280results about How to "Achieving Adaptive Control" patented technology

The invention relates to the field of exercise equipment, in particular to an intelligent running machine. The intelligent running machine comprises a running machine body, a tablet personal computer which is arranged on the running machine body, a flexible array pressure sensor which is arranged on the running machine body, a control module which is arranged on the tablet personal computer, a data acquisition module and a motor drive module. An internet function is integrated in the control module of the running machine, and each running machine uploads a relationship model and a training program which are established according to individual characteristics through network to a server for storage so as to realize identity authentication. Multiple kinds of training modes and virtual scenes are integrated in the control module; the training program which meets an exerciser is customized in a personalized way; foot pressure distribution information of the exerciser, which is detected bythe flexible array pressure sensor, and the real-time heart rate which is sent by a heart rate monitoring module are received in real time; running speed, gradient and the like can be adjusted automatically; safety of the exerciser can be guaranteed; and training modes can be enriched and training efficiency can be improved.

The invention relates to the technical field of traffic control and artificial intelligence and provides a traffic signal self-adaptive control method based on deep reinforcement learning. The method includes the following steps that 1, a traffic signal control agent, a state space S, a motion space A and a return function r are defined; 2, a deep neutral network is pre-trained; 3, the neutral network is trained through a deep reinforcement learning method; 4, traffic signal control is carried out according to the trained deep neutral network. By preprocessing traffic data acquired by magnetic induction, video, an RFID, vehicle internet and the like, low-layer expression of the traffic state containing vehicle position information is obtained; then the traffic state is perceived through a multilayer perceptron of deep learning, and high-layer abstract features of the current traffic state are obtained; on the basis, a proper timing plan is selected according to the high-layer abstract features of the current traffic state through the decision making capacity of reinforcement learning, self-adaptive control of traffic signals is achieved, the vehicle travel time is shortened accordingly, and safe, smooth, orderly and efficient operation of traffic is guaranteed.

The invention discloses an air conditioner and a control method thereof. The control method comprises the following steps: after the air conditioner is powered on, the air conditioner is in communication connection with outdoor units of other air conditioners with the same communication protocol as the air conditioner within a coverage area through an outdoor unit; the air conditioner obtains the parameter information of the other air conditioners within the coverage area through the outdoor unit; the air conditioner generates an own control parameter according to the parameter information of the other air conditioners within the coverage area; the air conditioner controls the air conditioner according to the control parameter. According to the control method of the air conditioner, disclosed by the embodiment of the invention, the air conditioner is in communication connection with the other air conditioners within the coverage area through the outdoor unit, obtains the parameter information of the other air conditioners through a communications network, and generates the own control parameter according to the parameter information of the other air conditioners so as to control the air conditioner, so that the adaptive control of the air conditioner is realized, the intervention of a user for the control parameter of the air conditioner is reduced, and the use experience of users is improved.

The invention relates to a road surface self-adaptive driving anti-skid control method and system of a distributed driving electric automobile and belongs to the technical field of vehicle control. According to the road surface self-adaptive driving anti-skid control method of the distributed driving electric automobile, by estimating a current road surface peak adhesion coefficient in real time,a current road surface optimal slip rate is obtained according to a corresponding linear relation between the current road surface peak adhesion coefficient and the current road surface optimal slip rate; by combining a current wheel center speed, a current wheel reference wheel speed is determined; a difference between an actual wheel speed and the reference wheel speed is calculated; according to the wheel speed difference, the moment of a wheel, which slips in a driving state, is controlled by using a sliding mode variable structure controller; and therefore, it is guaranteed that the wheelslip rate is controlled to the current road surface optimal slip rate. According to the road surface self-adaptive driving anti-skid control method of the distributed driving electric automobile, thewheel slip rate is controlled to the current road surface optimal slip rate to realize self-adaptive control of anti-skid driving of the wheel.

