111 results about "Pid control system" patented technology

The invention discloses a fishery pond water temperature control optimization method based on a swarm intelligence algorithm, and belongs to the technical field of control optimization, and the method comprises the following steps: S1, constructing a fishery pond water temperature PID control system introducing an improved single-corner whale optimization algorithm module; s2, introducing an improved single-corner whale optimization algorithm, and constructing an improved single-corner whale optimization algorithm module; s3, setting and optimizing the pond water temperature PID control parameters by using an improved single-corner whale optimization algorithm to obtain optimal control parameters; and S4, setting an optimal control parameter obtained through optimization by using the improved single-corner whale optimization algorithm as a parameter of a pool water temperature PID controller, and optimizing a pool water temperature regulation control effect. According to the method, a swarm intelligent optimization algorithm, namely an improved unicorn whale optimization algorithm, is introduced, high-performance control over the pond water temperature is achieved, and reliable control technical support is provided for efficient, stable and safe operation of aquaculture.

The embodiment of the invention provides an oxidation kettle temperature self-adaptive control system and a control method. The control system comprises a temperature detection module; the self-adaptive control algorithm module is used for dynamically adjusting the output of the heating or cooling device through data provided by the temperature detection module based on a self-adaptive control algorithm of a snow ablation algorithm; the feedback control module compares the output of the temperature detection module with a set temperature, the feedback control module adjusts control parameters and ensures that the temperature reaches a set value, the feedback control module adopts a double-closed-loop PID control system, and the double-closed-loop control structure comprises a self-adaptive PID controller of an outer loop and a rapid PID controller of an inner loop which are combined; and the man-machine interaction module allows an operator to set a target temperature and a control parameter, and displays a temperature change curve in real time. Through dynamic adjustment of PID controller parameters combined with real-time monitoring, intelligent analysis and an intelligent optimization algorithm and design of a double-closed-loop feedback system, quick response and stable control of temperature control are realized.

The invention relates to the technical field of electric tracing band heating systems, in particular to an electric tracing band heating system operation control method, device and system, and the method specifically comprises the steps: analyzing the severity of the heat compensation imbalance condition of an electric tracing band caused by external severe convection and PTC characteristics, and constructing the heat compensation imbalance degree of the electric tracing band; analyzing the heat compensation lag condition of the electric tracing band to the heated body caused by the heated inertia influence, and constructing the compensation response hysteresis of the electric tracing band; temperature compensation factors are constructed by combining the two, the proportional term of the PID control system in the next control interval is obtained, power adjustment of the electric tracing band heating system is carried out, the heat compensation hysteresis of the electric tracing band heating system under the condition that the convection heat dissipation condition is unstable is reduced, and the heating efficiency of the electric tracing band heating system is improved. The defect that due to the influence of temperature response compensation lag, power output of an electric tracing band heating system is frequently adjusted, and local supercooling of a heated body is caused is overcome, and the temperature stability of the heated body is improved.

The invention discloses a gelatin solution temperature control optimization method for donkey-hide gelatin processing, and belongs to the technical field of swarm intelligence optimization. Comprising the steps that a gelatin solution temperature closed-loop PID control system in the donkey-hide gelatin decocting process is constructed, an improved side hand spider turning optimization algorithm is configured to serve as a parameter setting core, the self-adaptive setting process of PID control parameters is executed, and a global optimal control parameter vector obtained through optimization is mapped to a donkey-hide gelatin solution temperature PID controller module. The method focuses on the PID parameter setting problem of donkey-hide gelatin liquid temperature control, introduces the improved side hand turning spider optimization algorithm as a swarm intelligence algorithm to set the donkey-hide gelatin liquid temperature PID control parameters, and can effectively overcome the defect that the side hand turning spider optimization algorithm is easy to fall into local optimum. And the temperature of the donkey-hide gelatin liquid can be controlled more excellently.

