The Ultrasonic Motor (USM) is a new type motor that get driven by frictional force. At present, since USM has excellent features, it is used in various fields such as in autofocus of cameras, actuators of devices in MRI environment, and micro robots. However, because the dynamic characteristics of USM vary according to different temperature, humidity, and load conditions, mathematical modeling of USM is difficult. Thus, PID control has been used for control of USM conventionally. However, conventional PID control with fixed gains cannot compensate the non-linear characteristic variation of USM. In this research, we propose a Novel Hybrid PSO (NH-PSO) for USM control. This proposed method applies Particle Swarm Optimization (PSO) method to tune the optimized PID gains automatically. The optimized gains in USM control can be obtained in real time by using the proposed method. The control of USM with high accuracy can be achieved by applying the proposed method compensating the characteristics.