Multi-PID Controller Parameters Optimization Of 0.6MN Fast Forging Hydraulic Press Based On Genetic Algorithm Optimization

Fast forging hydraulic press is heavy machinery equipment mainly used for metal forming. As a result of forging speed control accuracy, high degree of automation, a wide range of technology and energy and materials saving, fast forging hydraulic press is widely used in industrial production. And the equipment level of fast forging hydraulic press machinery manufacturing reflects a national manufacturing level and ability. The electro hydraulic servo system is the key to improve the speed forging hydraulic machine operating characteristics and quality of forging products, and the research of forging hydraulic press hydraulic control system and control characteristics indicates that the control performance of the electro hydraulic servo system is very different with the different press trip and forging frequency, and the constant PID parameters controller cannot fix the forging process requirement that makes the fast forging hydraulic press have ideal control performance for different working conditions. Parameter adjustment of multi-PID controller based on the experience of trial and error is not only time-consuming but also the tuning effect is not ideal.In this paper, parameters optimization method of multi-PID controller based on improved genetic algorithm is presented in response to these problems with 0.6MN fast forging hydraulic press for the study as the object of the research, the expert database of prameter adjustment is established for different working conditions to optimize speed forging hydraulic press control characteristics. Hence to improve the overall level of fast forging hydraulic press, and to provide technical support for modern fast forging hydraulic press hydraulic servo system.Combined with the 0.6MN fast forging hydraulic press electro-hydraulic servo control system and technical parameters, the mathematical model of electro-hydraulic servo system controlled independently by Four-channel-load ports is founded based on the mechanism modeling method. Afterward, The identification experiment based on 0.6MN fast forging hydraulic press electro-hydraulic servo system experimental platform is completed. Combined the data of the identification experiment with mathematical model founded before, the parametric model of 0.6MN fast forging hydraulic press electro-hydraulic servo system is achieved. The relevant parameters of the system mathematical model and the simulation model are corrected according to the above identification experiment. The verification of correctness for the identification mathematical model is completed in the time domain and the frequency domain.Parameters optimization of multi-PID controller by genetic algorithm is achieved based on simulation models optimization. The improvement of scale transformation for fitness function is completed to prevent the remaining local optima of genetic algorithm. The parameters of PID controller are optimized by improved genetic algorithm to under different working conditions, and the effectiveness of the genetic algorithm is simulation analyzed by MATLAB. The research of the experiment based on 0.6MN fast forging hydraulic press electro-hydraulic servo system experimental platform is completed. It proved that multi-PID controller optimized by genetic algorithm make control performance of fast forging hydraulic press system to be improved significantly.