Design and implementation of fuzzy based robust controller for process control instrumentation

Abstract

Precised and robust controllers are need of Industries like Chemical, Petrochemical plants which required to operate with the defined parameters and unknown disturbances. Therefore a robust controller is required to maintain process parameters. Conventional PID Controller tuning requires lot of mathematical hard work. Though, mathematical controllers are easy to implement, but are not précised one. Also, the tuned parameters of PID Controller for a particular setup will not be optimum when the system physical parameter is changed, then the controller should be robust to overcome such scenario. An approximate mathematical controller for real time applications requires complex considerations. Previous knowledge on system characteristic equation as PID controller is not required while implementing Fuzzy Logic Controller. Fuzzy Logic Controller based on theory of approximate mathematical reasoning enables to treat decisively and precisely. This paper focuses on design and implementation of fuzzy based control to utilize human intelligence and reasoning. The fuzzy logic control is implemented using Fuzzy Logic Toolkit in LabVIEW software and tested with Process Control temperature and level loops. Data Acquisition is done using NI cFP AIO-610 with NI cFP-2020 PAC modules.