A mathematic model of electro-hydraulic servo driving force control system for a hydro-pneumatic suspension was established. This paper analyzed the control method usually used in wave form reappeared. The fixed step phase and amplitude control method use ADALINE neural network based on Widrow-Hoff learning algorithm was emphatically introduced aiming at sine wave reappearing. This paper put forward phase and amplitude control improved method use relative quantity based on the analyses of the algorithm the convergence speed influencing factors. This learning algorithm and absolute amount control method were used to control a kind of hydro-pneumatic suspension force loading system model. The convergence rate, the relationship between convergence time and input signal’s frequency and amplitude, the relationship between algorithm convergence value and input signal’s frequency and amplitude was presented. Outcome shows that using the relative value as the input of the phase and amplitude control could improve the convergence speed and the reappeared precision of sine wave effectively. The phase and amplitude control can get better practical effect. 