Research on optimization design method of actuator parameters with stepless capacity control system for reciprocating compressor

Actuator and hydraulic system parameters have great influence on the performance, safety and reliability of the stepless capacity control system of reciprocating compressor. Due to the diversity and complex relationship of parameters, traditional parameters selected and calculated based on feasibility can’t make the system run efficiently, have limitations, and may have adverse effects on the system or compressor. Therefore, taking the spring stiffness of the actuator and the impact velocity of ejection, the inlet oil pressure of the hydraulic system, and the indicated power deviation of the compressor as objective functions, the multi-parameter and multi-objective optimization research of the actuator and hydraulic system with the stepless capacity control system based on non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) is carried out.Based on fuzzy analytic hierarchy process(FAHP), the optimal solution is selected from the Pareto front, and compared with the traditional design value, the result is better than that obtained by the traditional design method.