536 results about "Control force" patented technology

Disclosed in the present invention are a multi-modal shared teleoperation system and method for a three-arm space robot. The system at least comprises a master-side teleoperation system, a communication module and a slave-side robot system, wherein the master-side teleoperation system at least comprises two force feedback hand controllers, a microphone array and upper computer software, and the slave-side robot system comprises two operating arms each equipped with a gripper at the end, an observation arm having a binocular camera mounted at the end, a vision unit, a force sensor and lower computer software. The method comprises: an operator controlling two operating arms of an extravehicular robot to execute a task, and controlling an observation arm to acquire a better local field of view. In the method, a multi-modal teleoperation method comprising pose control, voice control and force control is fused with autonomous control of a robot by means of a shared control algorithm, and thus, human-robot collaborative control over the position, orientation and contact force of a robotic arm can be realized on the basis of the requirements of the operator, and the robot autonomously executes other relatively simple tasks, thereby reducing the operation burden of operators, and improving the control efficiency.

The invention relates to the technical field of robot control, in particular to a force control method and system based on an impedance model for a rope-driven robot. Comprising the steps of system dynamics modeling and parameter identification, real-time axial compression sensing and model updating, Cartesian space impedance model design, adaptive impedance parameter adjustment, inner ring position control based on feedback linearization, force error compensation and expected trajectory generation, real-time control circulation and anti-interference processing and experimental verification and iterative optimization. According to the method, through real-time axial compression sensing and equivalent Young modulus dynamic updating, the problem of model mismatch caused by material rigidity sudden change in the phase change process of the hyperelastic material is solved. Specifically, a traditional method depends on static material parameter calibration, and real-time compensation of the nonlinear characteristic of the material is achieved through online estimation of the axial compression amount of the main beam and iterative correction of the Young modulus.

The invention discloses a hemispherical gyroscope phase-locking control optimization method and device, and the method comprises the steps: changing the vibration mode azimuth angles of a hemispherical resonator gyroscope, collecting the phase-locking frequency in real time for each vibration mode azimuth angle, and calculating the phase-locking optimization control force in real time according to the collection result, substituting the phase locking frequency and the phase locking optimization control force into an electrode driving excitation model to calculate a driving signal in real time and transmit the driving signal to a driving electrode, and after the phase locking frequency is stable, collecting a stable phase locking optimization control force corresponding to the vibration mode azimuth angle; according to all the vibration mode azimuth angles and the corresponding stable phase-locking optimization control force, constructing a relation model of the two, solving the relation model to obtain phase-locking optimization parameters, calculating the phase-locking optimization control force according to the phase-locking optimization parameters and the relation model, and substituting the phase-locking optimization control force into an electrode driving excitation model to calculate a driving signal. Therefore, the compensation for the driving signal when the hemispherical resonator gyroscope works normally is realized. According to the invention, the influence of the circumferential frequency difference on the output precision of the harmonic oscillator can be eliminated.

The invention discloses an underwater propeller thrust distribution control method and system based on QP optimization, which are used for avoiding redundant power consumption caused by improper distribution under redundant propeller configuration and prolonging underwater operation time and endurance mileage of a robot. The method comprises the steps that a preset attitude control instruction of the underwater robot and actual attitude information fed back by a current sensor are acquired, total disturbance acting on the underwater robot is estimated in real time based on the active disturbance rejection control principle, and expected total control force and total control torque instructions are calculated; constructing a quadratic programming problem based on the total control force and the total control moment instruction; solving a quadratic programming problem to obtain a first thrust instruction of each propeller after optimization; whether a propeller fault exists or not is diagnosed in real time, and when the fault is detected, a control efficiency matrix or a physical limitation constraint in the quadratic programming problem is dynamically adjusted; and solving again based on the adjusted quadratic programming problem to obtain a second thrust instruction of each propeller under fault tolerance.

The invention provides an anti-rollover control method and system for an electric automobile, and relates to the field of automobile body posture control. The control method comprises the following steps: collecting vehicle driving data; calculating a transverse load transfer rate based on the vehicle driving data, and calculating a comprehensive risk index in combination with the transverse load transfer rate and a sprung mass roll angle; the method comprises the following steps: presetting a comprehensive risk index early warning threshold value and a comprehensive risk index danger threshold value, judging the rollover working condition and the comprehensive risk index of the automobile, and executing a corresponding rollover prevention control strategy: when the rigidity of the suspension is changed, the comprehensive risk index still increases and exceeds the comprehensive risk index danger threshold value; the anti-rollover moment is changed by changing the control force of the suspensions on the two sides. After the suspension control force suppresses roll for a certain period of time, the comprehensive risk index is still not reduced to be below the early warning threshold value, the active steering system intervenes in combined control, the active steering system has two steering modes including front wheel steering and four-wheel steering, and different steering modes are used under different working conditions.

