62 results about "Shape memory alloy actuators" patented technology

A first and a second locking element are movable to an extended position and a retracted position. A first actuator assembly is supported by a first end of a printed circuit board (PCB) and has a first actuator body connected to the first locking element. A second actuator assembly is supported by a second end of the PCB and has a second actuator connected to the second locking element. Each actuator body is in electrical contact with an electrical contact pad on a first side of the PCB and with an electrical contact pad on a second side of the PCB. The first and second FGL actuators extend between the first and second actuator bodies. Each actuator moves the corresponding first or second locking element to the retracted position in response to an electrical input signal.

The invention provides a magnetic control shape memory alloy actuator neural network hysteresis modeling method under complex physical field coupling, and belongs to the technical field of control. According to the method, firstly, a multi-field coupling NARMAX model is constructed to describe hysteresis nonlinearity of a magnetic control shape memory alloy actuator under complex physical field coupling; an unknown nonlinear function of a multi-field coupling NARMAX model is constructed by using a long short-term memory neural network, and a multi-field coupling hysteresis model capable of updating model parameters online and adapting to dynamic hysteresis characteristics under complex physical field coupling is established. According to the hysteresis modeling method fusing the multi-physical field information, the problem that most of existing hysteresis models only describe the hysteresis behavior of a magnetic control shape memory alloy actuator and neglect the influence of a complex physical field coupling effect on the hysteresis behavior can be solved; and a theoretical basis and technical support are provided for design optimization of a magnetic control shape memory alloy actuator control system.

The invention discloses a two-dimensional adaptive iterative learning control method of a magnetic control shape memory alloy actuator, and belongs to the technical field of tracking control of the magnetic control shape memory alloy actuator. According to the method, on-line data of a magnetic control shape memory alloy actuator is directly utilized for data driving modeling, a mathematical model of a system does not need to be known in advance, the system is described as a tight-format dynamic linearization model, and a self-adaptive controller is designed. And then, in order to effectively utilize information on an iteration axis, combining an adaptive controller on a time axis with classical P-type iteration learning control, and designing a two-dimensional adaptive iteration learning controller. According to the controller, the control law is continuously updated on the iteration axis, the defect of open-loop control of the one-dimensional iteration learning controller on the time axis is overcome, and disturbance on the time axis is effectively dealt with.

A shape memory alloy actuator assembly (1) comprising a first part (4), a second part (20), at least one SMA element (80) and a controller. The second part is movable relative to the first part across a first surface. The at least one SMA element is arranged, on actuation, to drive movement of the second part relative to the first part. The assembly is arranged such that the second part and the first surface are biased against each other with a normal force, thereby generating a static frictional force that constrains the movement of the second part relative to the first part when the at least one SMA element is not actuated. The controller is configured to control actuation of the at least one SMA element. Specifically, during a power-on sequence of the at least one SMA element, the controller causes an increase of a power supplied to the at least one SMA element gradually from zero to an operating power, and / or during a power-off sequence of the at least one SMA element, the controller causes a decrease of a power supplied to the at least one SMA element gradually from an operating power to zero.

The present application belongs to the technical field of robot control, and particularly relates to an uncertainty and disturbance estimation control method for a shape memory alloy driver. The method of the present application controls the shape memory alloy driver by using a control signal as follows: the present application combines a shape memory alloy rate-dependent Prandtl-Ishlinskii model with an uncertainty and disturbance estimation control method to realize tracking control of the shape memory alloy driver, improve robust performance, and has a good application prospect.

