351results about How to "Improve control stability" patented technology

The invention discloses a maritime work crane with a windproof high-stability structure, and belongs to the technical field of maritime work cranes, the maritime work crane is provided with a supporting column convenient to position and assemble, the upper surface of the supporting column is rotatably connected with a suspension arm, the inner surface of the suspension arm is telescopically connected with a telescopic arm, and the front side of the inner surface of the telescopic arm is rotatably connected with a guide wheel; comprising a main lifting rope rotationally connected to the outer surface of the guide wheel, and the lower side of the main lifting rope is installed on the lower surface of the telescopic arm. An angle monitoring mechanism is arranged, the angle of the rotating frame on the telescopic arm can be conveniently controlled, adjustment of a first straight tooth gear and a first rack can be matched, so that the rotating stability of the rotating frame is controlled, and adjustment of a clamping jaw and a limiting wheel is matched, so that the angle of the clamping jaw on the rotating frame is driven through the limiting wheel; therefore, the angle stability of the clamping jaw and the angle monitoring convenience of the main lifting rope are controlled, lifted goods are prevented from inclining, and danger is avoided.

The invention discloses an aero-engine control system and method based on self-adaptive specified interference cancellation, and belongs to the field of aero-engine control. A disturbance affine form nonlinear mathematical model of an aero-engine is obtained through system identification, a fixed-time disturbance observer is designed to estimate the lumped interference of the system in real time, and the disturbance of the aero-engine is estimated in real time; and a self-adaptive specified interference elimination composite controller is constructed based on a nonlinear backstepping method and a dynamic inverse method, so that accurate control on the rotating speed of the engine is realized. The system adjusts the control quantity in real time based on a backstepping method and a dynamic inverse method, and the controller adopts a non-smooth instruction filter and a self-adaptive dynamic weight distribution mechanism, so that the uncertainty of the system is effectively compensated. The method can effectively cope with uncertainty caused by system parameter perturbation, unmodeled dynamics and external load fluctuation, gives consideration to dynamic and static performance, has high control precision, good anti-interference capability and closed-loop stability, and is suitable for aeroengine rotating speed control under complex working conditions.

The invention discloses a fixed-wing unmanned aerial vehicle predetermined time cooperative path following formation control method, and relates to an unmanned aerial vehicle technology. A multi-unmanned aerial vehicle cooperative path following control strategy based on preset time stability, neural network adaptive control and preset performance control is provided; according to the method, the multiple fixed-wing unmanned aerial vehicles can realize preset time convergence of path following errors and preset time preset performance convergence of control signal tracking errors under the conditions of external disturbance and actuator faults, so that a high-precision and quick-response cooperative path following formation control task is completed; and meanwhile, the control precision and robustness are improved.

The invention belongs to the technical field of spinning tension control, particularly relates to an intelligent self-adaptive spinning tension control method and system, and aims to solve the problems that an existing traditional tension control method often depends on simple PID (Proportion Integration Differentiation) control and is difficult to deal with complex dynamic changes, and the control precision is high. In order to solve the problems of low tension control precision, low response speed and incapability of adapting to various textile materials and process requirements in the prior art, the invention provides the following scheme: the method comprises the following steps of: 1, establishing a detailed tension dynamic model based on the Newton's second law and the quality, acceleration, friction force, gravitational acceleration and external disturbance factors of a fabric in a textile process; 2, converting a kinetic equation of a time domain into a complex frequency domain, and establishing a transfer function of a Laplacian domain to describe the response of the system to input and disturbance; the response speed and stability of the control system are improved, the controller further has the adaptive capacity, and control parameters can be adjusted according to real-time feedback so as to meet control requirements under different working conditions.

