900results about How to "Increase dynamics" patented technology

An efficient, low-loss, low sidelobe, high dynamic range phased-array radar antenna system is disclosed that uses metamaterials, which are manmade composite materials having a negative index of refraction, to create a biconcave lens architecture (instead of the aforementioned biconvex lens) for focusing the microwaves transmitted by the antenna. Accordingly, the sidelobes of the antenna are reduced. Attenuation across microstrip transmission lines may be reduced by using low loss transmission lines that are suspended above a ground plane a predetermined distance in a way such they are not in contact with a solid substrate. By suspending the microstrip transmission lines in this manner, dielectric signal loss is reduced significantly, thus resulting in a less-attenuated signal at its destination.

A real-time integrated vehicle positioning method and system with differential GPS can substantially solve the problems encountered in either the global positioning system-only or the inertial navigation system-only, such as loss of global positioning satellite signal, sensitivity to jamming and spoofing, and an inertial solution's drift over time. In the present invention, the velocity and acceleration from an inertial navigation processor of the integrated GPS/INS system are used to aid the code and carrier phase tracking of the global positioning system satellite signals, so as to enhance the performance of the global positioning and inertial integration system, even in heavy jamming and high dynamic environments. To improve the accuracy of the integrated GPS/INS navigation system, phase measurements are used and the idea of the differential GPS is employed. However, integer ambiguities have to be resolved for high accuracy positioning. Therefore, in the present invention a new on-the-fly ambiguity resolution technique is disclosed to resolve double difference integer ambiguities. The real-time fully-coupled GPS/IMU vehicle positioning system includes an IMU (inertial measurement unit), a GPS processor, and a data link which are connected to a central navigation processor to produce a navigation solution that is output to an I/O (input/output) interface.

A device for control of the effects of vibrations on vibration sensitive equipment when a plurality of the devices are placed on a support surface and in operative contact with the vibration sensitive equipment is a unitary piece of a soft, pliable substance. The device has a top and a bottom and an exterior side wall extending between the top and the bottom. The exterior side wall is formed into a plurality of distinct levels between the top and the bottom, to thereby isolate vibrations which can affect the performance of the piece of vibration sensitive equipment.

Described herein are improved systems, methods, and devices for delivering and managing metadata in a distributed computing platform such as a content delivery network (CDN) so as to configure content servers to handle client requests. The teachings hereof provide, among other things, scalable and configurable solutions for delivering and managing metadata, preferably by leveraging dynamically obtained control information. For example, in one embodiment, a given content server may store metadata, e.g., in a configuration file, that references dynamic, late-bound control information for use in satisfying dependencies. This dynamic control information can be requested by the CDN content server, typically from a remote host, when needed to parse and execute the metadata.

A wind farm includes a plurality of wind energy installations which generate electrical energy to be output to a power supply system and a wind farm master for controlling the wind energy installations. Each wind energy installation includes a generator which is driven by a rotor, and the wind farm master includes a power control device having a plurality of loops. This plurality of loops includes a fast loop that includes a controller which acts on a first group of the wind energy installations and a slow loop that includes a controller which acts on a second group of the wind energy installations, the fast controller having a substantially higher dynamic than the slow controller.

The invention provides an AUV (autonomous underwater vehicle) three-dimension curve path tracking control method based on iteration. The method comprises the following steps that 1, initialization is carried out; 2, the relative tracking error of the current AUV position and the virtual guide point on an expected path in an AUV carrier coordinate system at the initial moment is calculated; 3, the expected moving speed of the virtual guide point on the expected path and the AUV kinematics tracking control law are calculated; 4, the iteration is adopted on the basis of the kinematics equivalent control law, and the kinematics equivalent control law of the underactuated AUV three-dimension path tracking is deduced; and 5, the distance between the current AUV position Eta<n>=(x, y, z) and the demarcated steering point WPk=(xk, yk, zk) is calculated, when the distance is smaller than the set track switching radius R, the result shows that the current specified path tracking task is completed, the navigation is stopped, or the track is switched to a next expected track, and otherwise, the second step is continuously carried out. The AUV three-dimension curve path tracking control method has the advantage that the AUV path tracking precision can be improved.

