Coordinated optimization and management of oxygen content and cathode pressure for PEMFC based on hybrid nonlinear robust control | Science and Technology for Energy Transition (STET)

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Table 1

Recent research analysis.

Reference	Controller design theory	Control object	Deficiency
[15]	Optimization of PID with Artificial neural network	Oxygen content	Neglecting the influence of cathode pressure on PEMFC system
[16]	Optimization of PID with Fuzzy Logic Controller
[17, 18]	Optimum control
[19]	Model Predictive Control
[20]	Model Predictive Control and PID
[21]	Sliding model control
[22, 23, 25, 26]	Intelligent control
[31]	Sliding model control and PID	Oxygen content and pressure	Needing to linearize the system and increase the complexity of the controller
[32]	Adaptive model predictive control
[33]	Reinforcement learning		High performance requirements for actuators

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