398 results about "Smart material" patented technology

The invention relates to the technical field of agricultural product circulation management and traceablility, in particular to an agricultural product circulation traceablility method and system.The method comprises the steps that environment states such as temperature, humidity and illumination are recorded in real time through an intelligent material label and dynamically bound to a digital twinborn body; an improved isolated forest algorithm is combined to detect environment abnormity, and an abnormity detection result is generated; performing trend prediction on the complemented time sequence data by using a recurrent neural network model and a multivariable interpolation algorithm to generate future state data; and constructing a knowledge graph containing historical, current and future states based on the digital twinborn body and the prediction data, and generating a traceability path and a risk prompt. According to the invention, real-time monitoring, accurate prediction and intelligent traceability of the agricultural product circulation process are realized, the risk early warning capability and data transparency are improved, and reliable decision support is provided for consumers, producers and supervision mechanisms.

The invention discloses an intelligent material property prediction system based on a graph neural network, and the system comprises the following modules: a structure graph construction module which is used for analyzing material structure data and constructing a three-order tensor graph; the tensor graph coding module is used for inputting the third-order tensor graph into a multi-scale tensor graph neural network model to generate high-dimensional tensor node embedding representation; the asymmetric propagation module is used for constructing a directional tensor connection structure based on the high-dimensional node embedding representation and generating an updated feature representation; the model optimization module is used for inputting the updated feature representation into an improved eagle swarm search algorithm to generate optimal configuration; the multi-target prediction module is used for loading optimal configuration and performing multi-target material property prediction; and the continuous learning module is used for identifying a deviation sample based on the prediction error, feeding back and updating the multi-scale tensor graph neural network model, and writing the model into a learning buffer area. According to the invention, multi-channel graph modeling and an improved eagle swarm search algorithm are fused, and an intelligent material property prediction system is constructed.

The invention relates to an electromagnetic shielding method and shielding system for power distribution, and belongs to the technical field of electromagnetic shielding. Comprising the following steps: establishing a shielding model corresponding to the shielded room according to volume data of the shielded room; simulating and positioning electromagnetic wave conditions in the shielded room in the shielding model; selecting key detection points; constructing a phase difference matrix; shielding requirements of different waveforms in the same frequency band are distinguished, leakage path positioning based on a waveguide equation is carried out, and a core leakage area and an auxiliary protection area are divided. According to the electromagnetic shielding method and shielding system for power distribution provided by the invention, the dynamic adaptability of electromagnetic shielding and the detection capability of transient electromagnetic pulses are remarkably improved, and a multi-dimensional risk quantification and differentiation reinforcement strategy is realized. Meanwhile, intelligent materials and a dynamic optimization mechanism are adopted, the material utilization rate and the protection effect are improved, and a reinforcing effect feedback closed loop is formed.

The invention provides a vehicle body design method and system, electronic equipment and a storage medium. The method comprises the following steps: searching a design scheme set by utilizing a multi-objective optimization model building module; comparing material performance data by using an intelligent material database; simulating and adjusting a vehicle body structure by using a structure optimization design module; adjusting and optimizing the target weight by using a real-time feedback and interactive design platform; and evaluating the life cycle cost and environmental influence of different design schemes by using an environment and economy evaluation module. According to the embodiment of the invention, by integrating an optimization algorithm, intelligent material selection, a high-precision simulation technology and a comprehensive evaluation system, the problems of low efficiency, limited material compatibility and incomplete evaluation existing in a traditional multi-material mixed structure optimization method are solved in a targeted manner; the method aims at promoting the automobile light weight technology to advance to higher-level intelligentization, high efficiency and sustainability.