The invention relates to a grey active disturbance rejection control (ADRC) method of a long time-delay system. The method comprises the following steps of: arranging a grey prediction model GM (1,1) in a feedback circuit of ADRC; and compensating system time delay and processing system uncertainty caused by parameter time variation and the like by using grey advanced predication so as to form a new control law acting on a controlled object, improve the control effect of the ADRC and fulfill the aim of efficiently controlling a complicated time delay object. By the control method, the dynamic and steady control performance of a long time-delay time-varying object can be effectively improved by a control system.

A vehicle body inclination angle regulating unit (17) includes a balancing oil cylinder (10). One chamber of the balancing oil cylinder (10) is connected with an oil tank (5) and an oil source for leveling operation via a first one-way damper valve (8) and an electric controlled switch valve (7), and the other chamber of the balancing oil cylinder (10) is connected with a non-rod chamber of a suspension oil cylinder via an electric controlled shutoff valve (14) and a second one-way damper valve (9). In addition, an automatically-leveling hydropneumatic suspension mechanism includes at least two pairs of suspension oil cylinders (12), vehicle body inclination angle regulating units (17), a vehicle body transverse inclination angle sensor (1) and a control unit (3). Each suspension oil cylinder (12) is correspondingly provided with the vehicle body inclination angle regulating unit (17) including the balancing oil cylinder (10). The present invention realizes effectively dynamic leveling function of different road conditions, especially transverse slopes, of the mobile crane. The mobile crane is provided with simple operation that are all automatically performed by the control unit, which improves driving safety remarkably and prevents an accident of vehicle overturning.

The invention discloses a modification-based state-of-charge estimation method for an RC battery model. The modification-based state-of-charge estimation method comprises the following steps: building an RC modification model; identifying parameters of the model; utilizing the extend Kalman filter (EKF) algorithm to obtain a continuous state space function of the battery RC modification model; according to the battery model parameter values of all points SOCs, acquired by the identification method, performing repeated curve fitting; then using the interpolation method to acquire the parameter values of the SOCs in the whole stage. The invention provides the EKF battery state-of-charge estimation method based on the RC modification model by the built RC modification model to overcome the defects of the classical battery state-of-charge estimation algorithm. Compared with a traditional method, the modification-based state-of-charge estimation method has the characteristics of favorable dynamic performance, insensitivity to initial value errors, excellent measurement noise inhibition property and the like.

The invention relates to a robot gripper having a fixing flange for detachably attaching it to a robot manipulator arm, and at least one actuator element which is supported in a frame, that actuates at least two gripper jaws indirectly or directly kinematically via at least one articulated unit. At least the fixing flange, the frame and the actuator element are manufactured integrally using a generative manufacturing method, and the actuator element is in the form of a bellows, enclosed an internal volume, which can be filled with a medium via at least one opening, and is capable of expanding, when filled with a medium, along a linear axis predetermined by the bellows design of the actuator element and of contracting, when the volume is emptied, in the opposite direction.

An electrochemical energy store, including at least one electrochemical cell as well as at least one latent heat storage unit, which includes at least one phase change material. The at least one electrochemical cell is a lithium ion accumulator. The exemplary embodiments and/or exemplary methods of the present invention also includes the use of the electrochemical energy store in an electric vehicle or a hybrid vehicle. Furthermore, the exemplary embodiments and/or exemplary methods of the present invention relates to a method for temperature regulation of an electrochemical energy store.

The invention discloses a grid-connected inverter control method based on a state observer. The grid-connected inverter control method comprises the steps that (1) a bridge arm current iL1 and network voltage eg are detected, and a phase angle theta is obtained through phase locking of a phase-locked loop; (2) an observation state quantity is obtained through the state observer based on an internal model; (3) a state quantity feedback signal Xfd is obtained through a state feedback matrix K; (4) grid currents of an observational network are processed, and then grid current error signals ed and eq are obtained; (5) closed-loop processing is carried out on the grid current error signals ed and eq through a PI controller, and then through coordinate inverse transformation, wave generation voltage ui1 is obtained; (6) the wave generation voltage ui1 and the state quantity feedback signal Xfd are subtracted from each other to generate a SVPWM control signal ui of an inverter bridge switching tube, output of a three-phase full bridge inverter is controlled, and therefore a distributed power generation system is controlled to be combined to the grid. Practices show that the control method obtains good dynamic and steady-state performance for a grid-connected current.

