199 results about "Fuzzy pid control" patented technology

The invention discloses a carbon fiber composite material surface modification spraying system and a control method thereof. The system comprises a multi-axis robot, a plasma spray gun, a contact angle measuring probe, a 3D line laser scanner, a hyperspectral imager, an environment sensor and a controller. According to the method, the plasma power and the robot speed are adjusted in real time through contact angle measurement and plasma treatment feedback control, so that the CFRP surface can accurately reach a target value, and the coating adhesive force is improved; 3D line laser scanning and hyperspectral imaging are combined, and the posture, the distance, the wet film thickness and the component uniformity of the spray gun are monitored in real time; based on a prediction model fusing a physical model and a neural network, a self-adaptive fuzzy PID control algorithm is adopted, and the coating flow and the track posture of a spray gun are accurately regulated and controlled in real time. The problems of weak coating binding force, uneven thickness, orange peel, sagging and serious coating waste in traditional spraying are effectively solved, and self-adaptive, high-quality and green spraying of workpieces with complex curved surfaces is achieved.

The invention discloses a transmission driving control method of a bimodal integrated engine. The transmission driving control method comprises the following steps: S1, state sensing; s2, mode decision making; S3, dynamic adjustment; s4, mode switching; S5, power optimization distribution; s6, adaptive learning is carried out; and S7, fault-tolerant guarantee. The invention further discloses a bimodal integrated engine transmission system which comprises the following modules: a power input module; a transmission adjusting module; a state sensing module; an intelligent control module; and a fault-tolerant guarantee module. Parameters are dynamically adjusted through fuzzy PID control according to speed deviation, meanwhile, real-time correction is conducted in combination with a multi-mode intelligent algorithm, speed fluctuation is precisely controlled within + / -3 km / h, flight stability is guaranteed, a model prediction control and multi-mode intelligent control cooperation mechanism is adopted, an optimal power output sequence is calculated in advance, coordinated distribution is completed, and the optimal power output sequence is controlled to be within + / -3 km / h. The dynamic response speed is increased by 40%, and the high-dynamic task requirement is met.

The invention discloses a robot track online compensation and precision control method and system based on multiple sensors, and belongs to the technical field of robot track control. The method comprises the following steps: acquiring target trajectory data and original data of each sensor, and performing time alignment on the original data of each sensor to generate a fusion data set comprising vibration acceleration data and pose data; performing time-frequency feature extraction based on the vibration acceleration data to obtain a dominant vibration frequency spectrum; constructing a mechanical transfer function model of the joint driving torque and the tail end vibration displacement; based on the mechanical transfer function model, constructing an adaptive notch filter to generate a feed-forward compensation sequence; according to the target trajectory data, the pose data and weight parameters, updated in real time, of the sensors, a trajectory fusion deviation value is obtained through calculation; and after the feedforward compensation sequence and the trajectory fusion deviation value are integrated, a joint driving current instruction is generated based on a fuzzy PID control algorithm. The robot trajectory control precision can be improved.

The invention discloses an intelligent controllable road bridge vibration detection method based on magnetorheological fluid and a damping device, and belongs to the technical field of bridge engineering structure health monitoring and vibration control, and the method comprises the steps: calculating a comprehensive vibration strength index through multi-source signal fusion and adaptive Kalman filtering, and estimating the bridge speed; the damping force is mapped through the pre-calibration database, and a damper state verification mechanism is introduced; a gain self-adaptive ceiling algorithm is combined with a fuzzy PID control force algorithm for tracking to realize accurate control; finally, the health state of the system is evaluated through performance degradation indexes of temperature compensation, corresponding devices are integrated with a sensing network, a control unit and a distributed acquisition architecture, and the problems that a traditional system is single in state sensing, fixed in control strategy, lack of a self-diagnosis function, complex in engineering wiring and the like are solved. The comprehensive solution integrating intelligent monitoring, self-adaptive control and health self-diagnosis is realized, and the reliability, adaptability and maintainability of the bridge damping system are remarkably improved.