The invention discloses a building composite phase change material intelligent matching and optimizing method based on a large language model, and belongs to the technical field of building energy saving and intelligent material design. Basic thermophysical property data, building environment parameter data and user demand data are collected; a deep reinforcement learning technology is utilized to construct an intelligent model based on a deep Q network strategy, and generated data samples are integrated into a thermophysical property database; outputting a candidate material combination recommendation scheme by adopting a large language model; evaluating the candidate material combination recommendation scheme by using the semantic tag vector and a sorting engine to obtain a performance evaluation result; generating a performance evaluation report according to the simulation model; a multi-agent negotiation algorithm is adopted, cross-regional thermal control performance is optimized, a multi-dimensional performance comparison diagram and tuning suggestions are generated, correction information of designers is recorded, optimization is carried out, and feedback is provided in a self-adaptive mode. According to the method, the building composite phase change material combination is screened, cross-regional thermal control is optimized, adaptive schemes and suggestions are output, and the self-adaptive optimization capability of the system is improved.

The invention provides a wear early-warning intelligent material based on conductive core-shell micro-nano particles and a preparation method of the wear early-warning intelligent material, and belongs to the technical field of sensing materials. Conductive core-shell micro-nano particles are used as basic sensing function units to be doped into a polymer matrix to form a sensing layer, a three-layer structure material of a bottom residual life layer, a middle sensing layer and a surface self-lubricating wear-resistant layer is designed, and the material is prepared on a metal auxiliary surface. The surface self-lubricating wear-resistant layer is consumed in the wear process, so that the wear reaches the middle sensing layer, and the resistance of the middle sensing layer is obviously changed due to the damage of the conductive micro-nano particles as an early warning signal, so that the early warning information that the surface self-lubricating wear-resistant layer is worn out and friction pair parts need to be replaced in time is realized.

The invention provides a remote maintenance and intelligent inspection early warning management method and system for a weight meter, and relates to the technical field of intelligent measurement and monitoring, and the method comprises the steps: arranging a multi-source sensor array on a weighing mechanism to collect detection data, carrying out the three-domain conjoint analysis through an edge calculation unit, and extracting multi-dimensional coupling features; the remote monitoring platform establishes a multi-scale damage evolution prediction model based on deep learning to realize the prediction of microscopic crack propagation and macroscopic fatigue damage; an intelligent material is adopted to realize self-adaptive active compensation, and prediction-compensation-evaluation-optimization closed-loop control is formed. The operation reliability and the metering precision of the weight meter can be improved, and the service life of equipment is prolonged.

The invention discloses an integrated manufacturing and construction method for fabricated building components based on BIM and 3D printing, and relates to the field of building construction, and the integrated manufacturing and construction method comprises a model creation module, a component splitting module, a printing path planning module, a material preparation module, a printing manufacturing module, a component transportation and storage module, a site construction module, a simulation analysis module and a quality tracing module. Creating a three-dimensional model by using BIM software, and reviewing by using VR; splitting the components according to capabilities, and recording the components by using a block chain; a 3D printing path is planned, and dynamic adjustment is conducted in combination with sensing; preparing an intelligent material, and performing plasma activation pretreatment; multi-nozzle collaborative printing and holographic monitoring are realized; intelligent packaging, unmanned driving and intelligent storage are achieved; aR auxiliary construction is combined with a brain-computer interface; and through simulation analysis and quality tracing, the quality and efficiency are guaranteed. According to the method, model creation is accurate, and multi-technology optimization components are split, printed, transported and constructed; the intelligent material, the robot and the AR are used for improving the quality efficiency; simulation analysis and quality tracing guarantee reliability, and intelligentization and sustainable development of buildings are promoted.

This invention discloses a visible-light-responsive dynamically covalently cross-linked self-healing polyurethane and its preparation method, belonging to the field of self-healing materials technology. The material is prepared by reacting diisocyanate, long-chain diol, butanediol, trimethylolpropane, and a monool containing an azophenylboronic acid structure in a certain proportion at 60°C. This invention achieves visible-light-responsive self-healing of the polyurethane material by introducing a visible-light-responsive azophenylboronic acid structure into the polyurethane and utilizing the photoresponsive cis-trans isomerization of the azo structure to regulate the reversible breakage and recombination of the boron-oxygen hexacyclic ring. The visible-light-responsive dynamically covalently cross-linked self-healing polyurethane material prepared by this invention maintains high mechanical strength (16.47 MPa) while exhibiting a strength self-healing efficiency of 95.8% after 8 hours of visible light irradiation, showing broad application prospects in smart materials, anti-corrosion coatings, and other fields.