The present invention discloses a shape memory alloy driver, which is characterized in that it comprises an SMA driving structure, a power supply, a liquid storage tank, an electromagnetic valve structure, a control core and a spray structure; the power supply is electrically connected to the SMA driving structure; the liquid storage tank is filled with a refrigerant liquid; the electromagnetic valve structure is connected to the liquid outlet of the liquid storage tank through a pipeline; the control core is electrically connected to the power supply and the electromagnetic valve structure; the spray structure is connected to the electromagnetic valve structure and is used to spray a cooling spray onto the SMA driving structure; a control core is provided to control the power supply and the electromagnetic valve structure, the power supply is used to energize the SMA driving structure, the electromagnetic valve structure drives the refrigerant liquid in the liquid storage tank to be transported to the spray structure, the refrigerant liquid is atomized by the spray structure to form a cooling spray, and is sprayed onto the surface of the SMA driving structure to cool it, so that the cooling effect is significantly enhanced compared with the traditional cooling method, and the response speed is improved.

An actuator assembly comprises a static part and a movable part. A helical bearing arrangement supporting the movable part on the static part guides helical movement of the movable part with respect to the static part around a helical axis. One or more actuators, that are not shape memory alloy actuators, are arranged to drive movement of the movable part around the helical axis, which thereby includes a component of translational movement along the helical axis. The helical movement increases the force within the actuator assembly allowing actuation of heavier movable parts, and may improve posture.

An electronic device may include a lens module with a tunable lens. The tunable lens may include a flexible lens element and a lens shaping structure attached to the flexible lens element. The lens shaping structure may include a plurality of tabs that are each coupled to a respective actuator. The actuator may move the tab up and down along an axis of displacement. The actuator may have a structure that is configured to rotate about a pivot structure. At least one shape memory alloy (SMA) wire may be attached to an upper portion of the structure and at least one SMA wire may be attached to a lower portion of the structure. The SMA wires may be controlled to selectively rotate the structure, thereby controlling the position of a tab along the axis of displacement.

A shape memory alloy SMA actuator comprises a first part 4 with a first surface 4f, a second part 20 moveable relative to the first part 4 across the first surface 4f, and one or more SMA elements 80a

A shape memory alloy actuator assembly comprising: a support member wherein a first plane is defined relative to the support member; a movable member movable relative to the support member in at least two different non-parallel directions within the first plane; more than one unit of shape memory alloy wire, each unit connected between the movable member and the support member so as to be capable of being driven to produce motion in at least two directions without applying any net torque to the movable member within the first plane; wherein at least one of the units comprises a series of two or more lengths of shape memory alloy wire, the shape memory alloy wire comprising a first section and a second section, wherein the first section and the second section are oriented at a non-zero angle relative to each other and are coupled to each other such that when the unit is driven, contraction of the first section causes displacement of the second section, which provides a contribution to the motion of the movable member in addition to the contribution provided by contraction of the second section.

The invention discloses a modularized edible mushroom square cabin rapid deployment device and a thermodynamic optimization system thereof, and relates to the field of edible mushroom industrial cultivation, and the modularized edible mushroom square cabin rapid deployment device comprises a phase change sandwich plate, a mortise and tenon joint-hydraulic connection mechanism and a topological optimization support skeleton; the topological optimization supporting framework forms a main body bearing framework of the square cabin; the phase change sandwich plate is laid and fixed on a frame formed by the topological optimization supporting framework to form an enclosure structure of the square cabin and is used for regulating and controlling a thermal environment in the cabin; the multiple phase change sandwich plates are in butt joint and locked through the mortise and tenon joint-hydraulic connecting mechanisms, and rapid airtight assembly of the cabin body module is formed. Through the synergistic effect of the outer-layer aluminum alloy, the middle gradient phase-change material layer and the inner-layer aerogel, intelligent adjustment of the temperature in the cabin is achieved, and the dynamic thermal bridge blocking system achieves dynamic thermal bridge blocking through linkage cooperation of a shape memory alloy actuator, a ceramic thermal insulation insertion piece and an infrared thermal imaging module. Accurate identification and dynamic blocking of a thermal bridge passage are realized.

SMA actuators and related methods are described. One embodiment of an actuator includes a base; a plurality of buckle arms; and at least a first shape memory alloy wire coupled with a pair of buckle arms of the plurality of buckle arms. Another embodiment of an actuator includes a base and at least one bimorph actuator including a shape memory alloy material. The bimorph actuator attached to the base.