The invention discloses a mixing valve opening degree control method, device and equipment and a medium, and the method comprises the steps that when a mixing valve is in a transition working condition from full opening to non-full opening, the current mixing valve opening degree and the mixing valve opening degree change rate are obtained; determining the maximum boost pressure, the minimum boost pressure, the current target boost pressure and the current actual boost pressure, and determining a mixing valve opening change rate correction coefficient and locking time based on the maximum boost pressure, the minimum boost pressure, the current target boost pressure and the current actual boost pressure; wherein the locking time refers to the time for keeping the current opening degree of the mixing valve unchanged; after the locking time is over, the mixing valve opening degree change rate is corrected based on the mixing valve opening degree change rate correction coefficient, and the final mixing valve opening degree change rate is obtained; and based on the current mixing valve opening and the final mixing valve opening change rate, the mixing valve control opening is determined. According to the method, the change rate of the opening degree of the mixing valve is controlled and optimized from the angle of improving the boost pressure control precision.

The invention relates to the technical field of hydraulic servo control systems, and discloses a high-precision hydraulic servo control system and a fault diagnosis method thereof.The hydraulic servo control system comprises a system control module, a hydraulic execution module, a data feedback module, an automatic compensation module and a feedback control module; the system control module is used for receiving and processing an input signal and outputting a control instruction; the hydraulic execution module is used for generating a corresponding hydraulic action according to the control instruction; the data feedback module is used for detecting the actual position and pressure of the hydraulic execution module and transmitting a feedback signal to the automatic compensation module; the automatic compensation module is used for eliminating system errors through a compensation algorithm; the feedback control module is used for comparing the difference between the system output and a set target, generating a deviation signal, and adjusting the input of the system by using the signal, so that the system output is closer to the set target; through the system, the control precision and stability of the hydraulic servo control system can be improved.

The invention relates to the field of robot technology and artificial intelligence, and particularly discloses a thumb independent optimization five-finger manipulator control method based on hierarchical strategy control. The method comprises the following steps: S1, designing a hierarchical strategy control algorithm framework, and obtaining current target object information; s2, dividing a high-level strategy network and a low-level strategy network, wherein the high-level strategy network determines whether to activate the action of a thumb; the low-layer strategy network outputs the action probability of each finger joint based on the decision of the high-layer strategy network; s3, evaluating a strategy optimization effect by using an evaluation module; S4, carrying out training and optimization; s5, repeating the training process in S4; s6, updating the strategy according to the collected experience after the action is executed every time; s7, after training is completed, the model of each finger and strategy parameters learned in the training process are stored; and S8, verifying the performance of the trained model in a simulation environment. According to the invention, the problem of uncoordinated actions caused by excessive coupling between fingers can be effectively solved.

The invention relates to the technical field of lighting control, in particular to a stage lighting lamp and an intelligent control system thereof, and the system comprises a lighting control platform, a lighting information unit, a control performance unit, a working condition performance unit, a management and control analysis unit, an interference analysis unit and an execution response unit. According to the invention, analysis is carried out from two points of control synchronism and working condition operation efficiency, so that the stage lighting lamp is managed and maintained according to the information feedback condition, the lighting control accuracy and synchronism of the stage lighting lamp are ensured, and on the premise that the lighting control is abnormal, the stage lighting lamp can be conveniently managed and maintained. The operation interference condition of the stage lighting lamp is known from the perspective of historical and live operation, data support is provided for subsequent targeted management, and side working condition supervision feedback analysis is performed on operation deviation data to judge whether the operation efficiency abnormity of the stage lighting lamp is caused by cooling and energy supply abnormity or not. The influence of cooling and energy supply on the operation efficiency of the stage illuminating lamp is reduced, and the control stability of the stage illuminating lamp is improved.

The invention discloses a vehicle-mounted unmanned aerial vehicle visual servo precise landing control method considering view field constraints, and the method comprises the following steps: employing virtual plane feature points to form an image moment feature value, and building a decoupling system dynamics model integrating unmanned aerial vehicle dynamics and image dynamics; according to the image shot by the camera at the current moment and the motion state of the unmanned aerial vehicle, acquiring the system state at the current moment; outer ring control and inner ring control are set based on a model prediction control method, an optimization target is set in the outer ring control, attitude constraints are set in the inner ring control, the system state at the subsequent moment is predicted based on the system state at the current moment, and the optimal control at the current moment is obtained to serve as system input; and performing flight control on the unmanned aerial vehicle based on system input. The method disclosed by the invention ensures that the view field visibility is met in the autonomous landing process of the unmanned aerial vehicle.

