This paper presents the design and implementation of neural network controller for reducing torque ripples in brushlessDC (BLDC) motor drive with trapezoidal back-emf. The performances of the proposed neural networkcontroller are compared with the corresponding fuzzy PI controller and conventional PI controller. Simulation results are used to show the abilities and shortcomings of the proposed ...

Permanent Magnet Brushless DC (PMBLDC) machines have found immerse applications in automobile, automation, consumer electronics, medical and industrial applications due to their high efficiency, long operating life ratio of torque delivered to the size and fast dynamic response. In a brushless motor, the rotor incorporates the magnets, and the stator contains the windings. Commutation is implem...

The space vector modulation (SVPWM) of Brushless DC motor (BLDC) is different from that of permanent magnet synchronous motor for its turn-off phase and trapezoidal back electromotive force. To overcome these problems, a SVPWM method is presented in this paper. The application of SVPWM to Brushless AC drives has been investigated extensively. This paper describes its application to BLDC drives ...

The goal is to achieve system robustness against parameter variations and external disturbances. Suitable PID control gain parameters can be systematically on-line computed according to the developed adaptive law. To reduce the high frequency chattering in the switching part of the controller, the boundary layer technique is utilized. The proposed method controller is applied to a brushless DC ...

In this paper, a kind of design of BLDM (Brushless DC motor) controller based on SOPC (System on programmable chip) is introduced. CPU, BLDM switching, PWM generator, and data acquisition module are integrated in a single FPGA chip. This design improves the integration, antiinterference and makes the system easy to promote. Experiment result has proved that the steady and dynamic performance of...

As brushless DC motor (BLDCM) is a multivariable and non-linear system, using conventional PID control can not obtain satisfied control effect. Based on the mathematic model of BLDCM, a fuzzy neural network controller is designed, and the membership function is composed by Guass function. The system illustrates that excellent flexibility and adaptability as well as high precision and good robus...

Figure 1. The bionic prosthesis’ mass of 2.0 kg is equivalent to a biological foot and partial shank of an 80 kg person. The prosthesis includes a carbonfiber in-series leaf spring, unidirectional parallel leaf spring, and heel and forefoot leaf springs that provide elasticity. A series-elastic actuator performs negative and positive work. The actuator is comprised of a 200-Watt DC brushless mo...

This research paper deals with the two closed loop speed control algorithms namely Six-Step and Direct Torque Control for Brushless DC Motor Drive. These two control techniques are critically evaluated for the performance comparison in terms of efficiency, steady state response and transient condition. The simulation models of the two controllers are developed in MATLAB/SIMULINK environment. Th...