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Design and Research of the Motion Control Board and Control Algorithm Based on DSP

Author: LiaoYongZhong
Tutor: LiuZhong
School: Hunan Normal University
Course: Circuits and Systems
Keywords: Motion Control DSP Single Neuron PID CMAC
CLC: TP273
Type: Master's thesis
Year: 2006
Downloads: 632
Quote: 12
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Abstract


Motion control technology is an important branch of modern automatic control technology , and it plays an increasingly important role in the industrial production . In recent years , with the rapid development of microelectronics and power electronics technology , motion control system is moving in the general intelligence, miniaturization direction . Open motion control structure , motion control technology will become the mainstream of the motion control technology development in the future . Advanced control technology , on the other hand , is inseparable from advanced control strategy , the neural network of intelligent control technology due to its powerful nonlinear mapping ability and self- learning ability , etc. , in the field of motion control has been widely application TI's TMS320LF2407A as the core control chip to complete the design of the specific implementations of the motion control system , and system hardware structure , control algorithm analysis and design . Completed includes a clock circuit , D / A conversion circuit , CPLD circuit hardware design . In the control algorithm , a detailed analysis of the characteristics of the location of the conventional PID control algorithm , a simple learning algorithm , the convergence speed single neuron PID and CMAC combined composite control : single neuron PID charged parameters of the object changes or changes in the external environment , on-line real-time automatic adjustment of parameters ; CMAC network is used to complete the complex nonlinear inverse model of the controlled object control , it has a small amount of calculation , convergence speed , and no local minima etc., and finally complete algorithm simulation using MATLAB simulation results show that the algorithm combines the advantages of CMAC and single neuron has better robustness and anti-interference ability .

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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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