The invention relates to an unmanned aerial vehicle (UAV) autonomous navigation method and system capable of being applied to a large-scale unfamiliar complex environment. The method includes the steps of obtaining the state of a UAV by using sensing equipment and positioning equipment of the UAV; then determining a control vector of the UAV; determining a revenue function according to the state of the UAV and the environment in which the UAV is located; performing deep enhanced learning based on the revenue function to train a control function from the UAV state mapping to control; and by using the control function through training, generating a corresponding control instruction according to the state of the UAV and controlling the autonomous navigation of the UAV in a large-scale unknown complex scene. According to the invention, a navigation task can be independently accomplished only by using the perception information and position information of the UAV on the surrounding environment and the adaptive control of the UAV in a large-scale unknown complex environment is realized.

An aviation lamination material variable-parameter adaptive hole drilling system is characterized by comprising a, an end executor; b, a force sensor or a current detector; c, an adaptive controller; d, a control unit. An electric spindle transducer of the end executor controls the rotation of an electric spindle. The force sensor or the current detector is arranged on the electric spindle to be used for detecting the axial force or the current of the electric spindle. The adaptive controller communicates with the force sensor or the current detector and the control unit to be used for receiving feedback signals of the force sensor or the current detector to send instructions to the control unit, and the control unit controls the end executor to perform corresponding actions. A drive motor of the end executor comprises an encoder to be used for recognizing and feeding back tool feeding positions, and the adaptive controller communicates with the encoder and the control unit to be used for receiving the feedback signals of the encoder to send instructions to the control unit which controls the end executor to perform corresponding actions.

The invention discloses a fill light lamp automatic control method based on video analysis. The fill light lamp automatic control method based on the video analysis achieves the automatic control over a fill light lamp according to the changing of brightness values in a monitoring area. The fill light lamp automatic control method based on the video analysis achieves the self-adaptive control over the fill light lamp according to the changing of ambient brightness, avoids electric energy waste and light pollution to the environment by the fill light lamp, avoids the phenomena that the definition of monitoring video images declines due to insufficient light and the fill light lamp may flicker, saves equipment investment, shortens mounting construction cycles, and improves the reliability of system working.

The invention discloses a self-adaptive control skin surface electrical stimulation device, which uses a stimulation electrode to act on skin surfaces. The device is characterized by comprising a voltage regulating circuit, an electric pulse generation circuit, a stimulation electrode, a current measuring circuit and a skin resistance calculating unit, wherein a human body is stimulated by manually regulating the initial voltage value of the stimulation circuit; the current measuring circuit detects a current input into the human body; the current voltage and current are used to calculate the resistance of the skin; the voltage is regulated according to the relationship between feeling and a stimulation strength, so that the feeling of a person can keep constant. Compared with the prior art, the system has the advantages that: as a body surface electrical stimulation mode is adopted, when the device is used, an electrical stimulation electrode is contacted with the body surface, namely the needle electrode does not penetrate the human body, so the person has no pains and the use is convenient; and the current measuring circuit reduces noises and acquires effective current values correctly, so high-accuracy self-adaptive control of electrical stimulation can be realized under a complex actual application condition.

Embodiments of the invention provide a permission management method and apparatus, a medium and an electronic device. The permission management method comprises the steps of determining a position ofa user to be allocated with a permission in an organization; and allocating a position permission corresponding to the position to the user, wherein each position permission contains at least one rolepermission, each role permission contains at least one menu permission, and each menu permission contains an access permission of at least one business function. According to the technical scheme, fine-grained permission control can be realized; permissions in the organization can be conveniently and orderly managed; and the permission management efficiency can be improved.

The invention discloses a method for electromagnetic valve frequency conversion and current control of an automatic transmission. The method comprises control at a clutch / brake oil-way pressure regulation stage and control at a clutch / brake oil-way pressure maintenance stage, wherein an electromagnetic valve carrier valve control technology is adopted for the clutch / brake oil-way pressure regulation stage and current control is adopted for the pressure maintenance stage, and whole-course frequency conversion control of the electromagnetic valve is realized; the electromagnetic valve carrier valve control technology is adopted for the clutch / brake oil-way pressure regulation stage so that the response speed and the response precision of the electromagnetic valve are improved; the current control is adopted for the clutch / brake oil-way pressure maintenance stage, so that current change, caused by circuit voltage change, is avoided, and self-adaptive control of current is realized; besides, the current control is adopted for the clutch / brake oil-way pressure maintenance stage, so that extra heating or electromagnetic force reduction, caused by current change, of the electromagnetic valve is avoided, and the reliability of the electromagnetic valve during working is improved.

