The invention provides a control system design method. According to the method, distortion of a sound parametric array system signal is improved through neural network opposite identification and control, and a self-adaptive piping and instrument diagram (PID) controller. The method mainly comprises the steps of obtaining a neural network model of an existing sound parametric array system in a training mode through a great number of data obtained through tests for the existing sound parametric array system, obtaining an opposite model of the existing sound parametric array system in a reverse training mode, enabling the identified opposite model to be in series connection with the front portion of the sound parametric array system, achieving a false linear system, and achieving pretreatment for system signal distortion through addition of the auxiliary self-adaptive PID. Compared with the prior system, the control system design method can reduce the sound distortion of the system to a large degree, and has the advantages that due to the fact that training is conducted through random signals, extensive performance is provided, system properties are enabled to be better through the self-adaptive PID controller, a system hardware circuit is simple, an operating process is reliable, a processing result is ideal, and achievement cost is low.