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552 results about "Sliding mode control" patented technology

In control systems, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal (or more rigorously, a set-valued control signal) that forces the system to "slide" along a cross-section of the system's normal behavior. The state-feedback control law is not a continuous function of time. Instead, it can switch from one continuous structure to another based on the current position in the state space. Hence, sliding mode control is a variable structure control method. The multiple control structures are designed so that trajectories always move toward an adjacent region with a different control structure, and so the ultimate trajectory will not exist entirely within one control structure. Instead, it will slide along the boundaries of the control structures. The motion of the system as it slides along these boundaries is called a sliding mode and the geometrical locus consisting of the boundaries is called the sliding (hyper)surface. In the context of modern control theory, any variable structure system, like a system under SMC, may be viewed as a special case of a hybrid dynamical system as the system both flows through a continuous state space but also moves through different discrete control modes.

Unmanned aerial vehicle self-adaptive wind-resistant flight control method based on multi-mode environment perception

The invention relates to an unmanned aerial vehicle self-adaptive wind-resistant flight control method and system based on multi-mode environment perception. The method comprises the steps that a miniature wind speed and direction sensor array obtains real-time wind speed and wind direction information of the surrounding environment of an unmanned aerial vehicle; the inertial measurement unit obtains real-time attitude angle, angular velocity and acceleration information of the unmanned aerial vehicle; the visual flow sensor obtains real-time image data of the surrounding environment of the unmanned aerial vehicle; the data fusion and wind field estimation module receives multi-source data collected by the miniature wind speed and direction sensor array, the inertial measurement unit and the visual flow sensor, carries out fusion processing on the multi-source data based on an extended Kalman filtering algorithm, and predicts to obtain predicted wind field information in a future short time window; the flight control core module adopts an adaptive sliding mode control algorithm to calculate a compensation control quantity for counteracting wind disturbance, and performs real-time control on the unmanned aerial vehicle based on the compensation control quantity; and the wind resistance and the operation reliability of the unmanned aerial vehicle in a complex dynamic environment are improved.
Owner:HUBEI HANRUIJING AUTOMOBILE INTELLIGENT SYST CO LTD

Rigid-elastic coupling-oriented active and passive integrated control method for hypersonic flight vehicle

ActiveCN121325726AProgramme controlComputer controlActive feedbackModal filter
The invention belongs to the technical field of hypersonic flight vehicle control, and relates to a rigid-elastic coupling-oriented active and passive integrated control method for a hypersonic flight vehicle. The invention aims to realize stable tracking control of the elastic hypersonic flight vehicle. The method comprises the following steps: constructing a longitudinal dynamic model of the elastic hypersonic aircraft; self-adaptive identification of the elastic vibration frequency is realized through a cascaded self-adaptive filter; an elastic modal filtering estimation method is designed, and high-precision and low-cost elastic modal state quantity is provided for subsequent active feedback controller design; and then rigid-elastic coupling model decomposition is carried out, the control performance is ensured by using active disturbance rejection passive control for a rigid body subsystem, an RBF neural network is introduced for an elastic subsystem, an elastic mode is actively inhibited by using sliding mode control, and stable tracking of a reference instruction is realized. The method is an active and passive integrated control method for the hypersonic flight vehicle oriented to rigid-elastic coupling, and the application prospect is wide.
Owner:DALIAN UNIV OF TECH +1

Electric power control method based on diesel generator, commercial power and photovoltaic grid connection

The invention discloses an electric power control method based on a diesel generator, commercial power and photovoltaic grid connection. The method comprises the following steps: acquiring operation data of commercial power, a diesel generator and photovoltaic-energy storage through an energy management system, constructing a multi-target dynamic optimization model, and distributing power by taking the lowest comprehensive operation cost, the highest power supply reliability and the minimum carbon emission as targets; the power analysis and regulation unit adopts a double-loop mechanism of outer-loop Kalman filtering prediction compensation and inner-loop model prediction control, synchronizes the voltage, frequency and phase of the side to be connected with the grid and the power grid side, and smoothly switches the power change rate of each energy source in the process through a self-adaptive sliding mode control strategy; and the grid-connected switching unit intelligently pre-judges the grid-connected switching opportunity by using a long short-term memory (LSTM) network and fuzzy logic fusion model. According to the invention, the energy utilization efficiency and the power supply stability are improved, multi-energy intelligent dynamic regulation and control are realized, the comprehensive operation cost of the system is effectively reduced, and reliable power supply under complex working conditions is ensured.
Owner:GAMBOV MINING CO LTD