The invention relates to the technical field of hydraulic control, and discloses a hydraulic motor constant torque self-adaptive PID (Proportion Integration Differentiation) control system which comprises a controller and a hydraulic driving unit, the controller performs frequency domain separation on the pressure signal by using a signal preprocessing module, and extracts an average pressure difference representing the driving force and a ripple amplitude representing the fluid rigidity; the state observation module estimates an instantaneous volume elastic modulus based on the ripple amplitude, corrects a compression item in a flow continuity model by using the elastic modulus, and calculates an instantaneous leakage coefficient of the motor in real time; the self-adaptive control module establishes dynamic mapping of PID gain and physical parameters, the proportional gain is adjusted by using a leakage coefficient to match system damping, the integral gain is adjusted by using a volume elastic modulus to adapt to inherent frequency, and a control instruction is synthesized by combining feedforward compensation. According to the method, the problem of model mismatch caused by oil characteristic change and motor abrasion is effectively solved, and the whole-life-cycle control precision of the system is improved.

The invention discloses a strip steel transmission dynamic compensation sequence control integrated device, and relates to the technical field of strip steel transmission dynamic compensation, a tension detection module M1 is used for collecting strip steel tension signals in real time, and a speed detection module M2 is used for collecting rotating speed signals of all transmission motors in real time; and the dynamic compensation control unit C1 is connected with the tension detection module M1 and the speed detection module M2 through a digital bus, calculates a feedforward compensation amount through a model prediction algorithm based on the deviation between the tension signal and a preset target tension, and generates a closed-loop tension adjustment instruction. Cascade feed-forward and closed-loop dynamic compensation are designed, so that tension feed-forward prediction compensation is superposed on the basis of a speed closed loop, tension deviation is quickly suppressed by using an error derivative, the defects of slow mutation response and large overshoot of a traditional pure PID are eliminated, the tension fluctuation control precision is improved, and the response time is shortened.

The invention relates to a control system and method for continuous and accurate spraying of a glyoxal solution in cellulose ether production. The control system comprises a glyoxal aqueous solution preparation tank; the soft water feeding pipeline, the glyoxal feeding pipeline and the glyoxal mixed solution discharging pipeline are respectively connected with the preparation tank; regulating valves and flowmeters are respectively arranged on the pipelines to respectively form a first flow control loop, a second flow control loop and a third flow control loop; the controller system is connected with the three flow control loops; and the ratio controller is used for automatically calculating and setting a flow set value of the controller system according to the set proportionality coefficient K. Three groups of PID control systems are used for tracking and controlling three PIDs, the ratio devices K and Q3 are set, the ratio devices can automatically set PID set values, track and rectify deviation, corresponding valves are opened for tracking and controlling, inlet and outlet balance is achieved, and the problems that manual calculation is inaccurate in feeding, uneven in proportion, discontinuous in production and unstable in product quality are solved.

The invention discloses an active sleep cooling device, and belongs to the field of intelligent temperature control. According to the equipment, semiconductor chilling plates (20-100 W, COP > = 1.5 and delta T = 25 DEG C) are adopted to form a refrigeration module, the cold end is connected with a circulation pipeline through a buckle type water cooling head, and the hot end is coated with dynamically-adjusted heat-conducting silicone grease (the contact pressure is 0.1-0.3 MPa). The liquid cooling system (the flow is automatically adjusted along with power and temperature difference) is innovatively designed to be in redundancy fit with the air cooling system, and the hot end is less than or equal to 65 DEG C. Non-contact conduction of cooling liquid is achieved through the composite uniform temperature layer (cotton and polyurethane), and the temperature difference gradient smaller than or equal to 2 DEG C / cm is formed. Precise temperature control of + / -0.5 DEG C is achieved based on an STM32 PID control system (the parameter adjustable range Kp is equal to 0.8-1.2), and the temperature is reduced by 7 DEG C or more within 10 minutes. The safety system integrates a condensation sensor (which is triggered for 10 minutes after the humidity is greater than or equal to 70%) and a double-metal protector (cold end lt; 13 DEG C / hot end gt; 65 DEG C), via a solid state relay (in response to lt; and the double protection is realized. The power consumption of the whole machine is smaller than or equal to 120 W, the noise is smaller than or equal to 30 dB (A), the energy efficiency is improved by 50% compared with a traditional scheme, and 72-hour hydrolysis test (the strength is kept to be larger than or equal to 90%) and IP54 certification are passed. The equipment can be integrated on a mattress or a pillow or used as an independent device, is suitable for family sleep optimization, medical care and outdoor scenes, and has remarkable market application value.