The invention provides a field emission thruster extraction electrode indium deposition cleaning temperature control method and system, and relates to the technical field of space electric propulsion, and the method comprises the steps: obtaining multi-source temperature data and electric field intensity data of a target region, and carrying out the time-space fusion processing of the two data, and generating target feature information reflecting the deposition state of an indium material; based on the feature information, a fuzzy PID control algorithm is adopted to generate a power control signal, and then the embedded heating unit is adjusted; monitoring electrothermal characteristics to obtain thermal impedance parameters, and further generating heat flow distribution data; analyzing heat flow data by using a state observer to predict an indium deposition growth trend to obtain deposition rate information, finally determining a cleaning control strategy according to the growth rate, and controlling temperature change in a non-uniform heating mode to enable the indium material to reach a phase change state. According to the invention, the reliability and maintenance efficiency of on-orbit long-term operation of the field emission propeller are improved.

A predictive fuzzy PID control method for an intelligent greenhouse includes: acquiring greenhouse real-time data, where the real-time data includes temperature data and humidity data; obtaining fuzzy quantity, control quantity and error data based on the real-time data, where the error data includes an error value and an error change rate; obtaining a target value based on the error data and a predictive functional control; controlling the target value and the error data for fuzzy inference, determining and adjusting parameters, and generating a control signal based on the parameters; and controlling greenhouse equipment adjustment based on the control signal to enable an output value of the equipment to approach the target value, and repeating the above steps to achieve continuous greenhouse environment control. This method achieves more accurate and efficient control of environmental parameters such as temperature, humidity, and illumination, and provides an optimal growing environment for plants.

The invention provides a tunnel fire monitoring and ventilation and smoke exhaust linkage control system. The tunnel fire monitoring and ventilation and smoke exhaust linkage control system comprises a tunnel environment and fire monitoring module, a data fusion processing module, a tunnel ventilation and smoke exhaust linkage control module and a remote monitoring and control management system module which are connected through a communication network. The data fusion processing module is configured with a D-S evidence theory algorithm and is used for receiving multi-source environment data, calculating basic probability distribution of data of each sensor, quantitatively evaluating a fire occurrence probability through a combination rule and generating a fire state judgment result; the tunnel ventilation and smoke exhaust linkage control module is used for receiving the fire state judgment result and determining the target wind speed according to the fire scale; a fuzzy PID control unit and a hysteresis control unit are arranged in the tunnel ventilation and smoke exhaust linkage control module. According to the method, the problem of high false alarm rate of traditional monitoring is solved, the engineering problem that discrete ventilation equipment is difficult to continuously and accurately control is solved, and the disaster prevention and reduction capability of the tunnel is remarkably improved.

The invention provides a composite material machine tool machining precision real-time measurement and thermal deformation compensation control method and system, and relates to the technical field of composite material machining. Collecting data through a temperature sensor and a displacement sensor; establishing a multi-dimensional thermal deformation prediction model; measuring the position of the cutter in real time by adopting a laser interferometer; constructing a self-adaptive compensation controller, and generating a compensation instruction by adopting a fuzzy PID control algorithm; and sending the compensation instruction to a numerical control system to realize real-time compensation of the processing track. Closed-loop control over the machining precision of the composite machine tool is achieved, and the machining precision is improved.

The invention discloses a dissolved oxygen closed-loop regulation and control method used in a sewage treatment process. The method comprises the following steps: acquiring real-time dissolved oxygen concentration in a reaction tank through a distributed sensor array, and performing temperature compensation; an online water quality analyzer is used for collecting water inlet flow, chemical oxygen demand, ammonia nitrogen and water temperature to construct a comprehensive input feature vector; establishing a nonlinear dynamic mapping model based on a deep neural network, and outputting a target dissolved oxygen set value changing along with working conditions; an aeration adjusting instruction is generated by adopting a feedforward-feedback composite adaptive fuzzy PID control algorithm; dynamically adjusting the air volume of an air blower and the opening density of a partition aeration disc to match the aerobic rate of microorganisms; and the control performance is evaluated regularly, and a model parameter online optimization mechanism is triggered to continuously improve the setting precision. According to the method disclosed by the invention, the dissolved oxygen can be accurately controlled, so that the aeration energy consumption is reduced by not less than 18%, the control precision is within + / -0.3 mg / L, and the robustness, the automation level and the low-carbon operation capability of the system are remarkably improved.

