44 results about "Pid control system" patented technology

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 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 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 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.

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 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 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.

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 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.

The invention discloses an intelligent temperature monitoring, early warning and regulating method and system for mass concrete. The method comprises the following steps: constructing a long-short-term memory environment prediction model based on historical climate data, and then dynamically predicting environment parameters such as air temperature, humidity and wind speed to obtain an environment prediction data set; constructing a temperature-humidity-chemical-mechanical multi-field coupling analysis model, and correcting the model by using monitoring data, so as to comprehensively predict the temperature, humidity and mechanical response state in combination with an environment prediction result, and obtaining a mass concrete state prediction data set; further, an intelligent early warning system based on crack risk grade evaluation is constructed, a prediction result is comprehensively analyzed, the risk grade of concrete is judged, and a PID control system is used for implementing temperature regulation and control; and finally, an integrated visual display platform is established, and the whole process of monitoring, prediction, early warning and regulation is dynamically displayed and managed.

The invention discloses a waterproof coiled material processing roller surface temperature control optimization method based on swarm intelligence, and belongs to the technical field of control optimization, and the method mainly comprises the steps: S1, constructing a waterproof coiled material processing roller surface temperature PID control system; s2, introducing an improved cloud drift optimization algorithm to construct an improved cloud drift optimization algorithm module; s3, performing iterative optimization by using an improved cloud drift optimization algorithm to obtain an optimal control parameter; and S4, the optimal control parameters obtained through off-line optimization serve as static operation parameters to be solidified into a temperature PID controller module, and steady-state precision control over the roller surface temperature is achieved. According to the method, the improved cloud drift optimization algorithm serving as a swarm intelligence algorithm is introduced, off-line global setting is carried out on the roll surface temperature control PID parameters in the waterproof roll machining process, and the parameter matching precision and the system evolution stability of a control system facing a large-lag and strong-nonlinearity heat conduction model are effectively improved.

The application discloses a water flow control optimization method based on fishery environment dynamic monitoring and belongs to the technical field of control optimization, mainly including the following steps: constructing a fishery water flow PID control system, adopting an improved gray butterfly brood parasitism optimization algorithm to set parameters, and finally applying the best parameters obtained by optimization to a flow controller. The application utilizes reverse learning initialization to improve initial solution set coverage, gives individuals the ability to jump out of local extreme values through a Levy flight strategy, adopts a vector difference strategy to correct physical dimension and accelerate convergence, and applies a reverse defense restart mechanism to crack iteration stagnation by using spatial symmetry. The algorithm is applied to water flow PID parameter setting, reduces the overshoot and steady-state error of the system step response, shortens the adjustment time, and realizes precise dynamic control of the fishery environment water flow.

The invention discloses a PID control system real-time reliability prediction and adaptive maintenance method and system, electronic equipment and a program product, and relates to the technical field of industrial digital twin operation and maintenance. The method comprises the following steps: generating a probability digital twinborn body for each component according to current data of each component acquired from a PID physical system in real time; according to the historical data of each component, performing parameter calibration on the degradation process of the probability digital twinborn body corresponding to each component; predicting the reliability of the PID physical system at a certain time in the future by adopting the calibrated probability digital twinborn, and triggering maintenance early warning when a prediction result is smaller than a self-adaptive early warning threshold value; wherein the self-adaptive early warning threshold value is adjusted through the variance and gradient of the prediction result. According to the invention, the optimal balance between false alarm and missing alarm is realized.

This invention relates to a fuzzy neural network-based self-tuning PID control system for corrugated board warpage deformation, applied in the field of corrugated board production technology. The system includes: a data acquisition unit for real-time acquisition of raw paper moisture content, preheating cylinder temperature, ambient relative humidity, production line speed, and composite tension; a warpage detection device for detecting the amount of board warpage; a fuzzy neural network controller for outputting PID parameter adjustment values; a PID parameter self-tuning unit for real-time calculation of PID parameters; a PID controller for calculating control values; an actuator unit for adjusting operating parameters; and a graded trigger optimization module for graded online fine-tuning based on a superior product threshold and a qualified product threshold: no update when deviation ≤ superior product threshold, data is stored only when superior product threshold < deviation ≤ qualified product threshold, and an update is triggered when deviation > qualified product threshold. This invention solves the problems of low control accuracy and frequent ineffective adjustments in existing technologies, improving system stability and adaptability.

