An Intelligent Control System For Operational Temperature In Hydrogen Generator By Water Electrolysis

Aiming at the features of existing temperature control loop for hydrogen generation by water electrolysis, one kind of fuzzy self-adaptive PID integrated control loop with Smith prediction is put forward. The main controller used for this loop is one kind of PID controller parallel with fuzzy control function. In accordance with the difference between operating temperature and its set-point value, different control method will be used: initially, fuzzy controller will be used in order for operating temperature to be controlled and regulated approaching to its set-point value, in the middle stage, intelligent self-adaptive PID controller with Smith prediction is to be activated in order to make the control loop to be able to self-adaptation and lag compensation. By means of such design, the ideal stability accuracy can be realized and good dynamic features and perfect self-adaptation can also be functioned to solve uncertainty of models and outer interference.In order to improve the control performance of existing temperature control loop, the basic concept and control principle of fuzzy control loop are to be studied and emphasized. A deeper research on fuzzy control algorithm of fuzzy control loop is conducted, combined with its features, this fuzzy controller is used and combined with operating temperature control loop of hydrogen generation to form the PID control loop based on fuzzy controller. In order to overcome the effect to dynamic performance of control loop by pure lag factor, based on the integrated control loop, a kind of Smith prediction compensation is designed in which, the pure lag can be compensated, also the influence to the integrated control loop by Smith prediction compensation is to be analyzed and concluded.Finally, as per the above analysis on principle of PID controller with fuzzy control and self-adaptation, control sequence is designed which meet the requirements, by means of MATLAB simulation, such control sequence is to be validated. The results make clear that, the designed intelligent PID regulating and control loop on operating temperature can be better satisfied by the control requirements.