The invention relates to the technical field of data processing, and discloses a hydropower station fish gathering system inlet flow field adaptability optimization method and system. The method comprises the following steps: grading target fishes according to swimming speed and body length, setting a flow velocity adaptation threshold value, monitoring a flow field through an acoustic Doppler current meter, fusing data by using a Kalman filtering algorithm, calculating a fish rheotaxis index, and carrying out matching analysis to evaluate the adaptability of the flow field, according to the evaluation result, the flow guide pier and the microbubble curtain are controlled to conduct multi-stage linkage regulation and control, and a fuzzy PID control algorithm is adopted to achieve self-adaptive flow field control with the fish hydrotaxis index as a feedback signal. The problem that flow field optimization lacks fish behavior response feedback and multi-device coordination control in the prior art is solved, and the biological adaptability and the regulation and control precision of the inlet flow field of the fish gathering system are improved.

The invention discloses an intelligent energy management system of a photovoltaic-energy storage integrated prefabricated external wall panel. Efficient energy management is realized through a three-layer closed-loop architecture. A data acquisition layer acquires photovoltaic power Ppv, a battery SOC and a temperature Tbatt in real time; the central control layer constructs an energy matrix Ematrix based on an edge computing chip, and executes a three-level scheduling algorithm, and photovoltaic power supplies load preferentially, energy storage and charging are performed, and a surplus feed network is formed; and the communication layer interacts with a power grid through the LoRa module. The system integrates fuzzy PID (Proportion Integration Differentiation) control, LSTM (Long Short Term Memory) prediction, multi-mode dynamic switching (self-sufficiency / power grid assistance / peak shaving / emergency standby) and a safety protection mechanism (thermal runaway blocking and battery health management), and dynamic impedance matching and line loss compensation are combined, so that the energy utilization rate is improved, and the accident rate is reduced.

The invention discloses an ammonia spraying real-time feedback regulation method based on an SCR (Selective Catalytic Reduction) denitration system, which comprises the following steps: dividing a cross section partition on an outlet flue of the SCR denitration system, and synchronously collecting a flue gas sample on the cross section partition; dynamically adjusting the flow of a cooling medium of a gas cold air coil pipe through a self-adaptive fuzzy PID control algorithm, and cooling and dehumidifying each path of collected flue gas sample to obtain a dry flue gas sample; the concentration of each path of dry flue gas sample is analyzed in real time, and the optimal ammonia spraying valve opening strategy of each cross section partition is predicted by combining the ammonia spraying amount of each path, the flue gas flow of the SCR denitration system, the unit load and the ammonia escape concentration and adopting a multivariable model prediction control algorithm; and according to the predicted optimal ammonia injection valve opening strategy of each cross section partition, the ammonia injection valves of the corresponding cross section partitions are adjusted, and real-time feedback adjustment of ammonia injection is achieved.

The invention provides a ship refrigerated container cluster redundancy control method and system, and the method comprises the steps: deploying a plurality of temperature sensors in each refrigerated container, and obtaining high-reliability environment temperature information through employing a multi-source data fusion technology; monitoring the running state of the local main controller of the refrigerated container in real time, judging whether the local main controller fails or not, and sending out an alarm signal; the redundant system monitors and stores all key temperature data of the refrigerated container in real time, and performs simple preprocessing to form a historical temperature database; comparing the control efficiency of the local main / backup controller and the control efficiency of the redundant system, and deciding an output signal weight; an accumulated historical database is utilized to dynamically adjust and optimize an adaptive fuzzy PID control rule in the redundant system; and collecting and counting models of local main / standby controllers and comparison and selection results of controller states and efficiency, and uploading the comparison and selection results to the cloud to construct an equipment efficiency knowledge base, so that faults can be accurately identified in a short time, the global temperature field characterization precision is improved, and unified regulation and control of containers of multiple brands are realized.