The invention relates to the technical field of ship motion control, and particularly discloses a ship dynamic positioning control method and system for a full-water-depth sea area, and the method comprises the steps: S1, measuring the water depth in real time, and calculating the water depth-to-draft ratio through combining with the ship draft; s2, according to the water depth-to-draft ratio, a water depth self-adaptive ship body dynamic model is updated; s3, calculating real-time optimal control force by utilizing an optimal quadratic index according to the updated water depth self-adaptive ship body dynamic model; and S4, performing dynamic positioning control according to the real-time optimal control force. The dynamic positioning system can be compatible with control requirements of deep water and shallow water operation areas, and the problems of control drift, instability divergence and the like caused by inertia increase, damping increase and thrust loss of a ship body in a shallow water area are solved.

The invention discloses an energy recovery full-active suspension control method based on deep reinforcement learning. The method comprises the following steps: 1, constructing an energy recovery full-active suspension simulation model and a simulation pavement model; 2, constructing a state quantity and an action quantity, and processing the action quantity to control suspension output control force; 3, designing a reward function; and 4, constructing a strategy-evaluation network, and training a neural network based on a PPO algorithm so as to dynamically generate a suspension control strategy. By optimizing the dynamic response of the suspension system, the performance of the vehicle on various road surfaces and under various driving conditions can be improved, so that collaborative optimization of energy recovery and suspension performance can be realized, and multiple requirements of the intelligent vehicle on comfort, safety and energy efficiency can be met.

The invention relates to the technical field of maglev motor dynamics and control, and discloses a bearingless asynchronous motor multi-frequency harmonic vibration cooperative suppression method, which comprises the following steps: acquiring radial displacement signals and mechanical angular velocity of a rotor in an x axis and a y axis under a stator fixed coordinate system, and stacking double-axis displacement signals into an observation vector; calculating a weighting coefficient of the normalized residual error through a Huber robust cost function, and outputting the amplitude, the phase and the confidence of each order of harmonic wave; estimating the total disturbance of the system by using a linear extended state observer with harmonic energy injection, wherein the total disturbance is obtained by weighted summation according to the confidence, order and mechanical angular velocity of each order of harmonic; calculating a feedback control force according to the total disturbance estimated value, and superposing the feedforward compensation force and the feedback control force to generate a total suspension force instruction; and according to the total suspension force instruction, inversely calculating a suspension winding current reference value and outputting a control instruction. According to the invention, a mutually complementary cooperative suppression mechanism is formed, and the suppression precision of multi-frequency vibration is improved.

Systems and methods for controlled-force thermal management device installation that helps thermal management of emerging, next-generation devices are provided. A system includes a mounting assembly for a thermal management device. The mounting assembly includes a fastener and a coupler. The system further includes a compression and locking interface configured to lock with the coupler and compress the mounting assembly to a predetermined loading point using a controlled force. The fastener is installed when the mounting assembly is at the predetermined loading point.

The invention provides a deep sea hydrothermal sampling system benthonic submersible and a state control method, and the method comprises the steps: planning a motion track according to a task demand, and dynamically adjusting the control force distribution weight of a propeller and a mechanical leg system according to an error between an actual motion state and an expected value, thereby optimizing the motion performance, and improving the stability of the underwater submersible. Through thrust distribution and inverse dynamics decomposition, the thrust and rotating speed of each propeller and the joint torque of the mechanical leg are accurately controlled, through the combined action of the mechanical leg and the propeller, the pose stability of the benthonic submersible in the working process is kept, the benthonic submersible has the capabilities of resisting ocean current interference and adapting to rugged terrains, and then the position pose precision of a hydrothermal sampling system is guaranteed. The operation efficiency is ensured, a closed-loop control system fuses sensor data, the data are processed by a state observer / filter, and the actual state of the submersible is fed back in real time, so that the precision and stability of motion control are improved, and the operation capability and adaptability of the submersible in a complex environment are enhanced.

