An Automatic Modulation and Control System Based on ANN

A control system includes a device or a set of devices that are able to manage, directs or regulates the behaviors of other devices or systems. Currently, most of the control systems is constructed with programmable logic controllers (PLCs) or microcontrollers. The notation of ladder logic is still in use as a programming idiom for PLCs. Fuzzy logic is an attempt to apply the easy design of logic controllers to the control of complex continuously varying systems. Basically, a measurement in a fuzzy logic system can be partly true, that is if yes is 1 and no is 0, a fuzzy measurement can be between 0 and 1. This paper introduces an automatic modulation and control system by using artificial neural network (ANN) to automatically manage the control system. In this system, each power point is regarded as a smart node in the neural network. The automatic control heavily relies on the algorithms which should be real-time and parallel. Therefore, BP algorithm is selected to adoption in the FPGA for designing and developing this system.