The invention provides a damper with energy recovery, comprising sleeve, piston, magnet and coil. There are two said magnets, which are fixed on the inner wall of sleeve respectively and the N pole of one magnet is opposite to the S pole of the other magnet. Said piston is set in the magnetic field formed by magnet in the sleeve. Said coil is round the outer of piston evenly. The invention also provides a vehicle suspension system with energy recovery, comprising damper unit, control cell and battery. Said damper unit comprises multiple dampers with energy recovery provided in the invention. The damper with energy recovery provided in the invention can realize the generation of energy recovery voltage by the principle of DC line generator so as to transform the mechanical vibration energy into electrical energy. The vehicle suspension system with energy recovery provided in the invention can realize adaptive control to damper and the control is relatively simple. The energy usage is improved.

The invention discloses a volume control method of an automobile player and the automobile player. The method comprises the following steps of: acquiring an external environment sound signal of the automobile player, and extracting a loudspeaker sound signal from an automobile player output signal; reversely processing the loudspeaker sound signal; superposing the loudspeaker sound signal which is reversely processed with the environment sound signal, and thus obtaining an environment noise signal; and according to the environment noise signal which is obtained and a preset gear value, regulating the volume of the automobile player. By the invention, self-adaptive control over the volume of the automobile player according to different external environment noises is realized, and an experience effect of a user is improved.

The embodiment of the invention provides a planting environment self-adaptive control method and device. The method comprises the steps of acquiring environment monitoring data and crop growth processdata; inputting the environment monitoring data and the crop growth process data into a trained corrected growth prediction model to obtain crop growth stage prediction information; and determining an environment control scheme according to the crop growth stage prediction information and a preset growth stage and planting database. The trained corrected growth prediction model considers factorssuch as crop structure change caused by human factors in the plant growth process; the crop growth stage prediction information is more accurately obtained through the trained corrected growth prediction model, so that the optimal planting environment corresponding to the crop growth stage is determined, and the self-adaptive efficient management of the crop planting environment is realized.

The invention discloses a self-adaptive control system and method for the swing speed of a cutting arm of a cantilever type heading machine and belongs to the field of autonomous guiding control of coal fully-mechanized excavating equipment. The self-adaptive control system comprises a sensing and detecting system, a heading-machine-mounted main control system and a system execution mechanism. In the coal wall cutting process of the heading machine, the load of a cutting head is also changed when the hardness of coal rock is changed, so that main work parameters of a cutting part system are also changed correspondingly; the sensing and detecting system detects the work parameters in real time and sends a signal to the heading-machine-mounted main control system; and the heading-machine-mounted main control system processes the received signal and controls the execution mechanism to make action, so that the self-adaptive control effect that the swing speed of the cutting arm is matched with the hardness of the cut coal rock in real time, and accordingly the full-automatic cutting process of the heading machine is achieved during coal mine roadway heading.

The invention discloses an energy-saving control method for a cooling system of an excavator and belongs to the technical field of energy saving control of cooling systems of engineering machinery. The method comprises the following concrete steps that: a master controller sets a target rotation speed and power of a hydraulic main pump based on a power mode and an accelerator knob input signal; conditional judgment is carried out on cooling water temperature, air inlet temperature and hydraulic oil temperature signals of an engine, a PWM (pulse-width modulation) signal is output, and the power of an independent cooling pump is adjusted; load vibration of the excavator under different work conditions is judged according to the power required by the cooling pump, a PWM signal is output to adjust the power of the hydraulic main pump under the rotation speed sensing control of an ESS (engine speed sensor) through two-dimensional fuzzy PID (proportion-integral-differential) adjustment, so that the output power of the engine is matched with the power of the hydraulic main pump and the power of the cooling pump. The energy-saving control method disclosed by the invention has the beneficial effects that optimal matching between the output power of the engine of the excavator and the power of the hydraulic main pump and the power of the cooling pump can be realized, adaptive control can be realized, and the stationarity and working efficiency of system operation can be improved, while the oil consumption and noises are effectively lowered.

