33results about How to "Realize online optimization" patented technology

The invention provides a distributed coordinated control optimization method for an urban rail transit ground supercapacitor energy storage system, and belongs to the technical field of urban rail transit supercapacitor energy storage system control. This method obtains the SOC state of the supercapacitor, the state of the substation and the running state of the train, and constructs a state set; takes the supercapacitor of each substation as an energy storage agent, and analyzes the energy flow theory and multi-objective coordination optimization of the traction power supply system The function determines the income function of each energy storage agent; constructs a multi-agent dynamic game model, based on this model, combines the distributed Q-learning algorithm to solve and optimize the distributed coordinated control of the ground supercapacitor energy storage system. The invention performs distributed and independent control on each energy storage system, effectively reduces the computational complexity, and improves the reliability of the control strategy; combines the dynamic cooperative game theory and the reinforcement learning theory, and the efficiency of the game equilibrium point is effectively improved. Therefore, it can Realize the online optimization of the overall energy-saving effect of the full-line energy storage system.

The invention discloses a method for controlling the elongation of a hot-dip galvanized four-roller skin pass mill, which belongs to the production control method in the field of cold-rolled strip steel. The present invention first establishes PID model parameter data storage variables, and calls PID parameter data and randomly fluctuates in the range of 5% when the head of a new coil of strip steel is close to the tempering machine. When the head of the strip passes through the tempering machine and the deviation between the elongation rate and the target value is greater than 0.2, execute the deviation statistics program, record the maximum value of the elongation rate deviation and the PID adjustment amount index within 30 seconds, and then determine the maximum elongation rate deviation Whether the value is greater than the original storage data and whether the adjustment index is smaller than the original storage data, if both conditions are met at the same time, the process parameters after random fluctuations are overwritten and stored in the data storage variable. Realize the automatic update process of PID parameters and achieve better elongation control effect.

The invention discloses an expert control system based on a batch type coating machine. The system comprises a coating machine, an image detection system and an expert system. The expert system consists of a control cabinet and a display screen; a human-computer interaction interface, a knowledge base module, an inference engine module, a feedback self-learning module and a control center are arranged in the control cabinet; the control center is an industrial personal computer electrically and bidirectionally connected with the human-computer interaction interface, the feedback self-learningmodule and a PLC control module of the coating machine respectively; the human-computer interaction interface is in electrical output connection with the knowledge base module; the feedback self-learning module is in electrical output connection with the inference engine module; and a signal input terminal of the feedback self-learning module is further in signal connection with a signal output terminal of an image detection system and is used for receiving the coating qualification rate fed back by the image detection system. According to the invention, the processing parameters are automatically optimized and combined for different seeds; the efficiency is improved, the dosage of a coating agent is saved, and the effect is remarkable on the premise of meeting the coating quality and qualification rate.