disturbance in the heat exchanger tank (10 degrees Fahrenheit).
(Refer to the page image) Figure 13- Fuzzy analyses in non-linear responses 8- Other disturbances Figure (14) shows the control performance using a PID controller, PID controllers in a cascade environment, and the FCIV controller for various disturbances.
(Refer to the page image) Figure 16- Main variable signals (output concentration) without noise for the FCIV controller 9- Conclusion A nonlinear system was assumed with various types of controllers, and their responses were investigated.
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