The invention relates to the technical field of aluminum-based composite materials, in particular to an intelligent temperature control self-repairing aluminum-based composite material and a preparation method of the intelligent temperature control self-repairing aluminum-based composite material. 5-15 parts of shape memory alloy microwires; 4.3 to 11.8 parts of epoxy resin prepreg containing microcapsules; wherein the epoxy resin prepreg containing microcapsules is composed of the following components: 3-8 parts of epoxy resin; 0.3 to 0.8 part of a curing agent; according to the invention, the advantages of a metal material, a composite material and an intelligent material are ingeniously combined. The aluminum alloy matrix provides excellent specific strength and specific stiffness, the shape memory alloy microwires endow the material with intelligent response capability, and the microcapsule system realizes a chemical repair function.

The invention provides a unit cell structure design method and device based on nickel-titanium shape memory alloy, and relates to the technical field of intelligent materials and structures.The method includes the steps that relevant characteristic parameters of nickel-titanium alloy are collected, a mechanical property index, a thermal stability index and a reliability index are generated, and then a phase change temperature index is obtained through comprehensive calculation; and the phase change temperature threshold is corrected, the geometrical shape and the bonding mode of the unit cell structure are determined, and the quasi-zero-stiffness curved beam, the supporting frame and the connecting part of the unit cell structure are optimally designed in combination with the corrected phase change temperature threshold. According to the method, through characteristic parameter pretreatment, mechanical property index calculation and unit cell structure geometric optimization of the nickel-titanium shape memory alloy, the excellent performance under different phase change states is achieved, and the buffering energy absorption and low-frequency vibration isolation functions of the alloy are improved.

The invention provides a thermoelectric driving fiber-based organic electrochemical synapse transistor and a preparation method and application thereof, and the thermoelectric driving fiber-based organic electrochemical synapse transistor is composed of a thermoelectric energy supply device, a fiber-based organic electrochemical synapse transistor and wires for connecting all parts. The thermoelectric energy supply device comprises a P-type thermoelectric fiber and an N-type thermoelectric material, and the fiber-based organic electrochemical synaptic transistor comprises a source-drain fiber electrode, a grid fiber electrode and an ionic gel electrolyte. According to the thermoelectric energy supply device prepared based on the Seebeck effect, conversion from heat energy of the human body to electric energy can be achieved, and stable energy supply to the synaptic transistor can be achieved. The integration of the thermoelectric energy supply device and the fiber-based organic electrochemical synaptic transistor has a wide application prospect in the fields of medical treatment, intelligent materials and wearable equipment.

A preparation method of an explosion-proof thickened wear-resistant rubber and plastic pipe belongs to the field of rubber and plastic pipes, the explosion-proof thickened wear-resistant rubber and plastic pipe comprises an inner layer, a middle layer and an outer layer, the inner layer is an ultrahigh wear-resistant composite layer, is compounded by polytetrafluoroethylene and polyimide, and is reinforced by nanoscale silicon carbide particles and graphene; the middle layer is an anti-explosion energy absorption layer, a shape memory polymer is combined with crosslinked polyethylene to form an intelligent material capable of responding to pressure change, and a high-strength aramid fiber and carbon fiber composite material is embedded into the middle layer; the outer layer is an anti-explosion impact barrier layer, nano ceramic reinforced silicone rubber is adopted, and ultra-high molecular weight polyethylene is combined with ceramic particles, so that the high pressure resistance and the explosion resistance are improved. The inner layer adopts the high-performance material and the nano reinforced filler, so that the wear resistance is remarkably improved; a self-repairing coating technology is introduced into the outer layer, automatic healing of local damage is achieved through a microcapsule structure, the service life of the product is prolonged, and the maintenance cost is reduced.