The invention discloses a message flow control method and system. The message flow control method includes establishing a communication connection pool, a message buffer pool and a processing thread pool; detecting current using conditions of the communication connection pool, the message buffer pool and the processing thread pool in real time; adjusting capacity of the communication connection pool, the message buffer pool and the processing thread pool according to the current using conditions of the communication connection pool, the message buffer pool and the processing thread pool respectively; utilizing communication connection transceiving messages in the communication connection pool, and using messages in the message buffer pool and thread processing messages in the processing thread pool. In the message flow control method, the communication connection pool, the message buffer pool and the processing thread pool are established with the current using conditions under real-time monitoring, capacity of the pools can be adaptively adjusted, self-adaption control of the system on data communication flows is realized, and communication jamming and the like are avoided.

The invention relates to an upper air slow descending device based on a magnetorheological fluid damper. A winch is connected with permanent magnet direct-current generators through a gear transmission set. The permanent magnet direct-current generators are installed on the rotary magnetorheological fluid damper through a generator support. The matched braking torque is provided through the rotary magnetorheological fluid damper according to the descending speed of a person or a heavy object, so that the person or the heavy object descends at a constant speed, and upper air slow descent of the person or the heavy object is achieved. By the adoption of the upper air slow descending device, kinetic energy generated in the descending process of the person or the heavy object descending from the upper air is used and converted into electric energy through the permanent magnet direct-current generators, and the electric current is then supplied to the rotary magnetorheological fluid damper; and the different degrees of magnetic field intensity are generated by excitation coils according to the electric current, the braking torque is generated by magnetorheological fluid shearing stress in gaps between a fixed disc and rotary discs, the braking torque is correspondingly changed along with the descending speed of the person or the heavy object, and the self-adaptive control over the person or the heavy object is achieved. The upper air slow descending device is suitable for personnel self-rescue, upper air fire protection operation and the like and the self-rescue and other-people-rescue efficiency can be improved.

The invention provides a hand rehabilitation robot adaptive control method and device. The method includes obtaining an electroencephalogram signal characterizing user motion imagination and an upperlimb surface electromyogram signal characterizing user motion intention; performing feature extraction and classification recognition on the electroencephalogram signal, and obtaining the expected trajectory of hands; and inputting the expected trajectory into a variable impedance equation model, and obtaining the actual trajectory of the hands to obtain the motion-controlled quantity of each joint of a robot, wherein the impedance parameters of the variable impedance equation model can be adaptively adjusted according to the upper limb surface electromyogram signal. The method and device aresuitable for severe patients who cannot do upper limb motion or have small upper limb moving amplitudes; and adaptive adjusting can be performed on the impedance parameters of the variable impedance equation model according to the upper limb surface electromyogram signal, so that the adaptive control of the rehabilitation robot can be realized, and human-computer interaction levels during the rehabilitation training of patients can be greatly enhanced.

The invention discloses an electrolyzer for use in electrolytic in-process dressing metallic bond pellet grinding processing, which belongs to the field of grinding precision processing. A grinding disk of which the upper surface is embedded with grinding pellets is taken as an anode, and is driven to rotate by a machine tool main shaft; a workpiece disk and a workpiece are arranged in a chuck; a pressure head is used for driving the chuck to move transversely in a reciprocating way on the grinding disk to grind the workpiece; stainless steel boxes are taken as cathodes and are symmetrically distributed on both sides of the pressure head, and a micro transmission mechanism is arranged to realize fine adjustment of upward and downward displacement of the stainless steel boxes; through sensors, a PLC (Programmable Logic Controller), stepping motors and the micro transmission mechanism, the distances between the bottoms of the stainless steel boxes and the grinding disk are always kept about 1 millimeter; and moreover, the bottom surfaces of the stainless steel boxes are provided with grinding liquid spray holes which are distributed uniformly, so that an interpolar electrolytic in-process dressing function, i.e. anode dissolving, is performed fully and stably, and ultra-precision grinding processing of the workpiece is realized.