Phase-loss self-fault-tolerant control method for phase-shift-free dual three-phase permanent magnet synchronous motor

The invention discloses an open-phase self-fault-tolerant control method for a phase-shift-free dual three-phase permanent magnet synchronous motor. The method can automatically adjust a current distribution relation in the case of an open-phase fault and suppress torque pulsation in combination with neutral point voltage compensation. Comprising the following steps: driving two pairs of three-phase winding modules of the phase-shift-free DTP-PMSM in parallel by adopting two two-level three-phase voltage source inverters, and providing a mathematical model of the motor; current distribution is automatically adjusted; compensating the voltage of the neutral point, and calculating the offset of the fault module; the current is redistributed to suppress the torque ripple after the fault, and the secondary oblique wave component generated by the phase failure fault is eliminated; a current loop controller is improved through dead-beat predictive control; the speed ring controller is optimally designed into an improved sliding mode controller; an improved double-loop controller system is formed by combining improved sliding mode control and dead-beat prediction control, high-gain parameters are set to improve the dynamic response performance of the system, and a new self-fault-tolerant control system is formed.
Owner:ZHEJIANG UNIV OF TECH

Active suspension control method and system based on Skyhook-ADRC-FFORC

The invention belongs to the technical field of active suspension control, and particularly relates to an active suspension control method and system based on Skhook-ADRC-FFORC. According to the method, key parameters are obtained by establishing a 1 / 4 vehicle suspension dynamical model, a state space model is constructed, active disturbance suppression control is introduced on the basis, and the stability of the vehicle suspension is improved. Real-time estimation and compensation of vehicle body displacement and total disturbance of a system are realized, fractional order sliding mode control is combined, a fractional order sliding mode surface is constructed by using a Caputo operator, high robustness and smoothness are considered, the buffeting problem of a traditional sliding mode is suppressed, and finally, the high-frequency vibration isolation advantage of Skyhook control and the anti-interference capability of ADRC-FFORC are subjected to weighted fusion. The problems that in the prior art, model simplification and control distortion are caused, and a single strategy cannot give consideration to multi-target performance are solved, and by fusing ADRC, FOSMC and Skyhook control and realizing adaptive weighted switching, the robustness, smoothness and real-time performance of the active suspension under complex working conditions are effectively improved, so that collaborative optimization of vehicle comfort and safety is realized.
Owner:HANGZHOU DIANZI UNIV

Differential homeomorphic mapping-based constraint following control method for two-arm collaborative robot

The invention discloses a constraint following control method of a two-arm collaborative robot based on differential homeomorphic mapping, and relates to the field of robot control. According to the method, a nominal dynamical model of a robot is established, and a geometric constraint equation is defined according to a cooperative task; establishing global differential homeomorphic mapping by constructing constraint tracking variables and complementary coordinates, and decoupling a system dynamics model into a constraint tracking subsystem and a complementary subsystem; designing a robust adaptive controller fusing sliding mode control and an adaptive law, and estimating and compensating the uncertainty of the system on line; according to the method, the constraint processing complexity is effectively simplified through differential homeomorphic mapping, the constraint tracking precision and robustness of the system under model uncertainty and external interference are remarkably improved, and high-precision and high-stability cooperative task execution of the two-arm robot in the dynamic environment is achieved.
Owner:HEFEI UNIV +1

Permanent magnet synchronous motor rotating speed control method based on composite sliding mode control

The invention discloses a permanent magnet synchronous motor rotating speed control method based on composite sliding mode control. The method comprises the steps that a mathematical model of a permanent magnet synchronous motor in a d-q axis synchronous rotating coordinate system is built; designing a layered sliding mode surface according to the mathematical model of the permanent magnet synchronous motor; designing a mixed reaching law containing a barrier function in combination with a sliding mode surface; and estimating periodic and non-periodic disturbances existing in the rotating speed of the permanent magnet synchronous motor and carrying out feed-forward compensation on sliding mode control by adopting a cascaded extended state observer combined with quasi-resonance control. According to the method, the rotating speed precision of the permanent magnet synchronous motor can be effectively improved, the dynamic response is improved, and a better inhibition effect on periodic and non-periodic disturbance is achieved.
Owner:TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY +1

