Application of fuzzy adaptive control to a MIMO nonlinear time-delay pump-valve system

Area of Science:

• Engineering
• Control Systems
• Fluid Dynamics

Background:

• Pump-valve systems often suffer from off-design operation, impacting reliability and efficiency.
• These systems are complex nonlinear multi-input-multi-output (MIMO) systems with inherent time delays.
• Accurate system modeling is challenging due to unmeasurable time delays and nonlinearities.

Purpose of the Study:

• To develop a control strategy that balances reliability and efficiency in pump-valve systems.
• To address the challenges posed by inaccurate system models and time delays.
• To improve the overall control performance of pump-valve systems.

Main Methods:

• A fuzzy adaptive controller was employed to approximate system parameters and control the delay-free model, circumventing limitations of direct feedback linearization.
• An extended Smith predictor was utilized to compensate for system time delays, even with an imprecise system model.
• Experimental validation was conducted to assess the proposed control strategy's effectiveness.

Main Results:

• The fuzzy adaptive controller successfully approximated system parameters and controlled the system.
• The extended Smith predictor effectively compensated for time delays using the approximate model.
• Experimental results demonstrated well-achieved control performance, validating the strategy's effectiveness.

Conclusions:

• The proposed control strategy effectively balances reliability and efficiency in pump-valve systems.
• The combination of a fuzzy adaptive controller and an extended Smith predictor offers a robust solution for systems with model uncertainties and time delays.
• This approach provides a viable method for improving the operational performance of complex pump-valve systems.