PROCESS NEURON NETWORK CONTROL SYSTEM AND METHOD FOR ITS CONFIGURATION WHILE TEACHING

摘要

The neuron network process controlling system relates to computer information control systems and can be used in the construction of intelligent computer-aided control systems of dynamic processes or objects. The system comprises an external entity, at least, one process environmental control and a Programmable Automation Controller, a database, a display monitor and a computer. Herewith it additionally comprises a neuron network control programmable controller-synthesizer to include a neuron network teaching control, a control function neuron network emulator, control training neuron network controller and database. The database involves generic model control bank, a evolutionary simulation genetic algorithm bank, training custom pattern library of artificial neuron networks, control calculus system of errors, a situation analyzer and a strategy selection. For each process environmental control there is an external object controlling control neuron controller. The external object is connected sensors, actuating mechanisms, an analogue and discrete signal module, a videocamera and an external object control neuron network actuating controller. The technical result is synthesis problem solution and simulation of dynamic control environmental object operating characteristics with opportunities of forecasting and analysis of their conduct with selection target for optimal control and implementing it with the help of corresponding peripheral devices, carrying out system diagnostics and external objects.