Anti-interference finite time control method for satellite attitude system under complex dynamic disturbance

The invention discloses a satellite attitude system anti-interference finite time control method under complex dynamic disturbance, and the method comprises the steps: building a rigid satellite attitude maneuver control model according to satellite attitude dynamics and kinematics equations; designing a self-adaptive fine disturbance observer to estimate the total disturbance of a satellite attitude system by combining the influence of the external disturbance variable on the rigid satellite attitude maneuver process, and outputting an estimated value of the external disturbance variable; a three-stage segmented sliding mode control method is designed, dynamic continuity of a three-stage sliding mode is ensured, and segmented sliding mode control output is obtained; and compensating the segmented sliding mode control output by using an estimated value of an external disturbance variable output by a self-adaptive fine disturbance observer to realize satellite attitude stable control. According to the method, the problem that the stability of the satellite is reduced in the attitude maneuvering performance process when external disturbance exists is solved, better observation performance and shorter attitude stabilization time are achieved, and the control precision of the satellite is effectively improved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Anti-interference speed control method for permanent magnet synchronous motor

The invention relates to an anti-interference speed control method for a permanent magnet synchronous motor, in particular to the technical field of electrical engineering, and effectively solves the problem that the control performance of the permanent magnet synchronous motor is degraded due to model parameter drift and external load sudden change under complex working conditions. According to the method, the high robustness of sliding mode control and the rolling optimization characteristic of model prediction control are creatively fused, and an adaptive observer is introduced to estimate the system state and lumped disturbance online, so that the real-time feedforward compensation and active suppression of parameter uncertainty and disturbance are realized; according to the method, the dynamic response speed and the steady-state precision of the system are remarkably improved, the rotating speed fluctuation and the torque ripple are effectively inhibited, meanwhile, controller parameters are adaptively adjusted through an intelligent learning mechanism, the stability and the adaptability in long-term operation are ensured, and the method is suitable for large-scale popularization and application. The limitation that a traditional control strategy depends on an accurate model and the disturbance boundary is unknown is overcome fundamentally, and high-performance and high-robustness speed control is achieved.
Owner:SCHOOL OF ART & INFORMATION ENG DALIAN UNIV OF TECH

Mining electric locomotive PMSM control method

The invention discloses a PMSM (permanent magnet synchronous motor) control method for a mining electric locomotive. The method comprises a cooperative control framework of a fractional order sliding mode controller and a nonlinear extended state observer. Wherein the fractional order sliding mode controller constructs a novel sliding mode surface by introducing a terminal factor and a fractional order calculus theory, and introduces a state variable to design an adaptive fractional order reaching law, so that buffeting is effectively inhibited and controlled while system error convergence is accelerated; and the nonlinear extended state observer is used for estimating the uncertainty of a system model and the disturbance of an external load in real time, and introducing the uncertainty and the disturbance as feedforward compensation quantity into a control loop, so that the anti-interference capability of the system is remarkably enhanced. Through deep fusion of the fractional calculus theory, the sliding mode control and the nonlinear extended state observer, the problems of large buffeting, slow response, poor anti-interference capability and the like of a traditional control method of the mining electric locomotive under complex working conditions are solved, and the dynamic and steady state performance and the control precision of the system are remarkably improved.
Owner:JILIN INST OF CHEM TECH

Fire-fighting unmanned aerial vehicle flight attitude instability control device and control method thereof

