Proportional-integral-derivative (PID) control is an effective approach in process systems such as petroleum plants and chemical plants. Actually, PID controllers have been employed for more than 80% of real systems in process industries. When a PID controller is employed, determined PID parameters strongly affect control performance. Therefore, lots of tuning schemes for PID parameters have been proposed. Moreover, much knowhow has been in industries. However, according to the internal model principle, PID controllers do not work effectively to systems with periodic disturbance. Therefore, some defective products are produced and it may be a waste of resource. The products can be reduced by using advanced controllers. However, advanced controllers are not employed widely because the knowhow of operators to tune PID parameters cannot be applied. Furthermore, it is important to employ research results widely for green innovation. Therefore, it is required to suggest an advanced control method that can be applied with their knowhow. In this paper, the generalized minimum variance control (GMVC) is applied to remove the influence of periodic disturbance. The GMVC controller has the internal model of the periodic disturbance. Then, the augmented system constructed by GMVC is designed so that the system has the same characteristics of the controlled object. Moreover, a PID controller is designed to the augmented system. As a result, the operator can regard the controlled object as the system without periodic disturbance, and the conventional tuning knowhow can be employed to the PID controller. The effectiveness of the proposed method is evaluated by a numerical simulation example.