The invention discloses a control method of a photovoltaic panel installation robot grabbing system based on predictive control. The method is divided into two stages, namely an initialization stage and a prediction control stage, in the initialization stage, mechanical arm modeling is carried out according to DH parameters of a mechanical arm, and a parameter matrix is calculated through feature point information and depth information obtained by a camera to complete program initialization; in the predictive control stage, an MPC algorithm of time delay compensation is added, an optimal solution is solved, a predicted joint speed value is obtained, the speed value is issued to a mechanical arm controller, and the mechanical arm is controlled to move. The problems that time delay is caused by data acquisition and conversion, data transmission and data calculation, and mechanical arm joint accumulative errors are caused are solved, so that time delay errors caused by all parts of the system are reduced, and the control precision and stability of the system are improved.

The invention provides a water rotation flow adjusting valve element with a pressing switch. A pressing operation piece is used for driving a center rod and a first sealing part to move between a first position and a second position. When the center rod and the first sealing part are located at the first position, the first sealing part seals the communication position of the first flow channel and the water inlet, and the center rod is matched with the second sealing part to close the second flow channel; when the center rod and the first sealing part are located at the second position, the first sealing part opens the communication position of the first flow channel and the water inlet, and the center rod and the second sealing part are disengaged to open the second flow channel; the rotary adjusting piece is used for controlling the first sealing part to move between the second position and the third position through the linkage control mechanism to adjust the flow of the first flow channel when the center rod is located at the second position. The invention further provides a shower, a shower controller and a faucet which are provided with the pressing switch water rotation flow adjusting valve element.

The invention discloses a mechanical arm joint servo module torque compensation control method and system, and the method comprises the steps: S1, building a dynamic model of a mechanical arm joint servo module, and obtaining an expected torque, S2, comparing the expected torque with an actual torque monitored in real time, and obtaining a torque fluctuation value, S3, automatically compensating the recognized torque fluctuation value through a PID control algorithm, and carrying out the compensation control of the mechanical arm joint servo module. Adjusting the actual output torque of the joint to be close to the expected torque; according to the method, a dynamic model containing nonlinear factors and a real-time monitoring system are established, accurate prediction and compensation of the torque fluctuation of the mechanical arm joint servo module are achieved, empirical mode decomposition and Hilbert transformation are utilized, the system deeply analyzes the time-frequency characteristics of the torque fluctuation, key physical phenomena such as friction and back clearance are recognized, and therefore the torque fluctuation of the mechanical arm joint servo module is accurately predicted and compensated. Based on the analysis, the system dynamically generates an adjustment control instruction, it is ensured that the mechanical arm joint accurately follows the preset track, and the control precision, stability and reliability of the mechanical arm are improved.

The invention relates to the technical field of sound console, and discloses a balance adjustment method, system and device for a sound console volume controller, and a medium. The method comprises the following steps: processing an audio signal of an input end of the sound console to obtain an initial system parameter matrix; performing probability density function calculation on the initial system parameter matrix to obtain an audio state data matrix and a noise feature data matrix; performing first-order volume control calculation based on the audio state data matrix to obtain a volume control data matrix; performing second-order frequency equalization calculation according to the volume control data matrix to obtain a frequency equalization control data matrix; performing iterative optimization calculation on the control parameters to obtain an optimal control parameter matrix; and performing dual-channel parallel calculation on the transfer function of the volume control channel and the transfer function of the frequency equalization channel to obtain an audio signal of the output end of the sound console, thereby realizing independent adjustment of volume control and frequency equalization, and ensuring high quality of audio output.

