Chopper driven Permanent magnet DC (PMDC) motors are used to drill bone and fix the screws in orthopaedic surgeries. The drive of the motor employs a traditional or modern controller that has an inner current control loop and an outer speed control loop. As an alternative to traditional proportional integral (PI) controller-based chopper drives, this paper proposes a fuzzy-tuned anti-windup PI (AWPI) controller-based chopper for the speed control of PMDC motors used in orthopaedic surgeries. The proposed scheme was simulated using Matlab/Simulink and physically realized for validation. It is ascertained from the performance analysis that the proposed fuzzy-tuned AWPI based scheme exhibits better steady-state and transient-state responses when compared with traditional PI and AWPI controllers.
In orthopaedic surgeries, permanent magnet DC motors are used to drill the bone and fix the screws. The Motor drive employs an inner current and outer speed control loop with a conventional or modern controller. To enhance the performance of the drive, this paper proposes a Brain Emotional Logic Based Intelligent Controller based chopper drive. The proposed drive scheme has been simulated using Matlab/Simulink and physically realized for validation. A comparative analysis has been made between the conventional PI controller based drive and the proposed system in order to prove that the proposed scheme has an edge over the traditional PI controller scheme counterpart.
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