Traditional DVS algorithms have inherent limitation on their capability in energy management because the system performance is not considered. A DVS-based performance-aware feedback scheduling algorithm is proposed to overcome this limitation. In the proposed feedback scheduler, DVS technology and fuzzy control technology are used respectively to design the CPU voltage adjustment module and control tasks periods adjustment module. CPU speed and control tasks sampling periods are dynamically regulated by this two-module scheduler. Simulation results show that the proposed algorithm is able to ensure the system control performance while further reduce the energy consumption of the system by comparing with the DVS feedback scheduling algorithm based on fixed sampling periods.