Abstract
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.
Highlights
Osteosynthesis is the surgical practice of reducing and stabilizing fractured bones using mechanical connectors such as metal plates, wires or screws
The controller designed using this technique is termed as Brain Emotional Learning Based Intelligent Controller (BELBIC)
This paper deals with the performance study of proposed Brain Emotional Logic Based Intelligent Controller (BELBIC) based chopper for the speed control of permanent magnet DC (PMDC) motor used in bone drilling and screwing applications
Summary
Osteosynthesis is the surgical practice of reducing and stabilizing fractured bones using mechanical connectors such as metal plates, wires or screws. Conventional PI or fuzzy logic controllers have been proposed for the speed control of PMDC motor in mechatronic drilling systems [18]-[20]. The controller designed using this technique is termed as Brain Emotional Learning Based Intelligent Controller (BELBIC). This paper deals with the performance study of proposed Brain Emotional Logic Based Intelligent Controller (BELBIC) based chopper for the speed control of PMDC motor used in bone drilling and screwing applications. The performance study reveals that the use of the proposed BELBIC based chopper controlled drive results in improved steady state and transient state responses in terms of maximum overshoot, steady state error and motor deceleration time when compared to its traditional counterpart
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