87 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 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 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 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 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 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 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 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 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 invention discloses an intelligent control system for a high-power mute type methanol power station, belongs to the technical field of power generation equipment, and particularly relates to the intelligent control system for the high-power mute type methanol power station, which integrates dynamic combustion optimization, a composite preheating system and intelligent operation and maintenance. The device is especially suitable for high-altitude environments above 3000 meters and low-temperature environments below-40 DEG C. Comprising a high-altitude adaptability structure, a low-temperature starting system, an AI intelligent management system, a mute design structure, a remote communication transmission system and a satellite positioning and geographic information system. Pressure and temperature sensors are used for real-time monitoring, a PID control system is used for automatically adjusting the rotating speed of a compressor, stable air inlet parameters are guaranteed, a combustion model is established in combination with atmospheric pressure and temperature data in the high-altitude environment, the combustion process is further optimized, and the combustion efficiency is improved. The methanol fuel preheating pipeline of the low-temperature starting system is wrapped by the nano carbon fiber electric heating film, accurate temperature control can be achieved, the preheating process is divided into three stages, and the problems that methanol fuel is not prone to combustion and insufficient in combustion at the low temperature are effectively solved.

This invention relates to the field of automated control in food processing, specifically a temperature and humidity PID control system for the ripening process of alum-free wide rice noodles. The system includes: a sensing interface module, which receives environmental state data including air temperature and air humidity; physical characterization data including real-time sample weight and sample surface temperature; a kinetic analysis module, which, in conjunction with the sample surface temperature and the drying weight loss rate, calculates the humidity gradient index characterizing the difference between the center moisture content and surface moisture content of the wide rice noodle sample; a strategy decision module, which determines dynamic correction setpoints for air temperature and air humidity; and an execution control module, which drives the temperature and humidity adjustment mechanism to perform heating, humidification, or dehumidification actions, so that the actual temperature and humidity in the ripening chamber approach the dynamic correction setpoints. This invention effectively solves the problem of monitoring blind spots caused by neglecting the physical evolution of the sample.

The invention is suitable for the technical field of PID control, and provides a control quantity determination method and device of a PID control system, equipment and a program product. The method comprises the steps that if the absolute value of a deviation value is smaller than a first threshold value and larger than a second threshold value, control parameters of the PID control system are adjusted according to the deviation value and a first trend deviation change rate through a mechanism model regulation and control area of the PID control system; if the absolute value of the deviation value is smaller than or equal to a second threshold value and larger than a third threshold value, a control parameter is adjusted according to the deviation value and the first trend deviation change rate through a fuzzy logic regulation and control area; and if the adjusted control parameters meet the constraint conditions, determining the current period control quantity of the PID control system according to the adjusted control parameters. According to the method, if the deviation value is large, the control parameters are adjusted through the high-efficiency mechanism model regulation and control area, and if the deviation value is small, the control parameters are adjusted through the high-accuracy fuzzy logic regulation and control area, so that the PID control system gives consideration to both accuracy and efficiency.

The invention belongs to the technical field of semiconductor device manufacturing process control, and particularly relates to a VCSEL epitaxial wafer production process parameter optimization method, which comprises the following steps of: constructing a multi-loop PID control system according to process parameters and key quality indexes in a VCSEL epitaxial wafer growth process, performing online identification on an ARX model during the operation period of the PID control system, and determining a VCSEL epitaxial wafer production process parameter. A steady-state process gain matrix capable of representing a steady-state causal relationship of a system is calculated, a coupling action direction is identified according to a symbol of steady-state gain, an adversarial coupling strength factor and a collaborative coupling strength factor are calculated, and then the gain of a PID controller is dynamically adjusted so as to realize epitaxial wafer growth process control. On the premise of ensuring the overall stability of a multivariable control system, the response speed and robustness of each control loop are improved, the layer thickness and component fluctuation caused by parameter drift and strong coupling in the growth process of the VCSEL epitaxial wafer is effectively reduced, and the growth precision of the epitaxial wafer is improved.

The utility model relates to the field of oil injection screw rod air compressor, specifically relates to an oil injection screw rod air compressor PID control system, including main motor and controller, controller signal connection has frequency changer, frequency changer electric connection main motor, and the main motor output shaft is fixed with bipolar compression host through the shaft coupling, and the bipolar compression host pipeline connection has air filter subassembly and oil -gas separation subassembly, oil -gas separation subassembly pipeline connection has lubricating oil small circulation subassembly and cooling assembly, set up lubricating oil big circulation subassembly between lubricating oil small circulation subassembly and cooling assembly, cooling assembly electric connection controller, the utility model has the advantages of: the circulation path of low temperature lubricating oil is greatly shortened, that is, the required time of low temperature lubricating oil circulating to the compression host can be greatly shortened, which is beneficial to the starting rate of the compression host.

The application discloses a kind of fishery water body environment dissolved oxygen control optimization method, belong to the technical field of control optimization, including S1, constructs fishery water body management dissolved oxygen PID control system;S2, introduce improved barber optimization algorithm;S3, utilize improved barber optimization algorithm to the dissolved oxygen PID control parameter setting in fishery water body management dissolved oxygen PID control system, and the best PID control parameter is obtained by optimization;S4, three optimal control parameters obtained by using improved barber optimization algorithm optimization are set as the parameter of dissolved oxygen PID controller in fishery water body management dissolved oxygen PID control system, and the effect of dissolved oxygen regulation control is optimized.The application introduces improved barber optimization algorithm, higher optimization accuracy is realized, and the PID controller parameter solution with better performance is obtained, so that water body dissolved oxygen concentration can be maintained more accurately and stably, and reliable technical support is provided for fishery water body management dissolved oxygen.

