Adaptive control of wet clutch pressure based on improved genetic algorithm
Aiming to improve the accuracy of wet clutch pressure control of tractor power shift transmission(PST),a model-free adaptive control method for wet clutch pressure based on improved genetic algorithm is proposed.Firstly,the mathematical model of the wet clutch hydraulic system was analyzed and established,and the clutch pressure controller was constructed based on the partial form dynamic linearization based model free adaptive control(PFDL-MFAC)algorithm.Then,the variable-proportion elite retention strategy,K-means clustering algorithm and catastrophe strategy were introduced to improve the genetic algorithm,and a PFDL-MFAC controller parameter tuning method based on sensitivity analysis and improved genetic algorithm was proposed.Finally,the clutch pressure control test based on the tractor transmission control unit(TCU)hardware-in-the-loop test platform was carried out.The results show that the improved genetic algorithm has better convergence speed and optimization accuracy.Compared with PID,PFDL-MFAC has faster clutch pressure response and better robustness,which can meet the requirements of tractors.At the same time,the shifting quality of the transmission based on the algorithm in this paper is better.The research results provide a basis for improving the shifting quality of power-shift tractors.
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