The invention discloses a slope compensation and loop bandwidth self-adaptation control circuit which is used for controlling a power-level circuit controlled by an electric current mode. The slope compensation and loop bandwidth self-adaptation control circuit comprises a voltage sampling circuit, a transconductance amplifying circuit, a current compensation circuit, a comparison circuit and a driving circuit, wherein the voltage sampling circuit is used for acquiring a feedback voltage which is used for representing an output voltage, the transconductance amplifying circuit is used for generating a voltage compensation signal according to the feedback voltage and a preset reference voltage, the current compensation circuit is used for generating a slope compensation signal according to a compensation current which changes along with switching frequency change and a sampling current used for presenting the inductive current value of the power-level circuit, the comparison circuit is used for generating a PWM control signal according to the voltage compensation signal and the slope compensation signal, and the driving circuit is used for driving the power-level circuit according to an external clock signal and the PWM control signal. According to the slope compensation and loop bandwidth self-adaptation control circuit, self-adaptation control of slope compensation and loop bandwidth is achieved, and the requirements of a switching power supply for good stability and fast dynamic response under the condition of different switching frequencies are met. The invention further discloses a switching power supply using the slope compensation and loop bandwidth self-adaptation control circuit.

The invention provides a traffic signal control system and method based on edge side online calculation. The system comprises vehicle-mounted terminal equipment, a signal machine and a signal lamp controller, wherein the vehicle-mounted terminal equipment is used for acquiring vehicle information data of an installed vehicle in real time, combining the vehicle information data into a vehicle information data packet and sending the vehicle information data packet to the annunciator; the signal machine is used for calculating and obtaining road condition parameters of each road section of the intersection according to the plurality of collected vehicle information data packets, outputting a current road passing state through a fuzzy comprehensive evaluation model, adjusting a signal timing scheme and sending the signal timing scheme to the signal lamp controller; and the signal lamp controller is used for performing adaptive control on the signal lamp according to the received signal lamp timing scheme. The system can detect and comprehensively analyze the traffic operation state of the intersection in real time; and intersection signal coordination adaptive control is realized.

The invention discloses a switching state control circuit and control method and a fly-back converter. A first voltage sampling signal characterizing the input voltage information is obtained, and theconduction time of a synchronous rectifier tube is adjusted according to the change state of the first voltage sampling signal so as to adjust the absolute value of a negative current flowing througha secondary winding, wherein the negative current is used to discharge a junction capacitor of a main power tube so as to reduce the drain-source voltage of the main power tube. The main power tube can be switched on in a ZVS (Zero Voltage Switching) mode under different input voltages. The magnitude of the negative current is appropriate, and no extra circulating current will be generated. Adaptive control is realized.

The invention discloses a self-adaptive control system of a proportional valve. The self-adaptive control system comprises a controller, wherein an input end of the controller is accessed into a feedback port of the proportional valve, and receives a control signal on the proportional valve; the controller carries out signal processing and output judging by combining the input control signal with a feedback signal of the proportional valve, and outputs a PWM signal; the PWM signal is used as an input signal of the proportional valve for being acted on the proportional valve, so that pressure flow displacement is formed from an electronic amplifier in the proportional valve to an electrical-mechanical converter, and the feedback signal is formed by an electrical detecting feedback mechanism in the proportional valve for being input to the controller; and the controller monitors and regulates the output PWM signal in real time, so that the PWM signal reaches the predetermined reasonable and stable control effect and then is acted to a hydraulic performing element. The invention further discloses a control method. According to the system and the method, the flow output of the proportional valve is in a stable state all the time, and is not affected by other factors, so that the controlled actions of the proportional valve are stable and precise.

The invention provides a method for controlling participation of a battery energy storage system in power grid secondary frequency modulation. An adjustment coefficient of participation of the battery energy storage system in the power grid secondary frequency modulation and a relation between the adjustment coefficient K2 and the amount of unbalance [delta]P of a load and generated power in a power grid are determined through the amount of unbalance [delta]P of the load and generated power in the power grid, after the amount of unbalance [delta]P of the load and generated power in the power grid goes through a generator-load frequency characteristic link, a frequency difference value [delta]f of a system is obtained, after a PI link of each power supply participating in the power grid secondary frequency modulation, to-be-changed-power of each power supply is obtained. The method can change the final output magnitude of participation of the battery energy storage system in the power grid secondary frequency modulation, the battery energy storage system realizes participation in the power grid secondary frequency modulation process through charging and discharging control, fire coal loss of a traditional unit can be reduced, and thus frequency modulation cost is reduced; and a balance between power supply power generation and load power utilization can be maintained rapidly.