The embodiment of the application provides a PID control system and a control method, relates to the field of automatic control, and solves the problem that a single adjustment coefficient adjustment mode in the related art cannot guarantee the control speed and stability of a control system simultaneously. The control system comprises the following steps: determining a target adjustment amount according to a target control deviation and a target adjustment item in a current sampling period; determining a target input amount according to the target adjustment amount and a preset algorithm model; the output value of the preset algorithm model and the change amount of the output value are monotonically increasing on a preset interval; the preset algorithm model comprises a preset point and an origin; the abscissa of the origin is a starting endpoint of the preset interval; the abscissa of the preset point is a terminal endpoint of the preset interval; and inputting the target input amount into a PID adjustment device, so that the PID adjustment device adjusts the target adjustment item.

The invention discloses an air pre-heater temperature control optimization method for thermal power generation, and belongs to the technical field of control optimization, and the method comprises the steps: constructing an air pre-heater inlet air temperature PID control system, obtaining an actual air temperature feedback value through an inlet air temperature monitoring module, and transmitting the actual air temperature feedback value to an inlet air temperature error calculation module; the inlet air temperature error calculation module receives the target temperature value and compares the target temperature with a feedback value so as to calculate and output a real-time error signal and transmit the real-time error signal to the inlet air temperature PID controller module, and the inlet air temperature PID controller module subjected to parameter optimization calculates a control quantity according to the real-time error signal; and the control quantity is output to the inlet air temperature adjusting module so as to adjust the inlet air temperature of the air pre-heater. The risk of corrosion and dust deposition of the low-temperature section of the air pre-heater can be effectively reduced, and the high use value is achieved for guaranteeing safe operation of a thermal power generation system and improving the fine operation level.

The utility model discloses an automatic discharge inclined plate thickener, which solves the problems that the fluctuation conditions of material properties and grading conditions often occur in a mineral separation and concentration process, and if a discharge valve is not adjusted in time when the material properties fluctuate, the underflow blockage, the overflow muddy flow and the like are easily caused from the aspects of automatic detection, automatic discharge and the like of inclined plate equipment. According to the technical scheme of the invention, the flow rate of supplied materials and the pressure value of a bottom cone are monitored in real time and fed back to a PID control system, the set pressure transmitting value is converted into the concentration of the bottom cone, and the system controls the opening and closing of a bottom cone self-control valve, so that the concentration of the bottom cone can be controlled. The discharge index of inclined plate equipment is stabilized, the sorting efficiency is improved, and energy is saved; and meanwhile, the investment of labor cost is reduced.

This invention discloses a method for optimizing water flow velocity control in a fishery experimental pond, belonging to the technical field of control optimization. The method includes the following steps: constructing a PID control system for water flow velocity in the fishery experimental pond that incorporates an improved cosmic evolution optimization algorithm module; tuning and applying the improved cosmic evolution optimization algorithm to the PID control parameters for water flow velocity in the fishery experimental pond. This invention focuses on optimizing water flow velocity control in fishery experimental ponds, introducing multiple improvement strategies to enhance the cosmic evolution optimization algorithm. The optimized PID parameter combination obtained through the improved cosmic evolution optimization algorithm effectively reduces overshoot and settling time in the water flow velocity control process, while strengthening the suppression capability against load disturbances and system parameter perturbations such as sudden water flow changes. This improves the dynamic performance and robustness of the overall control system, effectively ensuring the accuracy and reliability of water flow velocity detection and regulation in the fishery experimental pond.

The application discloses a PID control system and method based on control deviation intelligent judgment, belongs to the technical field of PID control, and solves the problem that the existing thermal power unit control system can only select one type of PID, and the single type of PID cannot guarantee reasonable adjustment of the system while shortening the service life of an executing mechanism and maintaining the stability of the system. A dead zone module is used to judge the stability of a PID set value and a PID process value and the stability of a change rate of the PID set value and a change rate of the PID process value; a lock-in increase module is used to judge whether the difference between the PID set value and the PID process value is positive; if not, a lock-in decrease module is executed; if yes, when the change rate of the PID process value in the increasing direction is lower than a certain value, the lock-in increase module is executed; the lock-in decrease module is used to judge whether the difference between the PID set value and the PID process value is negative; if not, the lock-in increase module is executed; and when the change rate of the PID process value in the decreasing direction is lower than a certain value, the lock-in decrease module is executed.

The invention discloses a two-step reconstruction anti-interference PID control method and a control method of an SCR flue gas denitration system, and the method comprises the steps: carrying out cascade active-disturbance-rejection control reconstruction, decomposing a controlled object of a cascade PID control system into a determined part model and an uncertainty part model containing system disturbance through virtual decomposition, and carrying out the reconstruction of the cascade active-disturbance-rejection control reconstruction on the basis of the determined part model, constructing a cascade active-disturbance-rejection control system of which an inner ring adopts internal model control and an outer ring adopts active-disturbance-rejection control; carrying out anti-interference PID control reconstruction, equivalently reconstructing the cascade active-disturbance-rejection control system to form an anti-interference PID control system by adopting an improved disturbance observer, and decomposing system disturbance into negligible internal disturbance and external disturbance which generates influence on a controlled variable and meets a preset requirement by the improved disturbance observer; and performing two-step reconstructed anti-interference PID control based on the anti-interference PID control system.