The invention relates to the technical field of unmanned aerial vehicle control, and discloses a fire-fighting unmanned aerial vehicle flight attitude instability control device and a control method thereof. The device at least comprises a control module which is configured to estimate an equivalent disturbance torque vector generated by throwing a fire extinguishing bomb in real time by utilizing an expansion state observer according to an attitude state quantity, a load state parameter and a current motor control instruction, a self-adaptive sliding mode controller fuses the equivalent disturbance torque vector and a feedback control quantity obtained through sliding mode control based on the current attitude error, a total compensation torque instruction needed by the fire-fighting unmanned aerial vehicle to recover stability is generated, and the total compensation torque instruction is decomposed into a target displacement instruction and a differential speed adjusting instruction; and the execution module is configured to execute the target displacement instruction by using the movable counterweight mechanism to drive the counterweight block to move, and execute the differential speed adjustment instruction through the power fine adjustment mechanism to adjust the rotating speed of the motor. The problem of attitude instability after bomb dropping of the fire-fighting unmanned aerial vehicle is effectively solved.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO

Power system demand control method, device, equipment and medium

The invention discloses a power system demand control method and device, equipment and a medium, and relates to the technical field of power control. The method comprises the following steps: collecting multi-dimensional sensing data and generating a power system state vector through denoising and filtering; inputting the power system state vector into a BP neural network, and outputting a PID initial control parameter; adjusting the PID initial control parameter based on the load change rate to obtain a PID control parameter; according to the target power demand and the actual power demand, demand deviation, a demand deviation grade coefficient and demand deviation acceleration are determined; according to the PID control parameters, the demand deviation, the demand deviation grade coefficient and the demand deviation acceleration, determining energy storage charging and discharging target power; adjusting the energy storage charging and discharging actual power through a sliding mode control algorithm; pID control parameters are adjusted according to the energy storage charging and discharging actual power so as to achieve the demand control target. By adopting the demand control method of the power system, the demand control precision can be improved.
Owner:重庆玖奇科技有限公司

Electric linear servo system control method based on cascade LESO-DISMC

The invention discloses an electric linear servo system control method based on cascade LESO-DISMC. The method comprises the following steps: firstly, establishing a complete mechanism model of a permanent magnet synchronous motor servo loading system; then designing DOB interference observer real-time compensation by adopting a LuGre friction model and a gap dead zone model; a feedforward control quantity is constructed by utilizing a measurable displacement signal, and redundant torque is inhibited; designing a dynamic integral sliding mode controller to ensure global stability; a high-low bandwidth LESO is constructed, and both fast tracking and smooth filtering are considered; and finally, trajectory optimization is carried out, a smooth trajectory is generated by adopting polynomial interpolation for the step and triangular wave signals, and mechanical vibration is inhibited. According to the method, a LuGre friction model is adopted to compensate nonlinear friction, cascade linear LESO and sliding mode control are combined, a track is optimized through an S-shaped curve, and the problem of'differential explosion 'is solved; according to the method, instruction smoothing, core control and friction compensation are fused, and the anti-interference capability and the loading precision of the system are improved.
Owner:NANJING UNIV OF SCI & TECH

Mechanical arm trajectory tracking algorithm based on improved sliding mode adaptive neural network

The invention discloses a mechanical arm trajectory tracking algorithm based on an improved sliding mode adaptive neural network, and belongs to the technical field of mechanical arm control. The method comprises the steps that recorded data of an improved sliding mode and a neural network about the mechanical arm and estimated values under the influence of actual modeling errors and external disturbance are obtained, and a mechanical arm dynamic model is jointly constructed; through the collaborative design of dynamic modeling optimization, sliding mode control improvement and adaptive RBF neural network compensation, the three core problems of low precision, large buffeting and poor reliability in mechanical arm trajectory tracking are synchronously solved; the radial basis function neural network is adopted for online estimation, the influence of modeling errors and external unknown disturbance on a mechanical arm system is avoided, the trajectory tracking precision is improved, and meanwhile it is guaranteed that all joint angles operate stably, and sudden change of torque does not exist.
Owner:ANHUI QUANCHAI ENGINE

Vehicle-road collaborative awareness and fusion estimation vehicle stability control method facing beyond visual range scene