The invention relates in a first aspect to an actuator sub-assembly comprising a shape memory alloy wire (15), a biasing spring (16) and a magnetically responsive element (17, 17') to couple the motion of a first movable element (13) and a second movable element (14) having a terminal (18), and in a second aspect to a fluid valve comprising a plunger, the terminal portion of which controls its opening and closing, and wherein the plunger motion is controlled by the action of a shape memory alloy wire, a biasing element and a magnetically responsive element.

A shape memory alloy (SMA) actuator (100) may include a main body (200) defining an axis (212) and a shape memory alloy (SMA) wire (104) coupled to the main body in the form of a spiral about the axis. The SMA wire is configured to change between an extended state and a contracted state in response to heat being applied to the SMA wire. The main body rotates about the axis in a first direction when the SMA wire is changing from the extended state to the contracted state and in a second direction opposite the first direction when the SMA wire is changing from the contracted state to the extended state.

The invention discloses a finite iteration learning control method based on a neural network, which is used for solving the technical problem of realizing accurate tracking control of a magnetic control shape memory alloy actuator within a finite iteration number. The method comprises the following steps: 1) utilizing a neural network to approach a nonlinear function in a control law, improving the adaptability and learning ability of a controller, and realizing accurate tracking control of a magnetic control shape memory alloy actuator in finite iteration; and 2) based on a compression mapping principle and a Lipschitz condition, deriving a mathematical relationship between a tracking error and an upper bound of the number of iterations, giving a sufficient condition for system convergence, and providing a theoretical basis for controller design. Compared with the prior art, the method has better adaptability and convergence speed, is particularly suitable for precision control in a complex industrial process, and has a wide application prospect.

The present embodiments relate to a rotational actuator using a set of shape memory alloy (SMA) actuators to cause rotational motion of an actuator body. The actuator body can include a fixed portion configured to remain static and a moving portion configured to rotate. A set of shape memory alloy (SMA) actuators can be connected to the actuator body. Each SMA actuator can include a fixed end fixed to the fixed portion of the actuator body and a free end in contact to the moving portion. Each SMA actuator can include a SMA material disposed between the fixed end and the free end. Each SMA actuator can, in response to an electrical current, extend or retract to enable rotation of the moving portion in a clockwise or a counter-clockwise direction.

SMA actuators and related methods are described. One embodiment of an actuator includes a base; a plurality of buckle arms; and at least a first shape memory alloy wire coupled with a pair of buckle arms of the plurality of buckle arms. Another embodiment of an actuator includes a base and at least one bimorph actuator including a shape memory alloy material. The bimorph actuator attached to the base.

A shape memory alloy (SMA) actuator includes a lever pivotable about a pivot axis between a first position and a second position, a mount coupled to the lever and radially offset from the pivot axis, and an actuator coupled to the lever and moveable between an extended position corresponding to the first position of the lever and a retracted position corresponding to the second position of the lever. The SMA actuator also includes a shape memory alloy (SMA) element connected to the mount. In response to heat being applied to the SMA element, the SMA element changes between an extended state and a contracted state. The lever is configured to pivot from the first position corresponding to the SMA element being in the contracted state to the second position corresponding to the SMA element being in the extended state.

A shape memory actuator includes: a single shape memory alloy; a shape memory effect (SME) region of the alloy configured for actuation; a pseudoelastic (PE) region of the alloy configured as a sensor capable of position sensing; and a control system configured to control the actuator by controlling a current passing through at least the SME region based on sensor results from the PE region. A method of controlling a shape memory actuator includes: applying a predetermined current through the actuator; measuring a first resistance of the SME region; measuring a second resistance of the PE region; calculating an estimated position of the actuator based on the first and second resistances; and adapting the current applied to the actuator based on the estimated position. A method of manufacturing a shape memory actuator includes: laser processing; thermomechanical processing; and training the shape memory alloy.

