Speed control and quantum vibration reduction of Brushless DC Motor using FPGA based Dynamic Power Containment Technique

In modern industrial field Brushless DC Motor (BLDC) is important component of electromechanical energy conversion. The BLDC is used in many application like high power traction, high end pumps etc. In this BLDC motor have a drive to operate in a constant operation but some noise and losses are create, so the various control technique is used to reduce the noise although some harmonic loss is occur in existing system. In that reason a new Dynamic Power Containment Technique (DPCT) algorithm is developed to reduce the harmonic loss and increase the system efficiency. The inverter is used to drive the Brushless DC Motor (BLDC) in a constant speed operation. This proposed control system is replace to classical cascaded method in speed and current control of BLDC motor. The inverter input current is directly control with help of the proposed FPGA based DPCT control system. The proposed system performance is analysis through the MATLAB simulation software. This proposed DPCT model is given the solution of delay issue. Afterward, another immediate pay technique was proposed to foresee the adjustment in current inside the defer time. The existing comparison of two-step predictive strategy, the new method is also easier to develop and can be used for optimized control to choose the best switch state in each cycle.