Hybrid fuzzy logic and pid controller based ph neutralization pilot plant
This work addresses control performance issues in the process control industry, but it appears incremental as it combines existing fuzzy logic and PID methods.
The paper tackled the challenge of controlling highly nonlinear chemical processes by developing an optimized mathematical model and a hybrid fuzzy logic-PID controller, which was practically implemented and validated on a pH neutralization pilot plant.
Use of Control theory within process control industries has changed rapidly due to the increase complexity of instrumentation, real time requirements, minimization of operating costs and highly nonlinear characteristics of chemical process. Previously developed process control technologies which are mostly based on a single controller are not efficient in terms of signal transmission delays, processing power for computational needs and signal to noise ratio. Hybrid controller with efficient system modelling is essential to cope with the current challenges of process control in terms of control performance. This paper presents an optimized mathematical modelling and advance hybrid controller (Fuzzy Logic and PID) design along with practical implementation and validation of pH neutralization pilot plant. This procedure is particularly important for control design and automation of Physico-chemical systems for process control industry.