The application discloses a kind of shape memory alloy driver's modeling and closed loop displacement control method, this method with inverse hysteresis feedforward compensation and SMC-PID feedback displacement control method as core, the positive model of shape memory alloy driver is established, and inverse model is obtained by inversion, adaptive SMC-PID feedback controller is designed, the positive model, inverse model and SMC-PID feedback controller are combined, and the control system for the closed loop displacement control of shape memory alloy driver is constructed;The control system designed is modeled and simulated test using Matlab / Simulink software, by selecting different tracking signals, observe the closed loop displacement control effect of shape memory alloy driver.Shape memory alloy driver's modeling and closed loop displacement control method of the application has excellent control effect under shape memory alloy driver back and forth, continuous heating deformation, continuous cooling deformation and other various motion conditions, with high tracking accuracy, small delay, realizes the strong robustness of system hysteresis and parameter uncertainty.

The present invention discloses a cooling method and device for a shape memory alloy actuator. Liquid metal is placed directly below the heat dissipation part of the SMA actuator. An electric field force is applied to the liquid metal, causing the liquid metal to generate a surface tension gradient from bottom to top, thereby causing the surface of the liquid metal to overcome gravity and gather upward and contact the part of the SMA actuator to be dissipated. The electric field force in the liquid metal is eliminated, causing the surface of the liquid metal to return to its original state and separate from the part of the SMA actuator that completes heat dissipation. The liquid metal is used as a cooling medium to quickly absorb and conduct heat generated by the SMA actuator. A surface tension gradient is formed by applying an electric field force to the liquid metal, triggering an electric reduction effect, causing the liquid metal to become spherical under the action of the surface tension difference and contact the surface of the SMA actuator, thereby enhancing the heat transfer efficiency.

SMA actuators and related methods are described. One embodiment of an actuator includes a base; a plurality of buckle arms; and at least a first shape memory alloy wire coupled with a pair of buckle arms of the plurality of buckle arms. Another embodiment of an actuator includes a base and at least one bimorph actuator including a shape memory alloy material. The bimorph actuator attached to the base.

This disclosure provides a self-locking structure for a focusing motor and a camera, comprising: a base; a carrier, the carrier being movably disposed on the base along an optical axis for supporting a lens; a locking member, the locking member being movably connected to the base and configured to move between a locked position and an unlocked position, wherein in the locked position the locking member abuts against and locks the carrier, and in the unlocked position the locking member releases the carrier, allowing the carrier to move along the optical axis; an elastic member, the elastic member being disposed on the base and configured to apply a force to the locking member, causing the locking member to always have a tendency to move towards the locked position; and a shape memory alloy actuator, the shape memory alloy actuator being connected to the locking member and configured to overcome the force of the elastic member when activated, driving the locking member to move to the unlocked position.

The application discloses a shape memory alloy actuator, comprising: a shell, a first position and a second position are arranged in the shell; a moving piece, which is movably arranged in the shell and moves between the first position and the second position; a first elastic piece, which is arranged in the shell and abuts one side of the moving piece; a second elastic piece, which is arranged in the shell and abuts the other side of the moving piece; the second elastic piece is a shape memory alloy; in the case that the second elastic piece is not affected by temperature, the first elastic piece and the second elastic piece act on the moving piece, so that the moving piece is located at the first position; in the case that the second elastic piece is deformed due to temperature influence, the first elastic piece acts on the moving piece, so that the moving piece moves from the first position to the second position, the second elastic piece is separated from the moving piece, and the second elastic piece is temporarily not affected by temperature. The shape memory alloy actuator has self-protection and self-recovery functions, shape memory alloy damage is avoided, the actuator structure is simple, cost is saved, and the volume is miniaturized.