The invention relates to a four-wheel independent steering and driving vehicle path tracking control method based on a compound control framework, which comprises the following steps of: 1, establishing a seven-degree-of-freedom dynamical model of a four-wheel independent steering and driving vehicle, and realizing high-performance path tracking by reasonably distributing input parameters; step 2, establishing a deep reinforcement learning transition model, defining a vehicle state and an input parameter of an auxiliary controller, and designing a system reward function to optimize path tracking control performance; 3, selecting a twin delay depth deterministic strategy gradient algorithm to realize deep reinforcement learning, reducing the over-estimation problem of the algorithm, and improving the learning stability; 4, a double-layer control framework is adopted, an upper-layer controller calculates generalized control quantity based on nonlinear model predictive control, and a lower-layer controller distributes the generalized control quantity to each wheel through sequential quadratic programming so as to solve the transverse and longitudinal coupling problem of the vehicle in path tracking control; and step 5, the auxiliary controller based on deep reinforcement learning carries out real-time compensation on the control variable according to the external disturbance and the vehicle state, so that the control precision and stability of path tracking are improved. By means of the method, stable control over four-wheel independent steering and driving vehicle path tracking in a complex environment is achieved, and the adaptive capacity of the system to external interference is enhanced.

The invention relates to the technical field of energy-saving coal mills, in particular to an automatic control system of an energy-saving coal mill, which comprises a pulverized coal processing module used for processing raw coal into pulverized coal through the energy-saving coal mill; the detection module comprises a pressure sensor and a temperature sensor; the pressure sensor is arranged in the energy-saving coal mill and is used for detecting the working pressure in the energy-saving coal mill; the temperature sensor is arranged in the energy-saving coal mill and is used for detecting the temperature in the energy-saving coal mill; the communication module is used for transmitting the detected sensor data to the control module; and the control module is respectively connected with the pulverized coal processing module, the detection module and the communication module, and is used for determining the pre-tightening force of the electric valve according to the variance of the response duration of the electric valve or determining the working pressure in the energy-saving coal mill according to the average delay duration of the operation of the energy-saving coal mill. The control stability of the energy-saving coal mill is improved.

The invention discloses a PMSM (permanent magnet synchronous motor) AC servo system speed control method based on improved particle swarm optimization optimization RBF (radial basis function) fuzzy neural network PID control, the system is composed of a speed outer ring and a current inner ring, and the current ring adopts a PI regulator. A speed loop is designed to be an RBF fuzzy neural network PID speed controller, an RBF fuzzy neural network is optimized by improving a particle swarm optimization algorithm, and optimal parameters kp, ki and kd suitable for the PID controller are output. Simulation analysis and experiment results show that compared with a common PID control strategy, a BP algorithm optimization fuzzy neural network PID control strategy and a particle swarm algorithm optimization RBF fuzzy neural network PID control strategy, the particle swarm algorithm optimization RBF fuzzy neural network PID control strategy based on the improved particle swarm algorithm has optimal control performance; the method has the advantages of being high in dynamic response speed, good in control stability, resistant to load disturbance and high in robustness, and the excellent speed control effect of the PMSM alternating current servo system can be achieved.

The invention discloses a reel-to-reel multilayer printing control method based on improved simulated annealing optimization LQR, and belongs to the field of multilayer printing flexible electronics. According to the reel-to-reel multilayer printing flexible electronic control method based on the improved simulated annealing optimization LQR, initial LQR controller design is carried out on an overprinting system according to a reel-to-reel overprinting system dynamic model, and a simulated annealing algorithm is selected to carry out LQR controller optimization; and self-adaptive annealing, dynamic step length, mixed neighborhood search and other methods are used to make up for the defects of slow convergence speed, difficult temperature control and the like of the traditional simulated annealing algorithm, so as to obtain the optimal control quantity and improve the overprinting precision and control stability of the system. The control quantity optimization of the overprinting system is realized, the control stability of the overprinting system is ensured, and the overprinting precision is improved.

