{'fraction_non_alphanumeric': 0.009887005649717515, 'fraction_numerical': 0.0, 'mean_word_length': 5.274336283185841, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Multi-layer Neural Network for Servo Motor Control

AC servo systems are extensively used in robotic actuators and are competing with DC servo motors for motion control because of their favorable electrical and mechanical properties. This paper presents an approach towards the control system tuning for the speed control of an AC servo motor. An approach towards speed control of servo motor in presence of system parameter variations is presented. Multi-layer Artificial Neural Networks are designed and trained to model the plant parameter variations. Improvements in the speed control performance are presented for smaller variations and larger variations in the motor parameters and the load conditions.