The invention provides a direct modified rubber powder asphalt production tank control method, and belongs to the technical field of asphalt production, and the method comprises the steps: S100, building a multi-parameter fusion PID control system based on fuzzy logic adjustment; s200, temperature pre-compensation is carried out in the material input stage; s300, setting up and obtaining concentration data and viscosity data in a reaction stage, and setting up a double-closed-loop control system according to the concentration data and the viscosity data; and S400, performing parameter optimization on the double closed-loop control system. According to the control method for the direct modified rubber powder asphalt production tank, a multi-parameter fusion PID control system is constructed based on fuzzy logic adjustment, and multi-parameter changes can be more flexibly coped with; temperature pre-compensation is carried out in the material feeding stage, the temperature problem in the stage can be handled in a targeted mode, and deviation is reduced; a double-closed-loop control system based on concentration data and viscosity data is built in the reaction stage, and accurate control over key parameters in the reaction process can be achieved; and parameter optimization is carried out on the double-closed-loop control system, so that the control precision and stability are further improved.

The invention discloses an oil temperature monitoring and regulating method for an oil-immersed transformer, which belongs to the technical field of control optimization, and comprises the following steps: constructing an oil temperature PID control system of the oil-immersed transformer, introducing an improved candle flame optimization algorithm, and setting oil temperature PID control parameters by using the improved candle flame optimization algorithm. And setting three optimal control parameters obtained through optimization by using an improved candle flame optimization algorithm as parameters of an oil temperature PID controller in the PID control system of the oil-immersed transformer, and optimizing the oil temperature control effect of the oil-immersed transformer. According to the method, the oil temperature PID control system of the oil-immersed transformer is constructed, and the improved candle flame optimization algorithm is introduced, so that the oil temperature of the oil-immersed transformer can be recovered to be stable more quickly when working condition disturbance such as load sudden change or environment temperature change occurs, the insulation aging risk caused by long-time high-temperature operation can be reduced, and the service life of the oil-immersed transformer is prolonged. And the operation safety and reliability of the oil-immersed transformer are enhanced.

The invention discloses a power distribution cabinet temperature control optimization method based on an improved dead leaf butterfly optimization algorithm, and the method comprises the steps: S1, building a to-be-optimized power distribution cabinet temperature control mathematical model based on the temperature control demands of a power distribution cabinet; s2, constructing a temperature PID control system of the power distribution cabinet; s3, introducing an improved dead leaf butterfly optimizer; s4, setting the in-cabinet temperature PID control parameters in the power distribution cabinet temperature PID control system by using the improved dead leaf butterfly optimizer, and obtaining the optimal control parameters through optimization; and S5, optimal control parameters obtained through optimization are set as parameters of a temperature PID controller in the power distribution cabinet temperature PID control system, and the temperature control effect is optimized. According to the invention, a dead leaf butterfly optimization algorithm is introduced and improved, so that the stability of the temperature control system of the power distribution cabinet can be improved, the temperature can be more quickly stabilized to be close to a temperature preset value, and related equipment or electronic components in the power distribution cabinet are prevented from being damaged by relatively large temperature fluctuation.

The present application relates to the technical field of electric tracing heating systems, and specifically relates to a method, device and system for operating and controlling an electric tracing heating system, which specifically includes: analyzing the severity of the heat compensation imbalance condition of the electric tracing caused by external strong convection and PTC characteristics, and constructing a heat compensation imbalance degree of the electric tracing; analyzing the heat compensation lag condition of the electric tracing for the heated body caused by heat inertia, and constructing a compensation response lag of the electric tracing; combining the two to construct a temperature compensation factor, obtaining the proportional term of the PID control system in the next control interval, and adjusting the power of the electric tracing heating system, reducing the heat compensation lag of the electric tracing heating system under unstable convective heat dissipation conditions, avoiding the drawback that the power output of the electric tracing heating system is frequently adjusted due to the influence of temperature response compensation lag, resulting in local overcooling of the heated body, and improving the temperature stability of the heated body.

