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The Application of Neuron Self-adapted PID Controller in Electric Stoves of Mechanical Test Machine

Author: WuWeiBing
Tutor: FangMin
School: Hefei University of Technology
Course: Control Theory and Control Engineering
Keywords: PID control Neuron Adaptive PID Integral Separation Smith Predictor PSD control algorithm
CLC: TP273
Type: Master's thesis
Year: 2005
Downloads: 287
Quote: 0
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Abstract


PID control technology is a very common application of control technology , has a wide range of applications in many ways . In this thesis, in accordance with the \Smith predictor and PSD control algorithm and system analysis and research . From the traditional PID control theories , the mechanical test mechanical and electrical furnace controlled object , using PID control and the introduction of Smith predictive control algorithm , were not satisfied with the control . Then discussed Delta and Hebb learning rule - based single neuron PID controller , using neurons with self- learning and adaptive capacity improved PID regulator , can be solved to some extent traditional PID controller is not easy online real-time the lack of tuning parameters , and effectively improves the instability of the control effect due to the result of the system structure and parameters change . However , the simulation results show that when the the object delay or controller gain is too large , the system output overshoot oscillation increased even instability in the electric furnace . Finally, against the accused objects to the presence of large inertia, pure hysteresis characteristics , the in-depth study Based on Integral Separation , Smith predictor and PSD control algorithm, and they Neuron PID Control together . Through a large number of simulation experiments , the results show that the the neuron controller under the integral separation algorithm can effectively overcome the the system input mutation caused by the the output overshoot oscillation phenomenon ; introduced the Smith predictor neuron controller object to avoid delay over big lead to system instability ; neuron PID controller based on PSD algorithm can effectively compensate for the deficiencies of ordinary neuron controller gain can not be adjusted online .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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