Design Of Digital Intelligent Dc Speed Reguating System

After Frequency Conversion Technology appeared, AC speed regulation method had always impacted DC Speed Regulation, but Generally speaking, especially the status in our country, in addition to digital DC Speed Regulation emerged, it improving the precision and the reliability in DC Speed Regulation System. DC Speed Regulation was also in the important status.Speed stability, speed ratio, acceleration, deceleration are the four factors in DC Speed Regulation System, the last two factors already reached well in industry application. But the Stability index does not match the desired purpose. Stability index is that the DC motor running in the precision range on desired speed, even if the system has uncertain disturbance. It is hard to realize because of adaptive ability digital DC Speed Regulation device is not enough when in the condition of the load parameters change unpredictably.Fuzzy control does not need precision mathematic model to conquer the shortcoming in routine digital DC Speed Regulation. We can combine with the PID adjuster and fuzzy control, focusing on theory research and realization of fuzzy-PID compound control scheme, design relevant DC Speed Regulation System was designed in the dissertation. This scheme is based on the core of AT89S51 single chip, Precision Motion Controller LM629 and some peripheral circuits, Fuzzy Self-tuning PID is the control strategy, This dissertation also introduce the plan of hardware and software, including DC motor control module, protect circuit, driver module, examine circuit and so on in detail, if explained the method of control and the thought of software, this system got used to the trend of digital power in the international, used the single micro-computer fully, and improveed the general use of the power.Many experiments results showed that all performance indexes of Parameter Self-Adjusting Fuzzy Logic PID Controller was in advance of those of the simple fuzzy controller and the conventional PID controller. Especially, the adaptive fuzzy controller was robust.