The invention discloses a forklift
steering control method. The forklift
steering control method comprises the steps that 1, according to a sampling period, a
vehicle frame dip angle phi, a vehicle speed V, an arm frame variation amplitude angle gamma, the arm frame variation amplitude pressure p, a front wheel rotating
angle alpha1, and a rear wheel rotating
angle alpha2 are measured through a sensor; 2, the parameters obtained in the step 1 are normalized in turn, and an input layer vector quantity x={x1, x2, x3, x4, x5, x6} of a three-layer BP neural network is determined, wherein x1 is a
vehicle frame dip angle coefficient, x2 is a vehicle speed coefficient, x3 is an arm frame variation amplitude angle coefficient, x4 is an arm frame variation amplitude pressure coefficient, x5 is a front wheel rotating angle coefficient, and x6 is a rear wheel rotating angle coefficient; 3, the input layer vector quantity is mapped to an intermediate layer, an intermediate layer vector quantity meets the relation of y={y1, y2, ..., ym}, and m is the number of joints in the intermediate layer; 4, an output layer vector quantity o={o1, o2, o3, o4} is obtained, o1 is an engine rotating speed adjustment coefficient, o2 is a steering valve rotating angle adjustment coefficient, o3 is an arm frame length adjustment coefficient, and o4 is an emergency
stop signal; and 5, the engine rotating speed, steering valve rotating angle, and arm frame length are controlled.