The invention discloses a multi-roller system used after cast film stripping and a stripping chamber with the multi-roller system. The multi-roller system comprises a guide roller, a traction roller and a gravity roller which are arranged on a rack of the multi-roller system. The traction roller is located on the downstream side of the stripping roller, and one or more guide rollers are arranged between the traction roller and the stripping roller at intervals; the traction roller comprises two driving rollers which are arranged adjacently, and the film conveying path is of an S-shaped structure at the traction roller; the gravity roller is located on the downstream side of the traction roller, and the gravity roller and the gravity roller balance weight mechanism are arranged on the same closed chain or arranged on the two closed chains through a synchronous transmission mechanism respectively. According to the scheme, the problems that embossing is generated, the film thickness is affected and the like are avoided, constant tension is provided through gravity or other modes, tension adjustment is achieved, and micro longitudinal stretching is carried out; therefore, the film quality is improved. A negative pressure air curtain device is preferably arranged in the stripping chamber, so that the process environment control stability and the system safety are remarkably improved.

The embodiment of the invention discloses a humanoid robot foot lifting movement training method and device, electronic equipment and a medium. A specific embodiment of the method comprises the following steps: acquiring current observation sample information; generating simulated elevation terrain information; inputting the current observation sample information into an action network to obtain an action probability distribution value set; inputting the current observation sample information into a strategy network to obtain an action evaluation value set; generating a target joint position set according to the action probability distribution numerical value set and the action evaluation value set; inputting the target joint position set into a joint response controller to generate a joint torque set; controlling the humanoid robot to carry out foot lifting and moving training; and ending the training of the motor position control network. According to the embodiment, the humanoid robot is controlled to carry out foot lifting movement training on the rough ground through the motor position control network and the joint response controller, and the movement stability of the humanoid robot and the performance and pertinence of the motor position control network can be improved.

The invention relates to the technical field of industrial prepreg production equipment, and particularly discloses a tension control method for ceramic-based composite material fiber tows, the ceramic-based composite material fiber tows are laid and impregnated through a fiber arrangement machine, and the fiber arrangement machine comprises an unwinding roller for unwinding the fiber tows and a take-up roller for taking up the fiber tows. Tension balance of the fiber tows in the fiber arranging machine in the fiber arranging process and the fiber collecting process is achieved by controlling the rotating speed of the unwinding roller and the rotating speed of the fiber collecting roller. The servo motor is adopted to replace a magnetic powder brake to control tension, and the problem that the tension smaller than the resistance range cannot be controlled due to the fact that the resistance of the magnetic powder brake is large is effectively solved; the unwinding roller and the take-up roller are both controlled by servo motors, a double-closed-loop control mode is adopted, tension control is achieved by adjusting the speed difference of the unwinding roller and the take-up roller, the tension control range is widened, stability is better, resistance influence factors are avoided, and the signal oscillation problem caused by one-way control is optimized.

The invention relates to the related field of satellite communication, discloses a DSAC-T-based satellite attitude adaptive control algorithm and system, and solves the problem that the angular velocity of a satellite continuously swings between a positive value and a negative value in the existing algorithm, so that the stable operation of the satellite can be better controlled, and meanwhile, compared with the prior art, the satellite attitude adaptive control algorithm and system have the advantage that the satellite attitude adaptive control efficiency is improved. The DSAC-T algorithm has a faster control speed and faster algorithm convergence, improves the real-time performance of satellite attitude control, improves the anti-interference degree, has good control stability in different interference experiment environments, has good robustness for interference which is not seen in the training process, and can be applied to the field of satellite attitude control. The trained agency also has good adaptability to satellites with different rotational inertia, so that the trained agency can be conveniently migrated to a new satellite, and has better universality.