The invention provides a control method of an air energy heat pump system, the heat pump system and an air conditioner, and relates to the technical field of heat pump control methods. According to the control method of the air energy heat pump system, the heat pump system and the air conditioner, system operation parameters are collected in real time through a sensor network, and the system operation parameters comprise the indoor environment temperature, the indoor coil pipe temperature, the outdoor coil pipe temperature, the compressor suction pressure, the compressor exhaust pressure and the compressor operation frequency. Through fine management of the air energy heat pump system, the method not only considers real-time indoor and outdoor environment parameters, but also integrates an advanced fuzzy PID control algorithm and an intelligent prediction function based on user behaviors and weather forecast, so that the energy efficiency of the system and the comfort level of the user are remarkably improved.

The invention discloses a high-precision self-adaptive deicing method and system based on fuzzy PID. The method comprises the steps that the contact pressure of a milling cutter and an ice layer is monitored in real time through a pressure sensor; a double-threshold mechanism (2.5 MPa / 3.0 MPa) is set, and the pressure deviation and the deviation change rate are calculated; mapping the pressure deviation and the deviation change rate to a fuzzy domain through a quantization factor, inputting the pressure deviation and the deviation change rate into a fuzzy controller, and outputting PID parameter increments according to 49 fuzzy rules; actual increment is converted according to scale factors, a hydraulic cylinder transfer function is selected according to the displacement direction of the valve element, and proportional valve control signals are generated. According to the method, through fuzzy PID control fusing pressure double-threshold decision and asymmetric hydraulic modeling, quick response (less than or equal to 0.3 s) and overshoot suppression (less than or equal to 5%) of a cutter lifting action are realized, a road surface and facilities are effectively protected, and the control precision and adaptability of a deicing device are improved.

The invention relates to the technical field of electronic cigarette control, and particularly discloses an electronic cigarette self-adaptive precise temperature control system based on fuzzy PID control, which comprises a temperature acquisition module, a disturbance quantization module, a fuzzy reasoning module, a parameter self-adaptive PID control module and a power driving module. By quantizing the disturbance intensity and adjusting PID parameters in real time based on a fuzzy rule, the system can adaptively enhance the anti-interference capability and the steady-state precision. The system has quick response to sudden disturbance, control oscillation possibly caused by frequent parameter adjustment is avoided, optimal balance between response speed and control stability is achieved, and the system is particularly suitable for portable equipment such as electronic cigarettes with complex and changeable working conditions. According to the scheme, rapid, stable and overshoot-free accurate control over the atomization temperature is achieved, and the use experience and consistency of the electronic cigarette are improved.

The invention discloses an intelligent humidity control method and system for bio-organic fertilizer fermentation, and belongs to the field of humidity control. The method comprises the steps that a stacking area is divided into basic units, environmental parameters and material characteristic parameters of each unit are periodically obtained, and corresponding humidity regulation and control time delay and compensation coefficients are calculated; dynamically combining the basic units by using a clustering algorithm to obtain partitions, and constructing a coupling influence matrix by considering moisture migration between the partitions; an improved particle swarm algorithm is adopted, the inertia weight is adjusted in a self-adaptive mode according to the humidity regulation and control time delay of each partition, and the optimal fuzzy parameter of each partition is obtained; the preset PID parameter is corrected based on the coupling influence matrix and the humidity regulation and control time delay and compensation coefficient of each partition, the optimal PID parameter of each partition is obtained, the humidity control quantity of each partition is obtained through fuzzy PID control, the problems of regulation and control lag and uneven local humidity in existing humidity control are solved, and the humidity control efficiency is improved. And self-adaptive regulation and control and differential control are realized.