The invention discloses a method for realizing precise sintering temperature control in combination with a PID regulation and control system, and relates to the technical field of sintering processing, and the method comprises the following steps: S1, obtaining historical regulation and control data of a heating unit under a current operation condition, extracting a minimum effective response difference value between current input and temperature output, and generating a response identification threshold reference; and S2, based on the response identification threshold reference, performing amplitude evaluation on the real-time regulation and control signal output by the proportional-integral-differential controller, and when the amplitude of the regulation and control signal is lower than the response identification threshold reference for multiple times continuously and the temperature change is not caused, identifying as a dead zone response abnormal section. According to the invention, through response identification threshold value, dead zone and saturation identification, parameter self-adaptive correction and simulation feedback adjustment, the identification and response capability of the temperature control system to an abnormal state is enhanced, accurate output and dynamic optimization of a regulation and control signal are realized, the stability, precision and consistency of temperature control in a sintering process are obviously improved, and the yield and the process reliability are improved.

The invention relates to the technical field of automatic and semi-automatic electric arc welding, in particular to a steel structure machining and welding method and device utilizing a submerged arc welding machine. Acquiring a coupling degradation index at the current moment according to the dispersion degree of the weld penetration sequence at the current moment and the energy distribution uniformity degree of each coupling interference sequence; dividing the coupling degradation indexes at all moments into a plurality of data windows; acquiring an average coupling degradation index at the current moment, and acquiring a dynamic threat level at the current moment by combining the dispersion degree and the change rate of the coupling degradation index in each data window; and then the initial proportionality coefficient in the PID control system is optimized, and the optimized proportionality coefficient is used for adjusting the current of the main welding wire at the next moment. By evaluating the dynamic interference degree at the current moment, the PID control system can make a response more accurately and timely according to the current interference degree.

The invention discloses a fishery water body environment dissolved oxygen control optimization method, and belongs to the technical field of control optimization, and the method comprises the steps: S1, constructing a fishery water body management dissolved oxygen PID control system; s2, introducing an improved barber optimization algorithm; s3, setting a dissolved oxygen PID control parameter in the fishery water body management dissolved oxygen PID control system by using an improved barber optimization algorithm, and obtaining an optimal PID control parameter through optimization; and S4, setting the three optimal control parameters obtained through optimization by using the improved barber optimization algorithm as parameters of a dissolved oxygen PID controller in the fishery water body management dissolved oxygen PID control system, and optimizing a dissolved oxygen regulation control effect. By introducing the improved barber optimization algorithm, higher optimization precision is realized, and a PID controller parameter solution with better performance is obtained, so that the dissolved oxygen concentration of the water body can be more accurately and stably maintained, and a reliable technical guarantee is provided for fishery water body dissolved oxygen management.

The invention relates to the field of air conditioners, and provides a PID control system setting method and device, and the method comprises the steps: obtaining setting demand data; word vector extraction is carried out on the setting demand data to obtain word vector key value pairs; performing similarity matching on the word vector key value pair and each word vector in a word vector library, and determining a PID setting parameter based on a similarity matching result; wherein the word vector library is obtained by performing word vector extraction on the basis of the constructed knowledge graph library, and the knowledge graph library is constructed on the basis of the setting item entity, the to-be-set equipment entity and the relationship between the setting item entity and the to-be-set equipment entity. According to the method, the defect that the PID setting effect is poor due to the fact that expert knowledge and experience are manually converted is overcome, the PID setting parameters are rapidly and accurately positioned by combining the knowledge graph database, and the process of determining the PID setting parameters is accelerated.

