Abstract : Based on the simplification of the differential equation of the driving function and the error integral correction of the control law, this paper discusses the design problem of a class of controllers for position servo systems from an engineering practical perspective. Simulation and experimental results show that the controller implemented using the above method can give the system strong tracking ability and anti-interference ability. Keywords : Position servo system; Controller design; Engineering method; Error integral 1 Introduction The design of a linear quadratic optimal follower involves solving the differential equation of the driving function and processing the disturbance signal. Converting the differential equation of the driving function into an algebraic equation can greatly reduce the amount of computation and make online control possible. However, there is relatively little research on the case where the tracked signal is not a constant vector. The processing of the disturbance signal is usually based on the detection of the disturbance signal, which requires a large hardware investment. This paper discusses an engineering method for the design of a class of controllers for position servo systems. Based on a large number of numerical calculations, the feasibility of converting the differential equation of the driving function into an algebraic equation is confirmed, and an error integral correction term is added to the optimal control. Simulation and experimental studies show that the controller designed using this method can enable the system to track step, ramp, and sinusoidal input signals with high accuracy, and has a good suppression effect on step-type interference without detecting the disturbance signal. For details, please download the "Engineering Methods for Designing a Class A Position Servo System Controller.pdf" file.