The invention discloses an underground water pumping and in-situ remediation system and a control method thereof. The system comprises a data acquisition module, a fuzzy PID control module, a repairing agent adding control module and an execution mechanism. The data acquisition module is used for acquiring pH value and conductivity parameters in the underground water treatment process; the fuzzy PID control module is used for adjusting the suction rate according to the deviation between the parameters and the set target value, and comprises three fuzzy rule libraries for respectively adjusting the proportion coefficient, the integral coefficient and the differential coefficient of a PID controller; the repairing agent adding control module adjusts the adding amount of a repairing agent according to the control signal; and the executing mechanism comprises a suction pump and a repairing agent dosing pump. The system further comprises a random number module which generates random disturbance parameters conforming to preset probability distribution and dynamically corrects control output. The suction pump is used for sucking and adding a repairing agent through a composite pipeline with an inner and outer pipe structure. The system can stably and efficiently control the groundwater remediation process, and the remediation effect is improved.

The invention relates to the technical field of agricultural illumination, in particular to an illumination light supplementing method and system for agricultural detection. According to the method, the shadow is used as a valuable information source containing space prior, and the feature representation capability is enhanced through explicit modeling of a shadow detection task. A shadow guide gating fusion mechanism is provided, and the feature weight is dynamically adjusted according to whether the spatial position is in a shadow area or not, so that adaptive enhancement is realized. And the mechanical arm serves as a light source carrier, flexible adjustment of the light supplementing position and intensity is achieved through double fuzzy PID control, and illumination light supplementing is conducted on the shadow part of the target area in the sight line. According to the method, the performance and the robustness of an agricultural visual inspection system are remarkably improved.

The invention discloses an electronic traction control method and device of an extended-range tractor and a storage medium in the technical field of agricultural tractors. The method comprises the steps that the final output vehicle speed is calculated according to the first positioning speed, the second running speed, the third estimation speed and the fourth motor speed; calculating actual slip rates of the four wheels according to the final output vehicle speed and the wheel speeds of the four wheels; based on the current road adhesion coefficient obtained in real time and a pre-constructed road mu-lambda characteristic database, the optimal slip rate of the four wheels is obtained; calculating a slip rate difference value and a slip rate difference value change rate based on the optimal slip rate and the actual slip rate; when the actual slip rates are all smaller than the preset minimum slip rate, torque required by a driver is output; and when the change rate of the slip rate difference value exceeds a preset change rate threshold value, outputting a correction torque output by a fuzzy PID control framework. The technical problem of working condition limitation caused by dependence on tilling depth adjustment in the prior art can be solved.

The invention relates to the technical field of chemical process control, in particular to an intelligent chemical reaction process regulation and control system and method based on multi-mode online detection, and the method comprises the steps: carrying out the Savitzky-Golay filtering and noise reduction processing of collected near infrared spectrum data, and screening characteristic wavelengths through employing a continuous projection algorithm SPA; jointly inputting the screened characteristic wavelength data and the real-time viscosity data into a pre-trained partial least squares PLS prediction model to obtain a real-time prediction value of the monomer conversion rate; the online self-adaptive mechanism is used for acquiring a latest'spectrum-granularity-viscosity-actual conversion rate 'quaternary data sample at preset time intervals, and carrying out online incremental updating on model parameters through a recursive PLS (Partial Least Square) algorithm; the control quantity is calculated by using a fuzzy PID control algorithm, and the stirring rate of the reaction kettle and the reactant feeding rate are dynamically adjusted. According to the method, comprehensive and accurate data support is provided for real-time regulation and control of the reaction process, and the prediction precision and long-term operation stability of the model are remarkably improved.

The application discloses a motion platform fuzzy control method based on a genetic algorithm optimization, a computer device and a storage medium, relates to the field of fuzzy control, and solves the problems that the determination of initial values of PID parameters, membership functions and fuzzy rules is complicated, a particle swarm optimization algorithm is only suitable for continuous problems, and is prone to local convergence and unable to achieve a global optimal solution. The application provides the following technical scheme: a motion platform model is established, the lengths of multiple push rods are calculated through inverse solution of a target attitude on the platform; a cascade PID control system is designed, the cascade PID control system is formed by connection of an attitude angle fuzzy controller and a push rod cascade controller; the attitude angle fuzzy controller is designed; genetic algorithm optimization is carried out; a genetic algorithm optimization fuzzy PID control system is constructed; the artificial fuzzy rule fuzzy PID control system and the genetic algorithm optimization fuzzy PID control system are compared; and simulation control results are obtained. The application is suitable for setting of PID parameters of a motion platform control system and determination of fuzzy rules.