The invention relates to a vehicle control method and device, a vehicle and a storage medium. The method comprises the steps of determining an elevation curve and a road surface type of a driving track in front of a vehicle based on image information acquired in a vehicle driving process; if the road surface type of the front driving track is a special road surface, determining whether a front axle and / or a rear axle of the vehicle is driven into a special road surface area or not according to the running parameters and the static parameters of the vehicle; under the condition that a front axle and / or a rear axle of the vehicle is driven into a special road surface area and the special road surface is a pulse disturbance road surface, the vertical movement distance of a front axle electromagnetic suspension and / or a rear axle electromagnetic suspension of the vehicle is determined based on the elevation curve and the motion parameters of the vehicle; and according to the vertical movement distance of the front axle electromagnetic suspension, a front axle linear motor of the vehicle is controlled to output first control force, and / or according to the vertical movement distance of the rear axle electromagnetic suspension, a rear axle linear motor of the vehicle is controlled to output second control force, so that adjustment of the vehicle electromagnetic suspension is achieved, and the riding comfort is improved.

The invention discloses a starling group-based unmanned aerial vehicle cluster safety control and steering consensus method, which comprises the following steps of: firstly, constructing a three-layer leader-follower network simulating a pigeon group hierarchical structure, and establishing a dynamic physical neighbor topology in combination with a communication radius; an improved artificial potential field method is designed, a damage area, a rejection area, an alignment area and an attraction area are divided, a smooth concave-convex function is introduced to adjust a potential field, and cooperative force and obstacle rejection force for maintaining an expected distance are generated; an inertial spin mechanism is introduced, when a maneuvering intention is detected, expected spin and perceptual spin are calculated, a spin kinetic equation is utilized to update a state, and a transverse consensus coupling force for driving a cluster to rapidly and synchronously steer is generated. And finally, for different levels of unmanned aerial vehicles, differentially fusing the control force, and updating the cluster state through numerical integration. According to the method, the internal safety distance of cluster high-density flight is guaranteed, the overall steering speed and consistency of the cluster facing sudden obstacles are remarkably improved, and the robustness of the system in a dynamic environment is enhanced.

The invention discloses a wheel-foot humanoid robot operation control method and system based on maneuverability optimization, and relates to the technical field of robot intelligent control. According to a mechanical arm tail end trajectory tracking task and mechanical arm joint motion constraints, a weight matrix is calculated in a self-adaptive mode through state vectors of a base and a mechanical arm joint; a robot dynamic model is constructed, and the tail end contact force of the mechanical arm is estimated based on a disturbance observer; the direction of the control force is determined according to an estimation result, and then force maneuverability enhancement is carried out; a speed instruction of an end effector is obtained, the expected base speed and the expected mechanical arm joint speed are obtained through a weight matrix, a hierarchical control frame of a model prediction controller and a whole-body controller is constructed based on an integrated dynamic model, the optimal wheel-leg interaction force spinor and the optimal joint torque are obtained through solving, and the optimal wheel-leg interaction force spinor and the optimal joint torque are obtained. Therefore, the whole-body motion control of the robot is driven. Through organic combination of disturbance compensation and force maneuverability optimization, the motion stability and operation efficiency of the robot are enhanced.

The invention relates to a vehicle suspension control method and device, electronic equipment and a storage medium. The vehicle suspension control method comprises the following steps: acquiring obstacle information of a preview obstacle and an obstacle identification confidence coefficient, which are obtained by performing preview identification on a vehicle driving road surface; the optimal control force of an actuator of a suspension in the vehicle is determined according to the obstacle information; determining a target confidence interval to which the obstacle recognition confidence belongs in a plurality of preset confidence intervals; and according to the target confidence interval and the optimal control force, determining the actual control force of the suspension. According to the embodiment of the invention, hierarchical control of the actual output force of the suspension can be carried out according to different obstacle recognition confidence coefficients, so that control of the actual output force of the suspension is matched with the obstacle recognition confidence coefficients, the control of the actual output force of the suspension better meets the actual driving working condition requirements of the vehicle, the vehicle comfort is improved, and the vehicle safety is improved. The smoothness of the vehicle passing through the obstacle is improved, and the energy consumption of suspension control is saved.