The present invention provides a highly efficient and short-process process and apparatus for pre-curing, inflating, curing, and diffusion bonding of fiber-metal corrugated laminates. The apparatus comprises an upper gas line, an intermediate gas line, a lower gas line, an air pressure control system, an air pressure bottle, a resistance furnace, a temperature control system, a press and displacement sensor, a thermocouple, a PID control system, a solenoid valve, an upper mold, and a lower mold. The process flow is as follows: S1, preparation of carbon fiber prepreg and pretreatment of the laminate; S2, preparation of the fiber-metal corrugated laminate; S3, diffusion bonding of adjacent metal layers; S4, gradual cooling and pressure reduction for demolding. The present invention integrates the preparation and forming process of carbon fiber-reinforced magnesium alloy corrugated laminates with the diffusion bonding process of adjacent metal layers. The cross-linking and curing effect between the carbon fiber-reinforced epoxy resin and the magnesium alloy sheet material is uniform and excellent. The carbon fiber-magnesium alloy corrugated laminate components have high shape accuracy and excellent diffusion bonding of adjacent metal layers.

The invention discloses a two-way flue gas sampler and a method, and relates to the technical field of environmental monitoring. The sampler comprises a host shell, a main control circuit board, a double-path independent sampling gas path system, a man-machine interaction unit and a power supply module. The two sampling gas paths can independently control parameters such as flow and time, and synchronous parallel sampling is achieved. And each gas path adopts a closed-loop PID control system formed by an electronic flowmeter and a sampling pump, so that high-precision constant-current sampling is realized. Air tightness self-checking, touch screen and key combined man-machine interaction, large-capacity data storage and multiple export modes (USB, Bluetooth printing and 4G remote transmission) are integrated. A working condition measuring module can be selected and matched, integrated measurement of flue gas temperature, pressure, moisture content and flow velocity is achieved, and a built-in intelligent flue stationing and guiding function is achieved. The problems that a traditional single-path sampler is low in efficiency, multi-device cooperative operation is tedious, and data comparability is poor are solved, and the automation, integration and standardization levels of flue gas sampling are 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 application discloses a kind of accurate control methods of moisture and temperature of moisture regaining machine outlet, comprising:1, function relationship of hot air moisture content Wg in cylinder with tobacco flow, outlet moisture, ambient temperature and humidity data is established;2, the function relationship of hot air moisture content in moisture regaining cylinder with water addition, steam application amount is obtained by pipeline and wind volume calculation in moisture regaining cylinder;3, by coordinating control water addition and steam application amount, ensure that temperature and moisture two major index control stability.The application not only solves the problem of mutual restriction, mutual influence between temperature and moisture two sets of PID control system, but also effectively solves the problem of water stained tobacco due to system overshoot.

The invention relates to the technical field of robot vibration suppression, in particular to a robot vibration suppression method based on a state observer and a related device. The method comprises the following steps: receiving a motion control instruction, and determining an instruction position and an instruction speed of a motor side and an instruction position and an instruction speed of a connecting rod side according to the motion control instruction; obtaining state parameters of a motor side and state parameters of a connecting rod side collected by a state observer; determining full-state feedback parameters of the PID control system according to the state parameters of the motor side and the state parameters of the connecting rod side; and determining a feed-forward current and a feedback current of the PID control system. According to the invention, effective vibration suppression can be carried out on the movement of the robot.

The present invention discloses a PID control system and method, relating to the technical field of PID control. A signal acquisition module acquires analog signals; the analog signals include an analog reference signal and an analog feedback signal; a processing module converts the analog reference signal into a digital reference signal; converts the analog feedback signal into a digital feedback signal; performs a difference calculation on the digital reference value, the digital feedback value and a first interference value to obtain a first output value; performs a difference calculation on the first output value, the feedback value and a second interference value to obtain a second output value; a PID control module obtains three constants according to the second output value; obtains a third output value according to the second output value and the three constants; an HMI module is used to set parameters, display output values and parameters. The present invention improves the adjustment efficiency of the parameters of the PID control system and reduces the oscillation generated by the PID control system.