The invention discloses a vehicle-road collaborative perception and fusion estimation vehicle stability control method for a beyond-visual-range scene, and belongs to the technical field of crossing of intelligent traffic, vehicle control engineering and an automobile safety technology. The method comprises the following steps: acquiring vehicle dynamic data through a vehicle end sensor, estimating a dynamic pavement adhesion coefficient based on a seven-degree-of-freedom model and unscented Kalman filtering, acquiring a pavement image by using a roadside camera, identifying a pavement state by using a MobileNetV3 + model, and mapping the pavement state into a visual pavement adhesion coefficient; a discrete time Kalman filter is adopted to fuse dynamics and visual estimation results, and the fusion weight is dynamically adjusted according to the confidence coefficient; and transmitting the fused road adhesion coefficient to a vehicle end controller, and designing an upper-layer controller and a lower-layer controller based on sliding mode control and road adhesion coefficient identification, thereby realizing stability control of the vehicle under complex road conditions. The accuracy and foresight of road adhesion coefficient estimation can be effectively improved, and the handling stability of the vehicle under the limit working condition is enhanced.
Owner:JILIN UNIVERSITY

Fast reflector sliding mode control method and related equipment

The invention belongs to the technical field of optical device control, and discloses a fast reflector sliding mode control method and related equipment, and the method comprises the steps: building a closed-loop error model of a fast reflector; the closed-loop error model comprises a lumped disturbance item jointly formed by external disturbance and system parameter measurement deviation; setting a fixed time RBF disturbance observer; the fixed-time RBF disturbance observer is used for estimating a lumped disturbance item so as to output a lumped disturbance estimated value, and the fixed-time RBF disturbance observer is configured with a weight updating law which enables an estimation error to converge within fixed time irrelevant to an initial state; constructing a sliding mode controller based on a lumped disturbance estimated value output by the fixed-time RBF disturbance observer and a closed-loop error model; a sliding mode controller is used for controlling the fast reflecting mirror; therefore, the control precision and the anti-interference capability are improved, and the problems that the controller depends on the disturbance upper bound and the disturbance estimation convergence time depends on the initial state are solved.
Owner:JIHUA LAB

Fuel coal-molten salt energy storage dynamic characteristic decoupling method based on multi-time scale control

The invention relates to the technical field of power system dispatching and control, in particular to a fire coal-fused salt energy storage dynamic characteristic decoupling method based on multi-time scale control, which comprises the following steps: constructing a multi-physical field coupling model of a coal-fired unit and a fused salt energy storage system; dividing a minute-level adjustment scale and a second-level response scale based on the coupling model; aiming at the minute-level regulation scale, designing a power distribution strategy based on model prediction control, matching a load trend in a power grid, and reserving a power regulation margin for second-level response; aiming at a second-level response scale, designing a compensation strategy based on sliding mode control, and correcting power deviation to track a real-time instruction of a power grid; and associating the minute-level strategy with the second-level strategy through a dynamic weight coefficient to form a closed loop to cooperatively complete dynamic characteristic decoupling. The problem of power supply and demand mismatch of the coal-fired unit and the fused salt energy storage system in coupling operation can be solved, the response speed, the adjustment precision and the operation stability of the system are improved, and technical support is provided for efficient operation of a novel power system.
Owner:POWERCHINA JIANGXI ELECTRIC POWER ENGINEERING CO LTD

Mechanical arm self-adaptive sliding mode control method based on disturbance observer

The invention discloses a mechanical arm self-adaptive sliding mode control method based on a disturbance observer, and relates to the technical field of mechanical arm control, and the mechanical arm self-adaptive sliding mode control method comprises the following steps: constructing an initial dynamic model based on a Lagrange equation; constructing a simplified two-degree-of-freedom rigid mechanical arm dynamic model based on the initial dynamic model; designing a novel reaching law fusing the advantages of an exponential reaching law and a power reaching law, and combining a hyperbolic tangent function to replace a sign function to construct a sliding mode surface; designing a nonlinear disturbance observer, estimating the total disturbance of the system in real time, carrying out feed-forward compensation, and bringing the composite disturbance influence into a control law; designing a control law and an adaptive law of the mechanical arm through a Lyapun function; the stability of the system is analyzed through a Lyapunov function, tracking errors are proved to be asymptotically converged, and the method is used for ensuring the reliability and stability of the control system. According to the method, the disturbance observer and the self-adaptive sliding mode control strategy are combined, and the control precision and robustness of the mechanical arm when external disturbance and model uncertainty exist are effectively improved.
Owner:WUXI XINENG REAL ESTATE MANAGEMENT CO LTD

Safety constraint vehicle formation distributed sliding mode control method based on preset performance function