The invention discloses a rare earth metal polymer with multiple stimulation responsiveness and a preparation method thereof, two monomers SP and VTPY are mixed with methyl methacrylate (MMA) according to a certain proportion, a polymer skeleton Poly (VTPY-co-SP-co-MMA) is prepared through a free radical polymerization reaction, the polymer and Tb (Com) 3.2 H2O are further subjected to a coordination reaction according to a specific proportion, and the rare earth metal polymer with multiple stimulation responsiveness is obtained. The Poly-Tb (Coum) 3 with the stimuli-responsive discoloration characteristic is prepared by the aid of the method. The rare earth metal polymer with methyl methacrylate as a framework and rare earth terbium ions and spiropyran monomers as double emission centers is synthesized, has multiple stimulation response characteristics, provides a brand new strategy and possibility for development of rare earth-based multifunctional intelligent materials, and has wide application prospects. An innovative solution is provided for development of a thermal enhanced rare earth luminescent material, the thermosensitive fluorescence response performance of the material is greatly improved, and a new thought is provided for design of an intelligent temperature response type rare earth luminescent material.

The invention provides a supersonic-speed jet adopting supersonic-speed double wings and variant design, and belongs to the field of novel supersonic-speed civil aircrafts, a large-area truncated delta wing with edgings on the inner side is adopted, an engine nacelle is arranged on the upper portion of the outer end of the large-area truncated delta wing, and the supersonic-speed double wings are installed on the outer side of the nacelle; the front edges and the rear edges of the upper wing and the lower wing of the supersonic double-wing adopt intelligent materials to realize a variant function; the empennage can rotate around a mounting shaft in the longitudinal direction of the airplane to change the inclination angle; the front edge and the rear edge of the supersonic double-wing are deformed, and the inclination angle of the empennage is changed to jointly form a supersonic state and a subsonic state. The problem that the conventional double-wing non-design-point performance is poor is solved, high aerodynamic performance can be achieved within the flight envelope range, and it is guaranteed that an aircraft achieves ideal supersonic speed environment-friendly performance such as acoustic explosion and noise and aerodynamic efficiency.

The invention relates to an intelligent composite material and a preparation and damage monitoring method thereof, belongs to the technical field of intelligent materials and structural health monitoring, and solves one of the problems that in the prior art, an intelligent composite material detection device is complex, a built-in sensor is prone to damage and failure, signal analysis is difficult, and the performance of a main body material is affected. The invention discloses an intelligent composite material embedded with a sensing network, the main body of the intelligent composite material is a fiber reinforced resin matrix composite material laminated plate structure, and the intelligent composite material is composed of a resin matrix, a fiber reinforcement body, conductive sensing fibers and electrodes; the fiber reinforcement is composed of multiple layers of prepregs, the conductive sensing fibers are clamped and laid between the prepreg layers in an orthogonal network mode, and the two ends of each conductive sensing fiber are exposed out of the end face of the intelligent composite material. According to the material, on the premise that the performance of a main body material is basically unchanged, real-time monitoring of internal damage, especially ablation damage, of the composite material is achieved, the material structure is simple, monitoring signals are easy to analyze, and durability is good.

The invention relates to a flexible hinge micro-displacement amplification mechanism, and relates to the field of intelligent material micro-driving. The device specifically comprises an input rod, a lever amplification structure, a flexible hinge and an output rod. By means of the lever amplification principle, amplification of infinitesimal displacement is achieved through elastic deformation of the flexible hinge and a two-stage lever amplification mechanism. The micro-displacement amplification mechanism not only eliminates parasitic displacement, but also has a high amplification coefficient and high amplification efficiency, and is suitable for the field of micro-driving of intelligent materials such as micro-electromechanical systems (MEMS), intelligent robots and medical instruments.

