This paper presented the design and verification of a vehicle height adjustment and attitude controller for electronically controlled air suspension. For the undesirable phenomenon such as over-charge, over-discharge and oscillation during the vehicle height adjustment process of the electronically controlled air suspension, a neural network PID control method to regulate the gas mass flow rate adaptively was proposed. According to the theory of the vehicle system dynamics and the thermodynamic theory of variable mass charge/discharge gas system, a vehicle height adjustment mathematical model for the electronically controlled air suspension was established. A BP neural network PID controller for vehicle height adjustment was designed and its actual control performance was verified by simulation. During the vehicle height adjustment process, the non-synchronous height adjustment of the four corners would result in the vehicle attitude instability phenomenon. In order to prevent the instability phenomenon, the system local control qualities were revised by fuzzy control algorithm to form the vehicle attitude fuzzy controller. Finally, the vehicle height adjustment control system was realized by D2P rapid development platform to perform vehicle bench experiments. The test results showed that the control system could regulate the vehicle height effectively and restrain the vehicle attitude change during the vehicle height adjustment process.