In a method of controlling RRC (Radio Resource Control) state switching in a wireless communication system, adaptively controlling (S40) RRC state switching between an idle state and a connected state for a user equipment based on at least a detected mobility measure for said user equipment.

The invention aims to provide a traffic control method and device. A wide-area microwave radar is adopted, multi-lane and wide-range traffic information of each phase of intelligent traffic control can be obtained, the method is not affected by environment or weather, large-area laying is not needed, and the installation and maintenance cost is low. The traffic flow of each lane and the traffic flow of each phase can be balanced by using an equisaturation control mechanism, and the phase saturation degree of each phase is controlled to be within an idea range; an adaptive control method can sufficiently coordinate traffic requirements between the phases, the green light duration is fully utilized, and then adaptive control over traffic circulation is achieved.

The invention discloses a three-phase four-bridge-arm dual-closed-loop control method based on emotional intelligence and a passivity theory. A three-phase four-bridge-arm state equation under a d-q-0 coordinate is established; an Euler-Lagrange model is established, and a passivity-based controller (PBC) is designed according to a system passivity theory; the passivity-based controller is designed to serve as a nonlinear controller; compared with a conventional PI linear controller, the passivity-based controller is more applicable to a D-STATCOM linear system; the passivity-based controller has the advantages of high control response speed and good output current waveform and can serve as a current closed-loop controller; in addition, a simplified emotional intelligent controller is adopted; a corresponding link of orbitofrontal cortex in conventional emotional control is reduced, so that the emotional controller is simplified; meanwhile, a self-learning capability which is better than conventional PI control is still kept; the stability of a direct current side voltage can be well maintained; the anti-interference capability of the system is enhanced; and due to the dual-closed-loop control method, the three-phase four-bridge-arm D-STATCOM has good, rapid and stable compensation performance at a user side of a low-voltage three-phase four-wire system power supply system.

The invention relates to a microgrid energy optimization scheduling method based on adaptive control. The microgrid energy optimization scheduling method comprises the steps of S1, obtaining a randomlinear control system; S2, constructing an adaptive microgrid optimization scheduling model according to the random linear control system obtained in the step S1; S3, performing MPC optimal schedulingon the adaptive microgrid optimal scheduling model constructed in the step S2. The beneficial effects of the method are that: according to the microgrid energy optimization scheduling method based onadaptive control, under a combined optimization scheduling framework of a random energy and an energy storage system, an optimization strategy based on adaptive random model predictive control is provided; the method is compared with a robust model predictive control method based on scene construction, different self-adaptive updating strategies and comparison models of different adjusting parameters are designed, the scheduling performance of the system and the self-adaptability of the model can be effectively improved, and the conservative property of the system is reduced.

The invention discloses a traffic signal lamp control method and system based on reinforcement learning, and the method comprises the steps: firstly building a signal lamp control Agent model, then building a road and road intersection model, enabling the road traffic state information to be represented as a speed, position and current signal lamp state matrix, then, on the basis of traditional Q-Learning, establishing a traffic signal lamp control algorithm based on Deep Q Network (DQN) according to the road environment information; and finally, obtaining real-time road condition information through interaction between the Agent and the environment, performing search self-learning in a behavior space, estimating Q values for executing all possible actions in the current state, and selecting the action with the larger Q to be executed by utilizing an epsilon-greedy strategy. An existing traffic signal lamp control method is improved, the waiting time of vehicles at the intersection is minimized, the effective green light time of a signal control period is maximized, the vehicles are assisted to rapidly pass through the intersection, the passing time is shortest, meanwhile, the maximum traffic flow exists at the intersection, and thus the purpose of relieving traffic jam is achieved, and adaptive control of the traffic signal lamp is realized.

The embodiment of the invention discloses an intelligent control method and device for air conditioner temperature. The method includes the steps of judging whether the current air conditioner temperature meets the temperature increasing condition or not, and if yes, increasing the current air conditioner temperature. By means of the technical scheme provided by the invention, the energy conservation and comfort properties of an air conditioner can be improved advantageously in the operation process.