The invention provides a semi-active tuned mass damper based on an intelligent material. The semi-active tuned mass damper comprises a passive control part, an intelligent control part, a first-stage vibration reduction part, a second-stage vibration reduction part and a health monitoring part, and the intelligent control part controls the first-stage vibration reduction part, the second-stage vibration reduction part and the health monitoring part in a unified mode; according to the tuned mass damper, bidirectional vibration control of a building structure can be achieved, the vibration response of the tuned mass damper and a main structure is monitored in real time, and semi-active control over an intelligent material is started after data are collected and analyzed through a computer control system.

The invention relates to self-curing keratin 3D printing ink integrated with shear activation microcapsules and a preparation method of the self-curing keratin 3D printing ink, and belongs to the technical field of biological 3D printing and intelligent materials.The preparation method comprises the steps that high-molecular-weight soluble keratin powder is dissolved in a biocompatible water-based medium with the pH being 6.5-8.5, and after even mixing and defoaming are conducted, a keratin base solution is obtained; wrapping the core material in a corresponding shell to obtain a microcapsule with the average particle size of 1-10 microns; under the stirring condition, the microcapsules are evenly dispersed into a keratin base solution at the temperature of 0-8 DEG C until a uniform suspension system is formed, and the self-curing keratin 3D printing ink integrating the shear activation microcapsules is obtained. And the curing process of the ink is internalized in the printing behavior, so that the printing process is simplified, and the equipment cost and the operation difficulty are reduced. The cross-linking agent is effectively isolated, so that the ink can be stably stored for several weeks before printing without gelling, and the problem that double-component ink must be immediately used after being mixed is solved.

Provided herein are mass focusing shaped charges and related methods useful for disrupting targets in either underwater or on land. The mass focusing shaped charges comprise an explosives shell having an explosives shell surface, wherein at least a portion is curved and defines an inner volume configured to contain an inner volume of fluid or a metal liner. A distal body is comprising a SMART material is positioned between the inner volume of fluid and a to-be-disrupted target. A conformable layer of explosives conforms to at least a portion of a surface of the explosives shell, the conformable layer of explosives configured for explosive initiation by a detonator. Upon explosive initiation the inner volume of fluid or metal liner is forcefully ejected to form a fluid or metal jet in a direction through the distal body and toward the target.

The invention provides an intelligent response nano-film and application thereof in waste lead-acid storage battery electrolyte recycling, and relates to the technical field of waste lead-acid storage battery electrolyte recycling, the intelligent response nano-film breaks through performance limitation of an existing film system through a specific intelligent material structure, and when heavy metal ions such as Pb < 2 + >, Fe < 3 + > and Cu < 2 + > enter the film, the intelligent response nano-film can be recycled, and the service life of the intelligent response nano-film is prolonged. The metal ligands are combined with metal ions to cause local shrinkage or closing of pore channels, so that the active defense and intelligent blocking effects of blocking heavy metals are achieved; and when SO4 < 2-> and H < + > pass through the channel, membrane pore channels are kept in an open state, so that rapid acid flux (namely the amount of substance passing through the membrane layer in unit time) of sulfuric acid is realized. The intelligent response nano film has a programmable aperture of a polymer liquid crystal network and an intelligent response valve mechanism of metal, and selective separation of heavy metal and sulfuric acid is realized by stimulating reversible adjustment of an induced film structure.

The invention belongs to the field of intelligent materials, and discloses a nematic phase liquid crystal elastomer fiber and a method for optimizing the thermal shrinkage performance of the nematic phase liquid crystal elastomer fiber. According to the method, the mass ratio of a cross-linking agent pentaerythritol tetra (3-mercaptopropionate) (PETMP) to a chain extender 2, 2 '-[1, 2-ethanediyl bis (oxygen)] bis (ethanethiol) (EDDET) in an LCE spinning solution is accurately controlled through a wet spinning technology, and drafting and heat treatment processes are combined, so that the LCE fiber with adjustable and controllable heat shrinkage performance and mechanical performance is prepared. The invention aims to overcome the limitations of low response speed, low shrinkage rate, insufficient environmental stability and the like of the existing LCE fiber. The reversible thermal shrinkage rate of the fiber can reach up to 35%, the maximum shrinkage deformation can be completed within 2 seconds at the soonest at the temperature of 80 DEG C, and the maximum tensile strength can reach 170 MPa. And the catalyst has excellent oxidation stability (the mass retention rate is about 97%), and can maintain efficient thermal response in a water environment. And a new way is provided for development of high-performance intelligent materials.