This invention discloses a method, system, electronic device, and program product for real-time reliability prediction and adaptive maintenance of a PID control system, relating to the field of industrial digital twin operation and maintenance technology. The method includes: generating a probabilistic digital twin for each component based on current data acquired in real-time from the PID physical system; calibrating the degradation process of the probabilistic digital twin for each component based on historical data; predicting the reliability of the PID physical system at a future time using the calibrated probabilistic digital twin; and triggering a maintenance warning when the prediction result is less than an adaptive warning threshold. The adaptive warning threshold is adjusted based on the variance and gradient of the prediction result. This invention achieves an optimal balance between false alarms and missed alarms.

The application relates to a highland environment simulation cabin and a use method thereof. The simulation cabin comprises a cabin body, a temperature and humidity sensor and a pressure sensor are arranged in the cabin body, a vacuum pump is arranged in the cabin body, an air inlet of the vacuum pump is communicated with the inside of the cabin body, a first-stage temperature and humidity adjusting unit, the first-stage temperature and humidity adjusting unit comprises a cabinet, the cabinet is communicated with the cabin body, a circulating fan and an evaporator, the circulating fan and the evaporator are located in the cabinet, the cabinet is communicated with the cabin body, a condenser is located outside the cabin body and communicated with the cabinet, a cooling tower is located outside the cabin body and communicated with the condenser, a second-stage temperature and humidity adjusting unit, the second-stage temperature and humidity adjusting unit is opened after the humidity in the cabin body is reduced to a certain degree, a PID control system, and the PID control system is electrically connected with the temperature and humidity adjusting unit.

The application discloses a hydraulic control optimization method for a tunnel intelligent steel reinforcement trolley, and belongs to the technical field of control optimization, which comprises the following steps: constructing a tunnel intelligent steel reinforcement trolley hydraulic proportional control valve PID control system, introducing an improved freshwater snail optimization algorithm, adjusting the hydraulic proportional control valve PID control parameters, mapping the obtained three optimal control parameters to the tunnel intelligent steel reinforcement trolley hydraulic proportional control valve PID controller, and optimizing the hydraulic proportional control valve adjustment control quality. Based on the improved freshwater snail optimization algorithm, the dynamic response quality of the hydraulic proportional control system is relatively optimized, the system overshoot can be relatively effectively inhibited while the adjustment time is greatly shortened, the steady-state margin and the closed-loop robustness of the system are enhanced, and relatively reliable control guarantee is provided for improving the positioning accuracy, operation stability and construction safety of the tunnel intelligent steel reinforcement trolley.

The invention discloses a bait casting amount control optimization method for fishery project management, and belongs to the technical field of control optimization, and the method comprises the following steps: S1, constructing a fishery bait casting amount PID control system; s2, introducing an improved hare escape optimization algorithm; s3, setting a bait casting amount PID control parameter in a fishery bait casting amount PID control system; and S4, setting the optimal control parameter obtained by optimizing and setting as a parameter of a bait casting amount PID controller in a fishery bait casting amount PID control system. According to the method, the group intelligence is introduced into the feeding amount PID control process, and the improved hare escape optimization algorithm is introduced to optimize and set the feeding amount PID control, so that the feeding amount adjustment and control effect can be effectively improved, the breeding cost in a fishery project is reduced, and bait waste and water pollution are avoided.

