The fractional order PID control of dual-nozzle-flapper pressure servo valve based on the method of particle swarm optimization

Yong Cao; Xuegong He; Yuanbo Chu

doi:10.1117/12.3026941

8 April 2024 The fractional order PID control of dual-nozzle-flapper pressure servo valve based on the method of particle swarm optimization

Yong Cao, Xuegong He, Yuanbo Chu

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309030 (2024) https://doi.org/10.1117/12.3026941
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Dual-nozzle-flapper pressure servo valve (DNFPSV) is frequently used in the field of aircraft landing gear brake system, which belongs to a typical complex electro-hydraulic servo system. Gradual wear and fatigue will occur in actual service, which will inevitably lead to the deterioration of the key parameters of the servo valve and eventually lead to the deterioration of property to the valve. Taking the DNFPSV as the research object, this paper first explains its working mechanism, and completes the whole valve mechanism model by using the lumped parameter method; Secondly, the delivery pressure of the servo valve is closed loop fed back to the input, and an integer order PID controller and a fractional order PID (FOPID) controller based on particle swarm optimization (PSO) are designed for the closed loop control of the DNFPSV; Finally, the FOPID simulation model of DNFPSV based on PSO algorithm is built and the simulation analysis is completed. The simulation results show that compared with the integer order PID (IOPID) algorithm, the FOPID control algorithm based on PSO has better dynamic and static control effect, and can be used for the effective control of DNFPSV.

Citation Download Citation

Yong Cao, Xuegong He, and Yuanbo Chu "The fractional order PID control of dual-nozzle-flapper pressure servo valve based on the method of particle swarm optimization", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309030 (8 April 2024); https://doi.org/10.1117/12.3026941

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