30results about How to "Control objectives are clear" patented technology

The invention provides a water management closed-loop control method for a fuel cell. The water management closed-loop control method is characterized in that a theoretical calculating value of the anodic gas pressure drop of the fuel cell is solved, an anodic gas pressure drop control interval for ensuring a good water management state is set, when the numerical value of the anodic gas pressure drop exceeds the control interval, the numerical value is in the control interval again by adjusting the temperature of the fuel cell so as to complete water management closed-loop control, and after the fuel cell is reset to an initial temperature, the fuel cell is still in a good water management state. The water management closed-loop control method has the advantages that the control interval is calculated according to the anodic gas pressure drop theory of water management, so that the control objective is clear; by adjusting the reaction temperature of the fuel cell, the control interval is moved, the numerical value of the anodic gas pressure drop is in the control interval, and the control manner is simple and easy to operate and realize; and an appropriate temperature adjusting numerical value can be solved, the state of the anodic gas pressure drop can be observed in real time, the control objective is clear, the water management control period is short, and the engineering application is facilitated.

The invention belongs to the technical field of transient stability prevention and control aided decision making of a power grid and discloses a transient stability prevention and control aided decision making method based on a security domain. The method comprises the steps that practical dynamic security domain information, power grid operation mode information and control cost information are obtained firstly, then transient stability assessment based on the practical dynamic security domain is performed, control strategy calculation based on transient stability improvement is performed, strategy calculation of node injection power reduction control and node injection power improvement control is performed through alternative iteration, and finally additional control strategy calculation of power grid power balance is performed. Rapid analytical calculation of transient stability control aided decision making is achieved by fully utilizing results of offline and online security and stability assessment, limit calculation and control aided decision making analytical calculation, the accuracy and efficiency of transient stability prevention and control aided decision making are constantly improved, and the method has the important significance on improvement of power grid security and stability operation level and improvement of security and stability control benefits.

A power coordinating controller applied to the photovoltaic storage system, the single-chip microcomputer controls the photovoltaic power generation system and the battery pack, the photovoltaic power generation system and the battery pack are connected to the load, and has voltage acquisition circuits I and II, current acquisition circuits I and II, and DC‑DC Circuit, drive circuit, temperature acquisition circuit; voltage acquisition circuit Ⅰ and voltage acquisition circuit Ⅱ are connected to pins PA1 and PA2 of the microcontroller; current acquisition circuit Ⅰ and current acquisition circuit Ⅱ are connected to pins PA4 and PA5 of the microcontroller; DC‑DC The circuit is connected to the single-chip microcomputer through the driving circuit, and the driving circuit is connected to the pin PA8 of the single-chip microcomputer; the temperature acquisition circuit is connected to the pin PA6 of the single-chip microcomputer; the photovoltaic power generation system is connected to the battery pack through the DC-DC circuit; the first load forms the second load through the step-down circuit. Load available voltage. The invention realizes the cooperation between the photovoltaic power supply and the charging and discharging mode of the storage battery under the maximum power state, and realizes long-term and stable operation of the joint power supply of the photovoltaic power generation system and the storage battery group with a large load.

The invention discloses a feedforward control method for edge drop of a head part and a tail part of strip steel. The feedforward control method comprises the following steps: dividing the head part and the tail part of the strip steel into a plurality of segments along the direction of travel of the strip steel; for each of the segments, performing the following steps: getting n points from the edge part to the center of the strip steel and in the width direction of the strip steel; collecting edge drop values, at the n points, of the incoming strip steel; determining a play value, which corresponds to each point, of a working roll through the following model formula: DeltaWRSi=-ki{[(EC-Ei)-alpha]*beta+m}; calculating the sum DeltaWRS of play values which correspond to the n points; executing the DeltaWRS so as to perform edge drop control. According to the feedforward control method for the edge drop of the head part and the tail part of the strip steel, accurate control can be performed on the edge drop of the head part and the tail part of the strip steel.

The invention discloses an automotive adaptive cruise control method taking multiple targets into consideration. A layer control strategy is utilized, upper layer control can decide an expected longitudinal acceleration according to a target vehicle and a current state of a controlled vehicle, and lower layer control can track the expected longitudinal acceleration through a reverse recursion method. The automotive adaptive cruise control method comprises the following steps: a mutual longitudinal dynamitic model between two vehicles is established, a design model predicating controller can obtain the expected distance between two vehicles according to a constant time headway strategy, a model prediction control algorithm is utilized to decide an expected longitudinal acceleration for tracking the expected distance between the two vehicles, vehicle control work conditions are divided into a driving work condition and a braking work condition, reverse longitudinal dynamic models for the two work conditions are established respectively according to a vehicle driving equation, an expected throttle percentage is obtained according to the vehicle reverse longitudinal dynamic model and the expected acceleration in the driving work condition, and an expected brake pedal openness is obtained according to the expected acceleration in the braking work condition.