The invention relates to the technical field of industrial management, in particular to a control system and method for float glass production, and the system comprises a raw material batching control module, a smelting process control module, a forming and cooling control module, a cutting and fragmenting module, a quality detection module, a data recording and analyzing module and a man-machine interaction module. Compared with the defects of complicated operation, insufficient proportioning precision and difficulty in accurate evaluation of mixing uniformity in the raw material proportioning process in the prior art, the scheme adopts the optimized raw material proportioning control module, and the module receives and reads production plan and formula data through the man-machine interaction module, accurately weighs various raw materials, and accurately evaluates the mixing uniformity. The raw materials are fully mixed in sequence through the premixing machine and the mixing machine, the density of each sample is subjected to spot check, and the mixing uniformity is calculated according to a specific formula, so that the raw material proportioning accuracy and the mixing uniformity are effectively improved, the high-quality preparation of the float glass production raw materials is ensured, and the production efficiency and the product quality are remarkably improved.

The invention relates to a vehicle trajectory tracking method based on model prediction and learning driving, which belongs to the technical field of unmanned vehicle trajectory tracking control, combines deep learning and control theories, and comprises two parts of reducing calculation time consumption and adjusting weight parameters in real time. The purposes of reducing the calculation burden of the vehicle-mounted controller and improving the trajectory tracking precision and the dynamic adaptability are achieved respectively; real-time adjustment of model parameters is realized by learning dynamic characteristics and environment changes of the system; the learning-based adaptive model can better adapt to different track modes and environmental dynamics through continuous learning and adaptation; deep learning models such as a neural network are utilized to learn nonlinear mapping of the system, so that prediction accuracy is improved, and real-time adjustment and optimization of the system are realized in combination with a model prediction control framework; the application of the method in trajectory tracking is expected to enhance the robustness of the system and improve the adaptability to complex environments and dynamic changes.

The invention discloses a direct-current brushless motor FOC control method for a high-speed air duct. According to the method, the field oriented control (FOC) technology is adopted, the running state of the motor is monitored in real time through current, voltage and temperature sensors, current decoupling control is carried out in combination with a back electromotive force (BEMF) estimation algorithm, CLARK conversion and PARK conversion algorithms, and efficient and accurate adjustment of the motor is achieved. A current loop and a speed loop are respectively adjusted through a double-PID control algorithm, and stable operation of the motor under the conditions of load change and temperature fluctuation is ensured. A three-phase voltage signal is generated by adopting an SVPWM algorithm to drive the motor, and meanwhile, a dynamic adjustment module and a fault detection module are integrated, so that control parameters can be intelligently optimized, faults such as over-current and over-temperature can be responded in real time, and safe and efficient operation of the motor is guaranteed. Compared with the prior art, the method has the remarkable advantages in response speed, energy efficiency, load stability, fault protection and the like, and is suitable for the fields of high-speed air ducts, electric tools, precision equipment and the like.

The invention discloses a magnetic bearing rotor state monitoring device based on a flexible detection lantern ring. The rotor motion state monitoring device is composed of a magnetic suspension bearing system, the flexible detection lantern ring, an emitting electrode iron core, an emitting coil, a support, frequency sweeping equipment and the like. A rotor of the magnetic suspension bearing system is sleeved with a flexible detection lantern ring, a PI flexible material is used as a base layer of the flexible detection lantern ring, a temperature sensor, an acceleration sensor and a strain sensor are arranged in the flexible detection lantern ring to collect data so as to measure data of strain, torsion, amplitude and temperature of the rotor, and the flexible detection lantern ring is charged by adopting a wireless charging technology. And finally, sensor signals are transmitted at different frequencies through an oscillating circuit and an antenna accessory circuit in the sensor matching circuit, and are transmitted to frequency sweeping equipment for frequency sweeping receiving processing. The device solves the problem that related important data of a rotor mode cannot be directly measured in real time, so that a control strategy is changed immediately when the rotor reaches a critical rotating speed, and stable operation of a magnetic bearing system is maintained.

