Adaptive DC Speed Control System Based On DSP

This paper mainly focuses on the control strategy of the time-variant nonlinear DC speed control system. To cope with the characteristics of constant parameter and nonadaptive of the traditional PID, the neural network has been brought in. The traditional PID/PI controller is replaced by the combination of CMAC and PD controller, and it is applied on the DC motor based on DSP.With the TCETEK-F2812-A evaluation board as the system development platform, the periphery control curcuits of DC motor are designed. By fully using the rich resourses of the chip, the hardware design has greatly been simplified, so does the cost. It is also a good way to achieve the complicated control strategy by using the high-speed computing power of DSP.The details of the hardware and software design method and the adopted adaptive control strategy are given, on which the experiments are carried. To deal with the poor performance appeared in the experiments, the analysis of the conventional CMAC working principle and characteristics of DC speed control system has been carried out. The dynamic error replaces the given value as the input signal of CMAC, that is, the feedforward is changed into the feedback. Moreover, aiming at the over-study condition causing oscilliations through running a long time period, constraints are added to the correction weight and generalized ability in the steady status. The results show that it has an ideal control outcome, and the over-study is inhibited.Based on abundant experiment results, the following conclusion can be made. The proposed adpative DC speed control system based on DSP has a good overall performance by using the advantage of CMAC, which are good nonlinear approaching ability, fast online studying rate and small output error. What's more, it can adapt to the environment or changes of parameters, and has an excellent performance and superious adaptation ability. Therefore, it is worthy of practical application and popularization.