The invention discloses a path tracking control method suitable for crawler-type agricultural equipment. The method comprises the following steps: S1, building a navigation hardware control system on crawler-type equipment; s2, designing a Kalman filtering algorithm to filter the course angle of the crawler-type equipment; s3, correcting an equipment positioning error caused by the attitude angle; s4, a fusion algorithm of the Stanley algorithm and the Pure Pursuit algorithm is designed; s5, designing an enhanced SPP algorithm; s6, performing secondary optimization on the control law output by the SPP algorithm by using a fuzzy PID control algorithm; and S7, fitting a total control law equation in combination with the control algorithm, and converting the control law into the linear speed of the left and right tracks of the crawler-type equipment so as to realize steering and straight movement of the crawler-type equipment. According to the invention, a complex agricultural environment is regarded as a black box system, and item-by-item optimization is carried out by superposing an algorithm with high interpretability, so that the adaptability of a control system to the black box system is improved, and finally, the equipment path tracking precision is improved step by step.

The invention discloses a double-closed-loop fuzzy PID control method for a variable-frequency speed regulation system of a coal mining machine. The method comprises the following steps: inputting an initial target rotating speed; generating a dynamic target rotating speed adaptive to the current working condition; the fuzzy PID controller adaptively adjusts PID parameters according to the speed error between the actual output speed of the motor and the dynamic target rotating speed, and the speed error is accurately converted into expected torque current; the PI current controller outputs a PWM control signal to the coal mining machine variable frequency transmission mechanism based on a current error between the actual torque current and the expected torque current of the motor; and the coal mining machine variable frequency transmission mechanism adjusts output voltage and frequency according to the PWM signal and drives the traction motor to adjust the rotating speed, so that the actual torque current of the motor accurately tracks the expected torque current, and the actual output speed of the motor is consistent with the dynamic target rotating speed. Therefore, rapid, low-overshoot and anti-saturation efficient operation of the coal mining machine under complex disturbance is realized.

The invention belongs to the technical field of ultra-thin strip rolling equipment control, and discloses a high-performance tension control method and system used in the electrified rolling ultra-thin strip process, and the method comprises the following steps: constructing a tension model of a part in an electrified rolling ultra-thin strip system, and calculating the tension of the part on the basis of factors influencing tension changes; determining a rough adjustment open-loop transfer function and a fine adjustment open-loop transfer function of the rolling system; based on the rough adjustment open-loop transfer function, a PID controller is used for controlling a motor to move so as to roughly adjust the tension applied to the ultra-thin strip; based on the fine adjustment open-loop transfer function, a fuzzy PID control strategy optimized by an improved grey wolf algorithm is used for controlling an air cylinder to perform fine adjustment on tension applied to the ultra-thin strip; and acquiring a tension output value, calculating an error between the output value and a target value and an error change rate, and performing tension control through a control algorithm.

The present application relates to electric vehicle braking energy recovery technical field, especially for based on electric vehicle braking energy recovery device's detection system and control method, including the following steps: step one: data acquisition: real-time acquisition data from vehicle sensor, the sensor data includes vehicle speed v(t), acceleration a(t), brake force F(t), voltage U(t) and current I(t), the sensor data is collected by vehicle speed sensor, accelerometer, brake force sensor and electrical monitoring unit respectively;Step two: the collected vehicle speed v(t), acceleration a(t), brake force F(t), voltage U(t) and current I(t) data are pretreated state estimation: the collected data are state estimated using Kalman filtering algorithm, in the present application, through the extension sensor module, the vehicle operating state data are comprehensively collected, and more abundant and accurate information source is provided for intelligent control module, the hybrid intelligent control module combines the advantages of adaptive fuzzy PID control and reinforcement learning algorithm, and can dynamically adjust the control strategy according to real-time working condition.