The invention relates to an active suspension control method and device of a corner module vehicle, computer equipment and a readable storage medium. The method comprises the following steps: acquiring vehicle state parameters and attribute information; according to the vehicle state parameters, the attribute information and preset anti-rollover constraints, the anti-rollover moment and the suspension total active force in the current vehicle state are determined; distributing the control force corresponding to each suspension based on a preset optimization target, the anti-rollover moment and the total active force of the suspension to obtain a target control force corresponding to each suspension; the target control force is used for performing active suspension control on each suspension. By adopting the method, the accuracy of anti-rollover control can be improved, and the safety of the angle module vehicle is improved.

The invention provides a suspension optimal control method and system based on feedforward and feedback, and the method comprises the steps: constructing a suspension system dynamic model, and constructing a suspension control force model according to the suspension system dynamic model; a state observer is constructed, then the current suspension state of the vehicle is estimated by using the state observer, then a feedback controller is constructed, and the suspension state is imported into the feedback controller to obtain feedback control force; constructing a feed-forward controller, then obtaining road surface unevenness information, and importing the road surface unevenness information into the feed-forward controller to obtain feed-forward control force; and importing the feedforward control force and the feedback control force into a suspension control force model to obtain the optimal control force of the system. According to the vehicle suspension control method and device, the problems that in the prior art, the vehicle suspension is controlled according to the running state of the vehicle affected by vibration, if sudden large-amplitude vibration influence occurs, operation among parts of the suspension exceeds the normal range, and the vehicle cannot run stably are solved.

The invention provides an anti-disturbance unmanned aerial vehicle trajectory tracking control method, system and device and a medium. The method comprises the following steps: establishing a six-degree-of-freedom rigid body dynamic model of a four-rotor unmanned aerial vehicle; selecting an unmanned aerial vehicle feasible trajectory of the kinetic model as an expected trajectory, and introducing a coupling attitude; designing a position loop control law, generating a virtual control force based on a smooth terminal sliding mode control surface, and calculating an actual thrust; designing an attitude loop control law, representing an attitude error based on Lie group SO (3), constructing an attitude tracking controller with a stable global index, and outputting a control torque; constructing a four-order state observer to estimate the angular velocity and the angular acceleration of the coupling attitude, and replacing a true value with an estimated value to participate in control law calculation; thrust and control torque are converted into thrust input of the unmanned aerial vehicle, the unmanned aerial vehicle is driven to track an expected trajectory, and the problems that in trajectory tracking control of the four-rotor unmanned aerial vehicle, dependence on position acceleration measurement is high, noise is amplified through differential derivation, disturbance rejection is weak, and real-time calculation burden is large are solved.

The invention discloses a heavy-load train operation control method which comprises the following steps: carrying out stress analysis on each carriage in a target heavy-load train, and calculating the control force of each carriage according to the control force acting on each carriage, the coupler force between each carriage and the adjacent carriage and the basic resistance borne by each carriage; constructing a multi-mass-point longitudinal dynamic model of the target heavy-load train; parameters of the basic resistance model have uncertainty; based on the multi-particle longitudinal dynamic model, solving a non-parallel distribution compensation fuzzy control law and an additional control law to obtain an optimal guaranteed-performance composite nonlinear feedback controller, and establishing a speed tracking closed-loop control system based on the optimal guaranteed-performance composite nonlinear feedback controller; and a speed tracking closed-loop control system is adopted to adjust the control force acting on each carriage based on the current speed of each carriage and the relative displacement between each carriage and the adjacent carriage, so that the target heavy-load train runs according to the expected speed. The running efficiency and the running safety of the heavy haul train can be improved.

The invention relates to the technical field of mechanical arm control, and discloses a mechanical arm force control method, system and device based on a current loop, and the technical scheme is characterized in that the mechanical arm force control method comprises the following steps: S1, obtaining the current value of each mechanical arm joint, and obtaining the joint torque according to the current-torque mapping relation; s2, according to the kinetic model, calculating a gravity item and a friction item in the joint torque to obtain the acting torque of the external force on each joint; s3, according to the acting moment of the external force on each joint, the tail end contact force is calculated in real time, the pose increment is obtained through processing, matrix transformation is conducted on the pose increment and the actual tail end pose, and the final pose is obtained; s4, performing inverse kinematics real-time solution on the final pose to obtain expected joint angle data, and performing torque feedforward control according to the expected joint angle data; the technical scheme of the invention has the advantages of low cost, fast response speed and strong anti-interference capability.