The application discloses a kind of integrated dust-free constant-temperature portable metal bath for marine oil stability and compatibility test, metal heating block is integrally formed, test chamber is provided in the inner cavity of metal heating block, heat insulation layer is filled between metal heating block and body, flip cover assembly is hinged on the upper part of body and completely covers metal heating block, double-screen control assembly includes mutually independent temperature control screen and timing control screen, temperature control screen and timing control screen are electrically connected with metal heating block, one side of body is provided with anti-misplug aviation plug.The application has the advantages compared with the prior art: the dust-free constant-temperature portable metal bath of the present application has four sandwiched heat insulation layers and zero insulation cotton in the cavity, and is equipped with a double-parameter independent segmented temperature control algorithm.The heating cavity of the present application is integrally machined from a whole piece of metal, which completely eliminates dust pollution from the source, and is equipped with a temperature and time dual-loop independent PID control system to improve test accuracy and equipment safety.

The present application relates to the field of exhaust air volume control, and particularly relates to a dynamic control method and system for exhaust air volume of a fume hood, which comprises the following steps: dividing a to-be-detected period into several sub-periods to obtain a target point in a target period, and calculating the disturbance degree of the target point; training a prediction model based on a feature sequence in history, constructing a detection window, inputting the feature sequence of the detection window into the prediction model to obtain a prediction window, and calculating the required air volume of the target point at a to-be-adjusted time; traversing to obtain the required air volume of each monitoring point at the to-be-adjusted time, calculating the ideal exhaust air volume of the fume hood at the to-be-adjusted time, and inputting the ideal exhaust air volume into a PID control system to control the exhaust air volume of the fume hood. Through the technical scheme of the present application, the accuracy of the control result of the exhaust air volume can be improved.

The application discloses a tension control optimization method for cable performance detection and belongs to the technical field of control optimization, and comprises the following steps: S1, a cable tension PID control system is constructed; S2, an improved perfumer optimization algorithm is introduced; S3, the improved perfumer optimization algorithm is used to set the tension PID control parameters in the cable tension PID control system, and the optimal control parameters are obtained through optimization; and S4, the optimal control parameters obtained through optimization are set as the parameters of the tension PID controller in the cable tension PID control system, and the tension control effect is optimized. The perfumer optimization algorithm is introduced and improved, the stability and robustness of the tension control system for cable performance detection are improved, the actual tension can be more quickly and stably reached and maintained at the target set value, and the measured cable is prevented from being damaged by large tension fluctuation or the accuracy of the cable performance detection data is prevented from being affected.

The application relates to the technical field of robot vibration suppression, in particular to a robot vibration suppression method based on a state observer and related devices. The method comprises the following steps: receiving a motion control instruction, determining a command position and a command speed of a motor side and a command position and a command speed of a connecting rod side according to the motion control instruction; acquiring a state parameter of the motor side and acquiring a state parameter of the connecting rod side collected by the state observer; determining full-state feedback parameters of a PID control system according to the state parameter of the motor side and the state parameter of the connecting rod side; and determining a feedforward current and a feedback current of the PID control system. The application can effectively suppress the vibration of the motion of the robot.

The invention discloses a land planning measurement carrier control optimization method based on a swarm intelligence algorithm, and belongs to the technical field of swarm intelligence control optimization. Comprising the steps of constructing a differential surveying and mapping vehicle PID control system, introducing an improved kangaroo escape optimization algorithm module, setting motor rotating speed PID control parameters in the differential surveying and mapping vehicle motor rotating speed PID control system, and setting optimal control parameters as operation parameters of a motor rotating speed PID controller module in the differential surveying and mapping vehicle motor rotating speed PID control system. According to the method, the optimization efficiency of the PID control parameters of the motor rotating speed of the differential surveying and mapping vehicle is improved, the improved kangaroo escape optimization algorithm is introduced based on the swarm intelligence algorithm, the optimization efficiency of the PID control parameters of the motor rotating speed of the differential surveying and mapping vehicle is systematically improved based on a plurality of improvement strategies, the motor rotating speed of the differential surveying and mapping vehicle is more accurately controlled, and the optimization efficiency of the PID control parameters of the motor rotating speed of the differential surveying and mapping vehicle is improved. And the influence of rotating speed fluctuation on the quality of data acquired by a subsequent territorial planning surveying and mapping sensor is reduced.