The invention relates to a safety constraint vehicle formation distributed sliding mode control method based on a preset performance function. Compared with the prior art, the defect that vehicle formation control is difficult to meet safety constraint, preset performance and distributed cooperative control at the same time is overcome. The method comprises the following steps: establishing a vehicle formation three-order state space model; generating a following vehicle smooth reference trajectory; a preset performance constraint of the following vehicle is designed; calculating the expected speed of the following vehicle; calculating the expected torque of the following vehicle; a following vehicle driving system is controlled; and formation cooperative control is realized. According to the invention, through a reference generation mechanism of constraint perception, a preset performance function with a self-adaptive boundary and a topological structured reaching law, high-performance tracking of the track of the pilot vehicle is realized on the premise of ensuring that all following vehicles meet the time-varying safety boundary.
Owner:ANQING NORMAL UNIV

Four-rotor unmanned aerial vehicle robust trajectory tracking method based on sliding mode control-improved extended state observer

The invention relates to the technical field of aircraft control, in particular to a four-rotor unmanned aerial vehicle robust trajectory control method based on a sliding mode control-improved extended state observer. The method comprises the following steps: firstly, establishing a nonlinear dynamic model of the quad-rotor unmanned aerial vehicle, and decomposing the system into a hierarchical control structure of a position outer ring and an attitude inner ring; secondly, a third-order extended state observer (ESO) is designed to estimate composite disturbance of each channel in real time, an improved sliding mode control law with observation error compensation is provided, and the vibration bearing phenomenon is effectively restrained; and finally, proving the asymptotic stability of the closed-loop system through the Lyapunov stability theory. The method is used for solving the problems of low trajectory tracking precision and control signal buffeting caused by underactuation, strong coupling nonlinear characteristics and external disturbance of the four-rotor unmanned aerial vehicle. High-precision trajectory tracking under complex disturbance can be realized, and control signal buffeting can be suppressed at the same time.
Owner:YICHANG POWER SUPPLY CO OF STATE GRID HUBEI ELECTRIC POWER CO LTD

Multi-axis synchronous control system based on VPX bus

The invention discloses a multi-axis synchronous control system based on a VPX bus, and the system comprises a control platform initialization module which is used for generating a system initialization parameter set; the timing pulse synchronization module is used for forming a timing interrupt signal set; the state acquisition and error write-in module is used for acquiring an axial state, calculating an error signal and writing the error signal into the private area and the broadcast area; the distributed deviation coupling module is used for constructing a state synchronization data set; the sliding mode surface construction and state judgment module is used for constructing a non-singular fast terminal sliding mode surface; the sliding mode control output generation module is used for executing a distributed sliding mode control strategy; the optical signal conversion and data stream generation module is used for generating an optical signal control data stream; and the actuating mechanism driving module is used for converting the optical signal control data stream into an analog driving signal. According to the invention, a distributed sliding mode control and VPX high-speed synchronization mechanism is adopted, and multi-axis high-precision cooperative servo control is realized.
Owner:上海泛腾半导体技术有限公司

High-order robust control method for mobile robot in combination with weighted double-Q learning algorithm

The invention provides a high-order robust control method for a mobile robot in combination with a weighted double-Q learning algorithm. The high-order robust control method comprises the following steps: step 1, constructing an intelligent trolley motion scene including time-varying friction, variable gradient, random external disturbance and sensor noise complex uncertainty; step 2, designing a weighted double-Q learning adaptive nonlinear expansion state observer; step 3, based on the step 2, constructing a reward function including a trajectory tracking error, a disturbance estimation error and a stability constraint; 4, designing an improved super-spiral sliding mode control law based on the weighted double-Q learning adaptive nonlinear extended state observer; and 5, setting a plurality of groups of working condition simulation comparison schemes, and carrying out simulation experiment verification. According to the invention, real-time adaptive control of the mobile robot on different working conditions is realized, the trajectory tracking precision of the system is improved, and sliding-mode control buffeting is inhibited at the same time.
Owner:NANTONG UNIV

Permanent magnet synchronous motor model-free sliding mode control method based on novel reaching law