The invention relates to a mechanical arm self-adaption compliance control method and system based on model reference self-adaption and impedance parameter online identification, and belongs to the field of robots. The method comprises the steps that a mechanical arm task space dynamics model is established; designing a reference model; a recursive least square method is adopted, and an equivalent stiffness matrix and a damping matrix of the interaction environment are identified online; designing a composite adaptive law; the expected rigidity of the reference model is dynamically adjusted according to the environment rigidity obtained through identification; and according to sensor data collected in real time, the mechanical arm task space dynamics model, the robot parameter self-adaption law, the environment rigidity, the environment damping and the environment parameter identification robust item, control force is generated, and the mechanical arm is driven through the control force. According to the method and the system, the environment characteristics can be sensed online, and the compliant behaviors can be adaptively adjusted, so that safe, efficient and high-robustness interaction of the mechanical arm in a complex and unknown environment is realized.

The invention discloses a semi-active suspension attitude coordination method based on a suspension controller, and belongs to the technical field of attitude coordination, and the method comprises the following steps: S1, carrying out kinetic analysis on a whole vehicle suspension; s2, determining the control force of the vehicle body suspension based on the kinetic analysis result; and S3, according to the control force of the vehicle body suspension, a vehicle body posture coordination controller is used for completing posture control. The dynamic response of the pitch angle and the roll angle of the vehicle body is considered, the vehicle body attitude compensation strategy is constructed to restrain the vehicle body attitude change, and the vehicle stability and comfort are improved; the vehicle body attitude compensation controller is designed, accurate adjustment of pitching and roll is achieved, and the vehicle body attitude compensation method has good application value and development prospects.

The invention relates to a transverse movement berthing control method considering main thrust idling, which comprises the following steps of: dividing transverse movement berthing control into a controller part and a thrust distribution part, designing a three-degree-of-freedom controller for ship movement by utilizing a nonlinear disturbance observer in the aspect of the controller, and calculating force and moment required for transverse movement of a ship; in the aspect of thrust distribution, the discontinuity of a main thrust idle speed area and rudder force is considered, a thrust action range is decomposed into nine action ranges according to the thrust state of double main thrusters, multi-domain switching logic is designed to complete thrust distribution of control force, and therefore closed-loop control over ship transverse moving berthing is achieved. A simulation result proves the effectiveness of the method.

The invention relates to a force / position mixed impedance control method and system with a self-adaptive selection matrix, and the method comprises the following steps: 1, unifying torque control and position control into force / position mixed impedance control through a selection switching matrix according to the compliance control theory of a mechanical arm; 2, the selection switching matrix is associated with the output torque of the mechanical arm, the selection switching matrix is dynamically adjusted according to the normalization result of the output torque of the mechanical arm, and design of the matrix is completed; thirdly, the joint angular speed of the mechanical arm joint is converted into the speed of the mechanical arm tail end in an actuator through a Jacobian matrix, and the accelerated speed of the mechanical arm tail end is obtained according to the first step and the second step; fourthly, the contact process of the mechanical arm and the environment is designed into a spring system to add environment virtual compliance conditions, and fractional order impedance control force is designed; and 5, correcting the target acceleration by using a fractional order PD controller. According to the method, torque control and position control are balanced, and the flexibility and robustness of compliant control of the mechanical arm are improved.

Embodiments of the present disclosure provide a control method and a control system for a suspension system of a vehicle, and a vehicle. The method comprises: on the basis of road surface information ahead of a vehicle during traveling and a working condition parameter of the vehicle, performing first adjustment on a damping parameter of at least one shaft among a plurality of shafts of a suspension system; on the basis of the road surface information and the working condition parameter, performing second adjustment on a rigidity parameter of at least one shaft among the plurality of shafts of the suspension system; and, on the basis of road surface excitation information and an operating state parameter of the vehicle and a weight matrix corresponding to the working condition parameter, performing third adjustment on a control force parameter of at least one shaft among the plurality of shafts of the suspension system.

A marine maneuvering system for a marine vessel is provided. The marine maneuvering system comprises a marine vessel control unit configured to: obtain a requested movement of a joystick indicating a speed value and a direction value for an upcoming navigation of the marine vessel; obtain proximity signals from a proximity sensor in response to a target being sensed in at least portions of an environment surrounding the marine vessel at least towards a direction indicated by a direction value of the joystick; determine a distance between the marine vessel and the target based on the proximity signals; and control a force feedback device to apply a force feedback to the joystick based on the determined distance.