The invention provides an imidazo [1, 2-alpha] pyridine stimuli-responsive molecule with a D-A twisted structure as well as a preparation method and application of the imidazo [1, 2-alpha] pyridine stimuli-responsive molecule, belongs to the technical field of intelligent materials, and is used for solving the technical problem that intelligent materials for developing stimuli-responsive molecules for data encryption and information anti-counterfeiting are insufficient. The preparation method of the compounds N1 and N3 comprises the following steps: 2-aminopyridine and 2, 4 '-dibromoacetophenone are subjected to an amphiphilic reaction to obtain a compound a; the compound a and POCl3 are subjected to a Vilsmeier-Haack reaction, and a compound b is obtained; carrying out Suzuki coupling reaction on the compound a or the compound b and triphenylamine boric acid to obtain a compound N1 or N2; the compound N2 and malononitrile are subjected to a Knovenagel condensation reaction, and a compound N3 is obtained. The compound prepared in the invention has good fluorescence emission capability in a solution and a solid state and a grinding solvent acid / alkali stimulated fluorescence discoloration behavior, and can realize good data encryption and information anti-counterfeiting.

The invention relates to the technical field of intelligent materials, and discloses a p-MXene conductive ink and BC reinforced polymer composite film and a preparation method and application thereof.The composite film comprises MXene and bacterial cellulose, the surface of the MXene is coated with waterborne polydopamine, waterborne polyurethane is embedded in the bacterial cellulose, and the surface of the MXene is coated with waterborne polyurethane; hydroxyl groups in the water-based polydopamine and amino groups in the water-based polyurethane form hydrogen bonds to connect the MXene with the bacterial cellulose. The composite film obtained by the invention has excellent mechanical properties and electrical properties, and also has comprehensive properties such as electromagnetic shielding and stress-strain sensing.

The invention provides a shear thickening damper applied to an automobile suspension and a control method of the shear thickening damper, and relates to the technical field of suspension dampers, the shear thickening damper comprises a suspension mechanism, the suspension mechanism comprises a rigid suspension, and a steering adjuster is arranged on the rigid suspension. Through collaborative design of the suspension mechanism, the damping mechanism and the protection mechanism, the comprehensive performance of the automobile suspension system is remarkably improved, the steering adjustor and the reinforcing arc frame dynamically adapt to different steering working conditions and road surface loads, the supporting stability is ensured, the power transmission efficiency is optimized through efficient meshing transmission of the crown gear rod and the gear rotating disc, and the service life of the automobile suspension system is prolonged. The tire grounding stability is enhanced through the adjustable gap design of the connecting ball rod, the damping coefficient and the pre-tightening force of the damping mechanism are adjusted in a self-adaptive mode through multi-stage buffering in combination with real-time sensor feedback, road surface impact is effectively absorbed, vibration transmission is reduced, and the protection mechanism is made of intelligent materials and a collapsible framework structure; and during collision, energy is absorbed according to a preset mode in a deformation grading manner, so that the passive safety is greatly improved.

Provided herein are mass focusing shaped charges and related methods useful for disrupting targets in either underwater or on land. The mass focusing shaped charges comprise an explosives shell having an explosives shell surface, wherein at least a portion is curved and defines an inner volume configured to contain an inner volume of fluid or a metal liner. A distal body is comprising a SMART material is positioned between the inner volume of fluid and a to-be-disrupted target. A conformable layer of explosives conforms to at least a portion of a surface of the explosives shell, the conformable layer of explosives configured for explosive initiation by a detonator. Upon explosive initiation the inner volume of fluid or metal liner is forcefully ejected to form a fluid or metal jet in a direction through the distal body and toward the target.

