Affiliation:
1. NPR College of Engineering and Technology, India
2. PSNA College of Engineering and Technology, India
Abstract
A recent study focused on the optimization of pH control in aquaponics systems by implementing various control strategies. Among the three approaches tested scheduled proportional-integral (PI) controller, nonlinear internal model controller (IMC), and H-Infinity Controller extensive simulations were conducted to assess their performance. The scheduled PI controller exhibited robustness in maintaining pH levels within the desired range under varying operating conditions. However, its performance was found to be slightly inferior to that of the Nonlinear IMC controller, which displayed superior adaptability to the local system dynamics, effectively handling nonlinearities in the pH regulation process. H-Infinity Controller showcased the most promising results, effectively minimizing the impact of uncertainties and disturbances on the pH regulation mechanism. Its robust control mechanism demonstrated remarkable stability and superior performance in maintaining the optimal pH levels for the aquaponics system. The findings provide insights for designing efficient control mechanisms .
Reference22 articles.
1. Water IoT Monitoring System for Aquaponics Health and Fishery Applications
2. H∞ control using multiple linear models.;A.Banerjee;Solar Energy,2018
3. Multi-model adaptive control of a simulated pH neutralization process
4. Adaptive IMC Controller Design for Nonlinear Process Control
5. Effects of RFI in switched capacitor circuit.;K.Kanimozhi;Proceedings of IEEE International Conference INCEMIC’08, NIMHANS,Bangalore,,2008