The invention discloses a complex terrain adaptability control system for a rescue robot, and belongs to the technical field of robots. According to the invention, full-closed-loop control is realized through the instruction layer, the hardware layer, the control layer and the monitoring layer. The control layer takes a posture adjusting module as a core, is linked with a PID (Proportion Integration Differentiation) and an impedance controller, and is combined with forward / reverse kinematics and suspension detection to realize accurate correction of a joint angle; the hardware layer feeds back attitude, joint movement and contact force data in real time by means of multiple sensors; meanwhile, a whole vehicle kinetic equation is established based on a spiral theory and a virtual work principle to deduce a contact force component, and a sliding rate is defined to quantify traction characteristics. According to the invention, through fusion of multi-module cooperation and mechanical modeling, organic unification of attitude control, force control flexibility and traction performance monitoring is systematically realized, and a complete attitude-force-traction cooperative control system is constructed.

The present application relates to the technical field of simulation system, specifically to a virtual battlefield scene simulation system and method thereof, the system comprises: terrain node identification module, combat unit control radius extraction module, terrain advantage area preliminary demarcation module, control force gradient evolution analysis module, advantage area boundary dynamic adjustment module.In the present application, through the joint screening based on elevation, visible penetration rate and surface roughness, the key nodes with cover and accessibility are accurately identified, the terrain selection accuracy is improved, the spatial distance between the advantage nodes and the combat units is calculated to realize the accurate association between the control range and the deployment, the isolated points are excluded by node clustering division, the complete control domain contour is constructed, the Laplace operator is introduced to calculate the control force change rate, the boundary is dynamically adjusted in response to the situation evolution, the spatial continuity and change logic of the control force expression are strengthened, and the scene adaptability and deduction accuracy in the simulation process are enhanced.

The invention provides an active suspension control method and system based on structural constraints and a bionic reference model, and relates to the technical field of active suspension control, and the method comprises the steps: S1, building a two-degree-of-freedom active suspension system model, and designing a disturbance observer to determine disturbance influence parameters; s2, establishing a bionic reference model to provide a reference tracking trajectory for motion control in the two-degree-of-freedom active suspension system; s3, setting a suspension mechanical structure hard constraint condition, and designing a nonlinear coordination function to balance the smoothness of the vehicle and the suspension deflection; s4, designing a preset performance controller according to the sprung mass vertical displacement tracking error; and S5, outputting the final active control force of the controller to realize two-degree-of-freedom active suspension system control. The sprung quality tracking trajectory error is controlled through the preset performance controller; and through a nonlinear coordination function, an active suspension control target is adjusted, and the suspension stroke is prevented from exceeding the structural limitation.

The invention belongs to the technical field of multi-agent cooperative intelligent control, and particularly relates to a multi-mechanical-arm cooperative control method under unknown disturbance, which comprises the following steps: establishing a dynamic model of a strict feedback nonlinear multi-mechanical-arm cooperative system; constructing a communication topological structure of the system through a virtual coupling mechanism; constructing a unified system collaborative error model; introducing a preset time function and a global preset performance function, mapping errors to an adjustable constraint performance space, and ensuring that all error signals are dynamically converged in a performance range set by a user; a task layer shape control force and a pose control force are designed under a distributed gradient descent method framework, a task layer overall control force is constructed, and multiple mechanical arms are driven to move cooperatively and keep a stable formation in a task space; designing a joint layer distributed adaptive control law under unknown disturbance through passive characteristics of a nonlinear system; according to the method, cooperative convergence and stable control of the multi-mechanical-arm system within the preset time can be achieved under unknown disturbance.

The invention discloses an automobile magneto-rheological suspension preview control method and system, and belongs to the technical field of automobile suspension control, and the control method comprises the steps: measuring the dynamic response of an automobile during driving through a vehicle-mounted sensor, processing data, and inputting the data into a road surface recognition algorithm to recognize the road surface unevenness during driving; a preview-fuzzy PID controller is designed to calculate the control force required by the automobile magnetorheological suspension in the current driving state, the corresponding control current is obtained by combining the forward and inverse model of the magnetorheological damper, the magnetorheological damper is controlled, and the smoothness of the automobile is improved. According to the method, the unevenness of the road surface below the four wheels can be identified, and the method has relatively good identification precision and self-adaptability under a complex road surface; and the influence of the front road information on the controller is considered, and the preview-fuzzy PID controller is designed to control the automobile magneto-rheological suspension, so that the smoothness and comfort of the automobile are better improved.