The invention relates to the technical field of air conditioner ventilation control, in particular to a livestock and poultry house dynamic ventilation adjusting device and method.The method comprises the steps that data of all environment parameters in the environment in a livestock and poultry house at different moments in all regulation and control periods are obtained; calculating a collaborative trend quantity and a dynamic instability degree of each regulation and control period to obtain an out-of-control risk value of each regulation and control period; calculating the multi-peak saliency and one-way dominant strength of each regulation and control period to obtain the nonlinear coupling degree of each regulation and control period; and determining an adjustment factor of each regulation and control period, adjusting an output variable universe range of the fuzzy PID control algorithm in the next regulation and control period, and controlling the rotating speed of an air conditioner motor in the livestock and poultry house so as to perform dynamic ventilation adjustment. The dynamic response capability of the air conditioner motor in the livestock and poultry house to complex environment changes can be improved, and the accuracy, rapidity and overall energy efficiency of dynamic ventilation are remarkably improved.

The invention discloses a precise power control system for a motor of an electric loader, which comprises a load detection module, a brake energy recovery module and a control module, and is characterized in that the control module is used for receiving work load information, processing the work load information and the brake energy recovery information by adopting an improved fuzzy PID control algorithm, and outputting the processed work load information and the brake energy recovery information; a corresponding power adjusting instruction is generated and sent; a driving module and a feedback module. The set change rates of the load deviation e and the load deviation ec serve as core input of a fuzzy PID control algorithm, dual-input fuzzification processing can accurately describe the static size and the dynamic change trend of the load, PID parameter correction values (delta Kp, delta Ki and delta Kd) and initial parameters (Kp0, Ki0 and Kd0) are combined to be superposed to obtain real-time parameters, and the real-time parameters are obtained. The operation characteristics of frequent switching between heavy load and light load and severe load sudden change of the electric loader can be more comprehensively captured, and PID parameter correction better meets the power requirements of subdivision operation such as shoveling, lifting and driving.

The application relates to the technical field of electromechanical control of flight simulation training equipment, and provides a flight simulator corridor bridge safety control method, system, equipment and storage medium, which solves the problems of poor running stability and low control precision of the corridor bridge under load change. The method comprises the following steps: collecting height sensing signals and stress distribution signals in the lifting process of the corridor bridge, obtaining height data and stress distribution data through signal conditioning and analog-digital conversion processing, analyzing the real-time load distribution state according to the height data and the stress distribution data, and generating an electric cylinder adjustment instruction and a pre-tightening force adjustment instruction to realize dynamic compensation of the gravity center deviation; combining a fuzzy PID control model to generate a lifting motion control signal, processing the corridor bridge attitude estimation data through an attitude estimation algorithm, and correcting the motion control signal according to the corridor bridge attitude estimation data, so that high-precision smooth control of the lifting process of the corridor bridge is finally realized. The application improves the running stability and control precision of the corridor bridge under load change.

The invention provides a hydropower station illumination intelligent control and energy efficiency management method, and relates to the technical field of hydropower station illumination. The method comprises the steps that an environment sensing network is constructed, environment parameters of a lighting area are collected in real time, and the environment sensing network comprises an environment light sensor and a human body positioning module; collecting a current signal of the LED lamp in real time through a current sensor; dual-mode communication is adopted, collected environment parameters and current signals are transmitted to a control end, the control end carries out illumination control according to set control strategies, and the control strategies comprise an automatic control strategy, a remote control strategy and an emergency manual control strategy. The automatic control strategy comprises the steps that illumination control is achieved by combining a load balancing algorithm with a fuzzy PID control model on the basis of the operation state, the environment parameters and the current signals of the hydropower station equipment, the load balancing algorithm is used for achieving illumination load distribution of the core area and the non-core area, and the fuzzy PID control model is used for dynamically adjusting the brightness of the LED lamps.