The present invention provides a semi-active tuned mass damper based on intelligent materials, comprising: a passive control part, an intelligent control part, a first-stage vibration reduction part, a second-stage vibration reduction part and a health monitoring part, wherein the intelligent control part uniformly controls the first-stage vibration reduction part, the second-stage vibration reduction part and the health monitoring part; the tuned mass damper of the present invention can achieve two-way vibration control of a building structure, real-time monitor the vibration responses of the tuned mass damper and the main structure, and start the semi-active control of the intelligent materials after the computer control system collects and analyzes data.

The invention discloses a reinforcement learning-based micro spring washer production parameter adaptive adjustment method, which comprises the following steps of S1, collecting and preprocessing multi-source data in a micro spring washer production process to form a multi-dimensional data set; s2, constructing a virtual simulation environment, and generating a preliminary adjustment strategy by using a reinforcement learning algorithm; s3, optimizing production parameters through a layered progressive self-adaptive reinforcement learning model; s4, monitoring and dynamically adjusting production parameters in real time by utilizing a sensing technology of an intelligent material; s5, monitoring and adjusting the topological structure of the system through a self-repairing topological network mechanism; s6, a self-evolution bifurcation control mechanism is applied, and key parameters are monitored and adjusted in real time; s7, predicting key parameters and product quality in real time by using a quantum cascade model prediction technology, and performing optimization adjustment; and S8, applying the optimized production parameters to actual production, and performing continuous verification and adjustment through a real-time feedback mechanism. According to the invention, self-adaptive adjustment and stable operation in the production process are realized.

The invention provides a flexible intelligent material driver output constraint control method considering butterfly-shaped hysteresis input for an output constraint flexible intelligent material driving system with butterfly-shaped hysteresis input, aims to realize high-precision control in different application scenes, and comprises the following steps of: on the basis of a traditional KP model, selecting a KP model; according to the invention, a new butterfly-shaped KP (Butterfly Kranoselskii-Pokrovskii, BKP) kernel is obtained through derivation, and the KKP (Butterfly Kranoselskii-Pokrovskii, BKP) kernel is used as a kernel of the KKP. A new BKP model is established to describe butterfly hysteresis in the flexible intelligent material driver by performing weighted stacking on the BKP core; an unknown time delay function in the system is approached by using a radial basis function neural network and a finite coverage lemma, and the time delay problem of the control system is solved; a high-gain K-filter is designed to overcome the problem that the state in the system cannot be measured, and the problem of output constraint control of the butterfly hysteresis system is solved by combining a barrier Lyapunov function and an adaptive dynamic surface output feedback control algorithm; a butterfly pseudo-inverse algorithm is designed, the requirement for solving a hysteresis inverse model is avoided, and butterfly hysteresis nonlinearity is weakened to a great extent. Compared with a traditional control scheme, the method has a better effect on tracking performance and tracking errors, the tracking errors are effectively reduced, the control precision is remarkably improved, and precise control over the intelligent material driving system is achieved.

A wearable interface system for controlling robotic systems is provided. The wearable interface is configured for bi-directional interaction between a human user (wearer) and a robotic platform. The system comprises a textile-based substrate incorporating smart materials, conductive threads, and a plurality of integrated sensors operable to acquire real-time physiological and biomechanical signals. One or more embedded microcontrollers operable to filter and interpret incoming signals, predict user intent, and generate control instructions for one or more robotic systems. The system may further include a bi-directional feedback mechanism comprising haptic actuators and smart material-based stiffness modulation components configured to respond to incoming signals from the robotic system and deliver tactile or structural cues to the user in real-time. The wearable interface may be integrated into a variety of garments.