The invention discloses a permanent magnet synchronous motor model-free sliding mode control method based on a novel reaching law, belongs to the field of power electronics, and aims at solving the problems that traditional sliding mode control is large in buffeting and high in steady-state error and depends on an accurate model. According to the method, based on a model-free theory, a permanent magnet synchronous motor rotating speed ring super-local model is constructed, then a novel reaching law containing a dynamic parameter delta = e-x beta is designed, and the contradiction between buffeting suppression and quick response is solved; meanwhile, designing a novel sliding-mode observer, and estimating an unknown part g of the system to realize disturbance feed-forward compensation; and finally, a q-axis current reference value control law is obtained through derivation in combination with a sliding mode surface and a mechanical motion equation. The method can weaken the buffeting of the sliding mode, improves the anti-interference performance and the steady-state precision of the system, guarantees the finite time convergence of the state, and is suitable for the control of the permanent magnet synchronous motor in the fields of aerospace and new energy automobiles.
Owner:SHENZHEN HAOCHUAN FUTURE TECHNOLOGY CO LTD

Fire extinguisher tank body coating process parameter collaborative optimization control method and system

The invention provides a fire extinguisher tank coating process parameter collaborative optimization control method and system. The method comprises the following steps: acquiring infrared radiation data on the surface of a paint film of a fire extinguisher tank in a curing oven, and generating a temperature distribution matrix through thermal gradient analysis; quantifying temperature difference characteristics of different positions of the surface by using the matrix; a multispectral infrared thermal imager is annularly arranged in the curing oven, the optical scanning path of the multispectral infrared thermal imager is dynamically adjusted based on temperature difference characteristics, temperature abnormal points are marked, and a three-dimensional thermal field distortion atlas is constructed; analyzing temperature abnormal point distribution in the atlas, and generating a local cooling compensation vector; and converting the compensation vector into a heating unit power adjustment instruction by applying a sliding mode control mechanism, and adjusting output power to inhibit paint film deformation. Dynamic balance of the curing temperature of the paint film and temperature range compression are realized, and the deformation defect of the paint film is eliminated.
Owner:JIANGSHAN HUIHUANG FIRE TECH CO LTD

Four-spindle speed control method and system of multi-wire cutting machine for large-size ultrathin photovoltaic silicon wafers

The invention discloses a large-size ultrathin photovoltaic silicon wafer multi-wire cutting machine four-spindle speed control method and system, and the method comprises the steps: building a feature model for speed control of each spindle according to the input and output data of each spindle motor based on a feature modeling theory; performing on-line identification on parameters of each main shaft characteristic model by adopting a recursive least square method, and projecting an identification result to a preset parameter range set; a multi-wire cutting machine four-spindle discrete super-spiral speed synchronous controller is designed and used for achieving speed synchronization of all the spindles, and the synchronization error converges within finite time; a multi-wire cutting machine four-spindle discrete super-spiral speed tracking controller is designed and used for achieving speed tracking of all the spindles, and tracking errors converge within finite time; according to the method, the variable power sliding mode surface and the discrete superhelix algorithm are combined, the convergence speed of synchronization errors and tracking errors is remarkably increased, the inherent high-frequency buffeting phenomenon of traditional sliding mode control is effectively restrained, and the system response is smoother and more stable.
Owner:NANJING INST OF TECH +1

Mechanical arm actuator fault tolerance control method based on sliding mode control and neural network

The invention relates to a mechanical arm actuator fault tolerance control method based on sliding mode control and a neural network, and belongs to the field of industrial robots. The method comprises the steps that modeling is conducted on the fault condition of a mechanical arm actuator, and a fault model is established; defining a joint angle tracking error, designing a sliding mode controller, and establishing a sliding mode surface of the sliding mode controller as linear sliding; designing a mechanical arm dynamic form according to the linear sliding surface and the fault model; estimating a total dynamic item by adopting an RBFNN neural network to obtain an estimated value of a system dynamic item, and taking the estimated value as an output quantity of the RBFNN neural network; designing a control law; calculating and generating a corresponding control input quantity according to a control law by adaptively updating a fault matrix of the weight matrix; and the mechanical arm actuator controls the mechanical arm according to the control input quantity so as to achieve fault compensation. According to the method, high-precision trajectory tracking is achieved under the condition that dynamics and actuator faults are unknown, and an accurate fault model or a fault detection system is not needed.
Owner:ROKAE (BEIJING) TECH CO LTD

