Design and Implementation of Different Controllers for Nonlinear Lag Dominant Systems

Abstract

Industrial automation and process control has taken a multifold development in the areas of automatic and intelligent control of process variables with reference to the varying control variables. These advancements have provided very precise solutions for many newlinereal-time industrial problems. newlineNon-linear systems with larger order with dominant lag have been quiet difficult in significance with their process performance and stability evaluation. So, the benchmark real time non-linear liquid storage system with second order is prototyped and was chosen for testing the designed and implemented with PI, Fuzzy PI and Embedded controllers. newlineThis research emphasizes the modelling, development and efficiency analysis of the Fuzzy PI controllers and PI controllers for the benchmark interacting non-linear spherical tank system with multiple I/O configurations. Study and analysis of the performance measures of all the designed controllers under the influence of external timed disturbance is performed and their disturbance rejection efficiency is measured. newlineThe work is implemented in three stages in the design, development and implementation of Fuzzy PI controllers and PI controllers for the SSTLLS and DSTLLS. Furthermore, the standalone cRIO Embedded PI Controllers (CEPIC) is implemented and its performance on SSTLLS is tested. This research provides an efficient solution for controlling the varying process variable, water level in this case, for highly delay dominant systems with second order. The experimental verification has been carried out by using appropriate data acquisition mechanism in LabVIEW environment in the real time platform. This research delivers a solution to provide robust, highly responsive and simply newlinedesigned efficient PI, Fuzzy PI and Embedded controllers for the chosen real time nonlinear DSTLLS and SSTLLS systems. It is inferred from this research that the Intelligent and Embedded PI controllers present faster response with minimum error than the traditional PI controllers for the spherical tank liquid le