The invention discloses a fishery oxygenation control optimization method based on a meta-heuristic algorithm, and belongs to the technical field of control optimization methods, and the method mainly comprises the following steps: S1, constructing a fishery oxygenation PID control system; s2, constructing an improved white sheep seat element heuristic algorithm module; s3, optimizing and setting parameters; and S4, parameter setting and effect optimization. According to the method, by introducing strategies such as interstellar distant symptoms, emotional outbreak and nebula aggregation, the global optimization and convergence capacity is remarkably enhanced, nearly-zero overshoot of dissolved oxygen adjustment is achieved through the PID controller set through the improved white sheep seat element heuristic algorithm, the response time can be effectively shortened, the steady-state error can approach zero, and the method is suitable for large-scale popularization and application. In this way, energy consumption and accumulative errors can be effectively reduced while rapid and accurate control is guaranteed, and the robustness of a fishery oxygenation PID control system can be remarkably improved.

The application provides a magnetic field adjusting system and method, which comprises a measuring probe, a first-stage coil, a second-stage coil and a PID control system, wherein the second-stage coil is distributed on both sides of a uniform field area inside the first-stage coil, and the second-stage coil has a higher order than the first-stage coil; the measuring probe is arranged in a preset magnetic field adjusting area of the first-stage coil to measure the magnetic field information of the first-stage coil and the second-stage coil, or the measuring probe measures the magnetic field information of the first-stage coil and the second-stage coil and sends the information to the PID control system; and the PID control system adjusts the magnetic field of the second-stage coil based on the received magnetic field information to compensate the magnetic field of the first-stage coil. The measuring probe measures the magnetic field information of the first-stage coil and the second-stage coil, so that the PID control system can determine the current acting on the corresponding first-stage coil and second-stage coil according to the measured magnetic field information, thereby realizing real-time adjustment of the magnetic field.

This invention belongs to the field of semiconductor device manufacturing process control technology, specifically relating to a method for optimizing process parameters in VCSEL epitaxial wafer production. The method includes: constructing a multi-loop PID control system based on process parameters and key quality indicators during VCSEL epitaxial wafer growth; online identification of the ARX model during PID control system operation; calculation of the steady-state process gain matrix characterizing the steady-state causal relationship of the system; identification of the coupling direction based on the sign of the steady-state gain; and calculation of the antagonistic coupling strength factor and the cooperative coupling strength factor. The PID controller gain is then dynamically adjusted to achieve control of the epitaxial wafer growth process. This invention improves the response speed and robustness of each control loop while ensuring the overall stability of the multivariable control system, effectively reducing layer thickness and composition fluctuations caused by parameter drift and strong coupling during VCSEL epitaxial wafer growth, and improving the growth accuracy of the epitaxial wafer.

The application discloses a method for reducing short-circuit current of a double-fed wind turbine generator unit based on an improved lion swarm optimization algorithm, optimizes a rotor side control strategy of a double-fed wind power generation system, and better limits large current generated by the rotor side of the double-fed wind power generation system when a short-circuit fault occurs in a power grid under the environment of high proportion of renewable energy and high proportion of power electronic equipment (referred to as "double high") in a modern new power system. The specific steps are as follows: Step 1: constructing a double-fed wind power generation system model; Step 2: improving the lion swarm optimization algorithm, including two improvements: D1, using an automatic parameter adjusting step to improve the search space of the lion swarm optimization algorithm, and D2, introducing a new population updating strategy to solve the local optimal problem of the lion swarm optimization algorithm, named "pathfinding knight population"; Step 3: using the improved lion swarm optimization algorithm to optimize parameter setting of a PID controller of the double-fed wind power generation system, obtaining two parameters Ki and Kp of the optimized PID controller through a certain number of iterations; and Step 4: simulating the PID control system of the double-fed wind power generation system by using MATLAB and Simiulink, so that the improved lion swarm algorithm has the ability to obtain a global optimal solution and convergence speed, has faster global optimization speed and precision, can obtain the optimal result faster, and is more robust in solving the local optimal problem.