The invention discloses a welding machine chopper circuit control method and device based on multistage power regulation, and relates to the related field of chopper control, and the method comprises the steps: determining a circuit topology structure which comprises a main circuit topology and an auxiliary circuit topology based on chopper control; the dual-drive control module is supervised and trained based on hybrid modulation of the duty ratio and the switching frequency; receiving a welding task and determining a frequency modulation sequence; dividing multi-stage power features and mining a Markov frequency modulation chain; the combined digital signal processor and the programmable controller construct a control loop; and receiving a frequency modulation sequence and a precursor control signal, executing a chopping frequency modulation control decision and signal conversion based on a control loop, and performing chopping circuit control response. The technical problem that the welding process is unstable due to the fact that the control precision of an existing chopper circuit of the welding machine is insufficient is solved, and the technical effect of improving the control precision and stability of the welding process is achieved.

The invention relates to the technical field of hydrogen production, and discloses an adjusting method for improving hydrogen humidity of a hydrogen production equipment product, which comprises the following steps: initially setting hydrogen production equipment to obtain basic hydrogen humidity data; on the basis of the basic hydrogen humidity data, optimizing the hydrogen humidity by adjusting parameters of hydrogen production equipment so as to obtain the optimized hydrogen humidity; the hydrogen production equipment is readjusted through the optimized hydrogen humidity, so that the hydrogen humidity is further improved; and recording and analyzing the adjusted hydrogen humidity data to determine whether the required humidity standard is reached or not. The hydrogen humidity of the hydrogen production equipment can be accurately controlled, so that the hydrogen production efficiency and the product quality are improved, and meanwhile, the energy consumption and the cost are reduced.

The invention relates to a control method and equipment for an air system in the cold start process of a fuel cell, and relates to the field of fuel cells. In the cold start process of the fuel cell, the opening degree of the back pressure valve is set to be a fixed value, closed-loop control over the rotating speed of the air compressor and open-loop control over the opening degree of the bypass valve are conducted, and therefore the air flow control accuracy and stability of the fuel cell system are greatly improved. Besides, the starting temperature which is calculated only in the power-on initialization state and is not updated any more in the subsequent starting and running process is set, the target air pressure is corrected and calculated through the starting temperature to obtain a target air pressure correction value, and then the opening degree of the back pressure valve and the opening degree of the bypass valve are compensated and adjusted according to the correction value. Therefore, the system can reach the required optimal target air pressure during cold start in different low-temperature environments, so that the start adaptability and reliability of the fuel cell in different low-temperature environments are enhanced.

The invention relates to a preparation method of an oxygen-free copper sheet for an AMB ceramic copper-clad plate, and the preparation method comprises the following steps: preparing an oxygen-free copper ingot of which the purity is greater than or equal to 4N and the oxygen content is less than 5ppm, and sequentially carrying out preheating, hot rolling, common annealing, surface milling treatment, rough rolling, cold intermediate rolling and low-temperature bright annealing combined process and finish rolling to obtain the oxygen-free copper sheet for the AMB ceramic copper-clad plate, the oxygen-free copper sheet for the AMB ceramic copper-clad plate obtained through the preparation method is good in grain stability during high-temperature welding, and meanwhile the grain size after welding is smaller than 200 micrometers.

The invention discloses a virtual synchronous generator converter model control parameter identification method and system. A traditional control parameter identification method is low in convergence speed, insufficient in precision and difficult to adapt to precise control requirements under complex working conditions. An intelligent optimization method based on a particle swarm optimization algorithm has high convergence efficiency, but is easy to fall into local optimum. The virtual synchronous generator converter model control parameter identification method comprises the following steps: an analysis control link: constructing a virtual synchronous generator converter control model suitable for a distributed power supply; selecting a to-be-identified parameter and a to-be-identified observed quantity in the control model, generating standard test data, and constructing a fitness function; and improving a particle swarm algorithm, taking the constructed fitness function as an optimization target, and performing parameter optimization by using the algorithm to complete identification. By optimizing the control parameter identification process, not only is the control precision improved, but also the problems of slow parameter convergence, insufficient precision and the like in a traditional identification method are effectively solved.