Fault-tolerant fuzzy formation control method for triggering predetermined time by dynamic events of multiple unmanned ships

The invention provides a fault-tolerant fuzzy formation control method for preset time triggered by dynamic events of multiple unmanned ships, and belongs to the technical field of heterogeneous unmanned system formation control. Comprising the following steps of 1, establishing a heterogeneous multi-USV kinematics and dynamics model considering input hysteresis quantization, intermittent communication topology, execution mechanism intermittent faults and external disturbance; 2, constructing an execution mechanism intermittent fault model and an input hysteresis quantizer; 3, designing a fuzzy logic system based on a minimum learning parameter strategy; 4, proposing a predetermined time robust adaptive dynamic event triggering strategy; and 5, constructing a fault-tolerant formation control law based on predetermined time sliding mode control, and processing an unknown control gain by adopting a Nussbaum function. According to the method, the anti-interference capability and the engineering applicability of the USV system in a complex marine environment are remarkably improved while the consumption of communication and computing resources is reduced.
Owner:NANTONG UNIV

Tunnel robot self-adaptive action control method and system of multi-level collaborative architecture

The invention provides a tunnel robot self-adaptive action control method and system of a multi-level collaborative architecture, and relates to the technical field of tunnel construction.The method comprises the steps that real-time three-dimensional force / torque data of an end effector of a mechanical arm is obtained, denoising and preprocessing are conducted, environment contact rigidity is calculated, and a fractional order impedance model is established; inputting the model to a sliding mode control layer to construct a self-adaptive sliding mode surface and generate a compensation torque; the compensation torque and the real-time contact force are input into a distributed model predictive control layer to dynamically optimize impedance parameters; the optimized parameters and historical data are input to a reinforcement learning layer, global optimization is carried out by using a near-end strategy optimization algorithm, and target impedance parameter correction is generated; and generating a speed control instruction based on the correction, and driving the mechanical arm to complete operation. According to the method, rapid suppression of high-frequency disturbance, accurate adjustment of impedance parameters and long-term adaptive optimization are achieved, and the flexibility, stability and operation efficiency of the mechanical arm in the dynamic tunnel environment are remarkably improved.
Owner:SHANDONG UNIV +1

Multi-unmanned ship collaborative formation method based on anti-interference adaptive sliding mode control

The invention relates to the technical field of unmanned system control, discloses an anti-interference adaptive sliding mode control multi-unmanned ship cooperative formation method, and aims to solve the problems of sudden change of initial control input, uncertain error convergence time, control buffeting and the like in existing formation control. The method comprises the following steps: firstly, estimating the state of a leader unmanned ship through a distributed state observer; then, continuously monitoring the estimation error of the observer, and when the error is smaller than a preset threshold value, judging that the observer converges and activating a preset time error correction mechanism; according to the mechanism, an original tracking error is converted into a corrected tracking error; and finally, the adaptive dynamic sliding mode controller calculates control input based on the corrected error. According to the method, the controller starting state and the observer convergence state are bound, and through the dynamic association design of the adaptive rate, it is ensured that the tracking error can be converged within the preset time, and the robustness and performance of formation control are remarkably improved.
Owner:CHAOHU UNIV

Robot joint dynamic precision control method

The invention discloses a robot joint dynamic precision control method. The method comprises the following steps that the interaction torque, the angle and the angular speed of a robot joint are obtained; based on the interaction torque, the angle and the angular velocity of the robot joint, a robot joint dynamic model containing friction and external disturbance is constructed; designing a super-spiral sliding mode control law based on the robot joint kinetic model; optimizing a sliding mode gain parameter in the super-spiral sliding mode control law based on a PPO algorithm to obtain an optimized super-spiral sliding mode control law; and controlling the dynamic precision of the robot joint based on the optimized super-spiral sliding mode control law. According to the method, the MEMS torque sensor and deep reinforcement learning are combined, and a new effective method is provided for robot joint dynamic precision control.
Owner:DALIAN VOCATIONAL & TECHNICAL COLLEGE (DALIAN OPEN UNIVERSITY)