The invention relates to a four-axis unmanned aerial vehicle PID control system parameter setting method based on a Harris eagle optimization algorithm, and belongs to the field of embedded systems. According to the method, the limitation that traditional PID parameter setting depends on artificial experience, efficiency is low and global optimum is difficult to approach is broken through, and autonomous and efficient optimization of the parameters of the PID controller of the unmanned aerial vehicle is achieved by introducing the Harris eagle optimization algorithm and utilizing the collaborative hunting strategy and the self-adaptive escape energy mechanism of the Harris eagle optimization algorithm. The method comprises the following steps: firstly, establishing a six-degree-of-freedom kinetic model of the four-axis unmanned aerial vehicle based on a Newton-Euler equation, taking parameters of an inner ring PID controller and an outer ring PID controller as optimization variables, and designing a multi-target fitness function fusing ITAE indexes, overshoot and adjustment time; then, executing intelligent search in a parameter space by utilizing a Harris eagle algorithm; dynamically switching global exploration and local development through escape energy, and gradually approaching an optimal parameter; and finally, the optimized parameters are deployed to a flight control system, and high-precision robust control over the attitude and the position in the complex disturbance environment is achieved.

The invention discloses a rock breaking parameter intelligent regulation and control system based on multivariate data, and belongs to the field of TBM rock roadway tunneling rock breaking. A rock breaking parameter intelligent regulation and control system based on multivariate data is mainly composed of a data acquisition system, a Zigbee wireless transmission system, a shield propulsion hydraulic system and a series double-closed-loop PID control system. The data acquisition system is mainly used for monitoring the footage, stress, temperature and vibration information of the rock breaking cutter in real time through a displacement sensor, a stress sensor, a temperature sensor and an acceleration sensor which are mounted on a cutter head cutter, processing multivariate data by adopting wavelet analysis, and wirelessly transmitting amplified and integrated signals. The propulsion rate of the shield tunneling machine is adaptively adjusted, the rotating speed of the hob is indirectly adjusted, so that the service life of a cutter is prolonged, the working efficiency is improved, the rotating speed of the hob and hydraulic reasoning are mutually compensated to reach a balance state, and data fluctuation caused by unpredictable errors is eliminated.

The invention relates to the technical field of water conservancy automation control and edge computing, in particular to a self-adaptive PID control system for a water conservancy reservoir environment, which comprises an edge computing gateway, a water level sensor, a flow sensor and a servo execution mechanism, fluid static geometric parameters are obtained through a topological mapping module, an initial state matrix of a fluid momentum state observer is established, a momentum decoupling module inputs a dam front water level, upstream incoming water flow and opening data to update the state matrix, and transient fluctuation energy characteristics and real reserve residual characteristics are generated through decoupling. The priori fitting module calculates proportion, integral and differential coefficients according to the parameters, and the closed-loop evolution module generates a control instruction and corrects bottom resistance parameters; physical separation of real reservoir capacity change and surface wave disturbance is achieved, invalid oscillation of the gate is reduced, control stability under the flood peak working condition is improved, and the service life of an executing mechanism is prolonged.

The utility model relates to the technical field of related manufacturing of aviation support equipment, in particular to an electric hydraulic synchronous control jack for an airplane, which comprises a tripod, an actuator cylinder component is fixed in the middle of the tripod, the actuator cylinder component stretches out and draws back to realize the jacking and landing of the airplane, and at least three groups of jacks are required to be used for jacking the airplane. One group of jacks are used for jacking the fuselage, the other two groups of jacks are used for jacking the two groups of wings, an electric control box is further mounted on the triangular frame, and in the jacking process, synchronous starting of the pre-jacked actuator cylinder assemblies in the multiple groups of jacks is achieved through a synchronous jacking button arranged on the electric control box. An actuator cylinder assembly in one jack making contact with a machine body can operate at a fixed speed, the actuator cylinder assemblies in the other two jacks keep the height difference before operation, and the speed of the actuator cylinder assemblies is adjusted through a PID control system arranged in an electric control box to follow the jack with the fixed speed.