This paper presents a multiobjective fuzzy genetic algorithm optimization approach to design the submersible induction motor with two objective functions: the full load torque and the manufacturing cost. A multiobjective fuzzy optimization problem is formulated and solved using a genetic algorithm. The optimally designed motor is compared with an industrial motor having the same ratings. The re...

This paper focuses on the design of power management strategy for four-wheel independent drive electric vehicles (4WID EVs). Since the efficiency of the motor and inverter is different under different driving conditions, genetic algorithm based optimal energy management strategy is proposed to maximize the efficiency of motor drive systems. Not only the efficiency of motor, but also the efficie...

This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control in direct torque control induction motor drive. Genetic algorithms are used to tune the PI controller gains to ensure optimal performance. The performance of the two controllers are investigated and compared for differen...

BACKGROUND Mechanical torque devices (MTDs) are one of the most commonly recommended devices used to deliver optimal torque to the screw of dental implants. Recently, high variability has been reported about the accuracy of spring-style mechanical torque devices (S-S MTDs). Joint stability and survival rate of fixed implant supported prosthesis depends on the accuracy of these devices. Currentl...

This paper presents mechanical characteristics of Switched Reluctance Motor (SRM) when it operates in Discontinuous Conduction Mode (DCM) or in Continuous Conduction Mode (CCM), i.e. when the current through the phase coils (windings) flows discontinuously or continuously. Firstly, in order to maximize the output power of SRM optimization of its control parameters was performed, such that the p...

Model-based, torque-level control can offer precision and speed advantages over velocity-level or position-level robot control. However, the dynamic parameters of the robot must be identified accurately. Several steps are involved in dynamic parameter identification, including modeling the system dynamics, joint position/torque data acquisition and filtering, experimental design, dynamic parame...

This paper presents the design considerations for a fractional slot multi-phase modular permanent magnet (PM) machine with single-layer concentrated windings. The winding factors for various slot/pole number combinations are calculated to identify the optimal slot/pole number combinations for different phase numbers. In addition, the electromagnetic performance influenced by flux gaps (FGs), su...

When a robot system collides with its environment, unexpected position errors occur due to the effect of impact. Large actuation effort may grow up to compensate for these errors. The sudden increases of actuator torque may violate the torque limit. In this papec we propose to employ redundant actuation mode to facilitate disturbance rejection. An optimal loud distribution algorithm for redunda...

When a robot system collides with its environment, unexpected position errors occur due to the effect of impact. Large actuation effort may grow up to compensate for these errors. The sudden increases of actuator torque may violate the torque limit. In this paper, we propose to employ redundant actuation mode to facilitate disturbance rejection. An optimal load distribution algorithm for redund...