A Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy

The focus on renewable energy is increasing globally to lessen reliance conventional sources and fossil fuels. For systems work at their best produce the desired results, precise feedback control required. Microbial electrochemical cells (MEC) are a relatively new technology for energy. In this study, we design implement model-based robust controller continuous MEC reactor. We compare its performance with those of traditional methods involving proportional integral derivative (PID), H-infinity (H∞) PID tuned by intelligent genetic algorithms. Recently, dynamic model reactor was proposed, which describes complex dynamics through set nonlinear differential equations. Until now, no approaches have been proposed. optimal output continuous-reactor system, linearize state linear time-invariant (LTI) state-space representation nominal operating point. LTI used four different types controllers. designed controllers simulated, performances evaluated compared various conditions. Our findings show that structured fractional transformation (LFT)-based H∞ approach much better than other against parameters. study provides numerous possibilities applications processes.