Shape memory alloy actuator assemblies are disclosed. An actuator assembly comprises a first part (2002), a first support means (2003) and a platform (2004). The first support means supports the platform on the first part. The platform is tiltable about a first axis and / or a second axis (2011, 2012) that are non-parallel and perpendicular to a main axis (2009) through the actuator assembly. The actuator assembly further comprises a second support means (2005) and a second part (2006). The second support means supports the second part on the platform such that the second part tilts with the platform. The actuator assembly further comprises a drive means (2007; Fig. 22) comprising four segments of shape memory alloy wire (20101, 20102, 20103, 20104). The four segments of shape memory alloy wire are connected between the second part and the first part of the actuator assembly. The first support means is configured to guide tilting of the platform about the first axis and / or the second axis and to constrain rotation of the platform about the main axis. The platform defines a first plane (2500; Fig. 25) that is tiltable and has a normal (2501; Fig. 25) such that tilting the platform tilts the normal away from the main axis. The second support means is configured to constrain tilting of the second part relative to the platform, to constrain lateral movement of the second part perpendicular to the normal, and to guide axial movement of the second part relative to the platform along the normal.

This invention relates to the field of automatic control and processing technology, specifically to an adaptive control method for crushing construction solid waste. The method includes real-time acquisition of particle size, rebar ratio, moisture content, strength, and feed rate via a multi-source sensor array; generation of operating condition vectors via a cross-modal fusion network; and training of a convolutional neural network to output rotor speed, cavity clearance, hydraulic pressure, screen aperture size, and shape memory alloy deformation. This application also relates to adaptive control equipment for crushing construction solid waste. The controller of this application synchronously drives a variable frequency motor, hydraulic cylinder, variable screen, and Ni-Ti shape memory alloy actuator, completing reversible geometric adjustment within 10 seconds. This enables rapid switching between coarse and fine crushing, incremental updates via online particle size detection and energy consumption metering feedback network, forming a perception-decision-execution closed loop. This significantly reduces energy consumption, substantially improves particle size qualification rate, extends liner life, reduces the need for manual intervention, enhances overall operational stability and intelligence, and reduces dust emissions.

An electronic device may include a lens module with a tunable lens. The tunable lens may include a flexible lens element and a lens shaping structure attached to the flexible lens element. The lens shaping structure may include a plurality of tabs that are each coupled to a respective actuator. The actuator may move the tab up and down along an axis of displacement. The actuator may have a structure that is configured to rotate about a pivot structure. At least one shape memory alloy (SMA) wire may be attached to an upper portion of the structure and at least one SMA wire may be attached to a lower portion of the structure. The SMA wires may be controlled to selectively rotate the structure, thereby controlling the position of a tab along the axis of displacement.

SMA actuators and related methods are described. One embodiment of an actuator includes a base; a plurality of buckle arms; and at least a first shape memory alloy wire coupled with a pair of buckle arms of the plurality of buckle arms. Another embodiment of an actuator includes a base and at least one bimorph actuator including a shape memory alloy material. The bimorph actuator is attached to the base.

The present invention is an integrated energy storage - structure - intelligent self - repair system for an offshore wind power monopile foundation, which includes a monopile foundation and a concrete disk - shaped expansion structure; an inverter cabin, a honeycomb battery cabin and a counterweight cabin are arranged inside the monopile foundation; a plurality of regions are evenly divided in the circumferential direction, and seawater batteries, fiber Bragg grating strain sensors, piezoelectric actuators, shape memory alloy actuators and broadband acoustic emission sensors are installed in each region; the truss of the honeycomb battery cabin in each region is connected to the inner wall of the monopile foundation through prestressed steel strands and anchors, and resistance wires are arranged on the surface of the shape memory alloy actuator; bacillus microcapsules are incorporated into the concrete; impedance probes, self - priming pumps and automatic control valves are installed on the seawater battery; an AI architecture for outputting three - dimensional fault probabilities is integrated in the inverter cabin; corresponding - dimension fault self - repair in the corresponding region is triggered according to the probability threshold. The closed - loop management of perception - prediction - repair for the whole life cycle of the offshore wind turbine is realized.