Sliding mode genetic control algorithm for variable pump driving variable motor
Variable pump driving variable motor (VPDVM) is an essentially nonlinear system with dual-input single-output and coupling. Regular control algorithms are difficult to achieve approving control effects on this kind of system. In this paper, the sliding mode genetic control algorithm is proposed for VPDVM. The algorithm mainly aims at solving problems of nonlinearity and unable-decoupling of VPDVM. First, the mathematical model of VPDVM is established. Secondly, as the model raised above has multiplying nonlinearity including the output variable, this nonlinear model is then linearized by feedback linearization theory. Finally, the sliding mode genetic control algorithm is presented to achieve the rapid motor response of VPDVM. Simulation results demonstrate that the algorithm proposed can implement the desired rapid control on VPDVM, and the performances are better than relative regular control methods. What's more, it's worth to notice that the algorithm can achieve good performance without knowing the gradient of VPDVM model.