The invention provides a method for observing a rotary speed of am induction motor of a Kalman filter with index fading factor, belonging to the field of drive control of motors. The method solves the problem that the observing result of state variable is influenced because the matrix error of the noise covariance is great in the standard Kalman filter EKF (Extended Kalman Filter) algorithm which is used for observing the rotary speed of the induction motor in the prior art. In the invention, the method realizes the rotary speed observation on the basis of a rotary speed observer and the Kalman filter is utilized in the rotary speed observer to carrying out error predication; the index fading factor lambda (K+1) is introduced into an error covariance matrix predictive equation of the Kalman filter in the process of realizing the rotary speed observation by operating the rotary speed observer; and the error covariance matrix predictive equation is shown in the specification. The method provided by the invention is suitable for observing the rotary speed of the induction motor.

The invention is suitable for the field of the mobile communications and provides a photographing method, a photographing device and a terminal. The method comprises the following steps: testing light of a scene needing to be shot by use of a first camera; determining the exposure time of the overexposure of the brightest region according to the light testing result; determining the exposure time of the first camera and the exposure time of a second camera according to the determined the exposure time of the overexposure of the brightest region, wherein the exposure time of the first camera is unequal to the exposure time of the second camera; photographing the scene needing to be shot simultaneously by use of the first camera and the second camera according to the determined exposure time of the first camera and the determined exposure time of the second camera; synthesizing a picture obtained by photographing the scene needing to be shot by use of the first camera and a picture obtained by photographing the scene needing to be shot by use of the second camera. The photographing method is capable of outputting a high-dynamic picture.

In an electrohydraulic drawing press drive, particularly an electrohydraulic drawing cushion drive including a hydraulic circuit with at least one motor which is operable as a drive motor or as a pump and at least one hydraulic pump which is operable as a pump or as a drive motor, an electric drive motor which is also operable as generator is connected to the hydraulic motor in order to drive the hydraulic motor or to be driven thereby and a control unit is provided for controlling at least one of the electric motor and the hydraulic pump.

A computer-implemented method of handling contacts at a contact center. The method includes the steps of identifying a characteristic associated with a contact received at the contact center, and labeling a contact entity representing the contact with a label identifying the characteristic. In response to receipt of a request from an agent of the contact center to handle the contact based on the label of the contact entity, the contact is assigned to the agent and in response to the agent successfully handling the contact, an agent record associated with the agent, is updated to indicate a proficiency in handling contacts associated with the characteristic.

The invention discloses a wastewater treatment process monitoring system based on a wireless network. The wastewater treatment process monitoring system based on the wireless network comprises an industrial wireless sensor network, an industrial wireless local area network and a wireless wide area network. The industrial wireless sensor network is responsible for collecting information of field devices of each process of the wastewater treatment. The industrial wireless local area network is responsible for processing the information which is sent by the industrial wireless sensor network and returning the processed data to the field devices at the same time. The wireless wide area network is responsible for transmitting and replying remote monitoring application and sending stoppage information to appointed technical people automatically at regular intervals during the period from stoppage occurrence to stoppage resolution. A traditional distributed collecting and distributing control system is updated to a network control system through different wireless networks, and therefore wireless remote real-time monitoring is truly realized.

The invention discloses a hydro governor parameter optimization method based on the fuzzy self-adaptive DFPSO algorithm. The method comprises the steps of (1), establishing a hydroturbine regulating system mathematical model; (2), determining a fitness function of the fuzzy self-adaptive DFPSO algorithm; (3), implementing fuzziness setting on the speed inertia factor of the algorithm, wherein the linearly-decreasing inertia factor and the current particle optimal performance evaluation index are input fuzzily; (4), calculating the fitness values of particles, maintaining the individual optimal values and the global optimal values of the particles and updating the speeds and positions of the particles; (5), carrying out gene crossover between the particles when the crossover condition is met; (6), judging whether the end condition is met, stopping gene crossover and outputting the optimal value when the end condition is met, and implementing the steps (4) to (6) when the end condition is not met. According to the invention, a system can have good dynamic property on the conditions of frequency disturbance and loading disturbance, small overshoot, short stabilization time and short adjustment time.

The invention provides a Kinect-based pallet dynamic identification and location method and system, and a medium. The method comprises the steps of first, calculating extrinsic camera parameters; second, acquiring color and depth images, aligning the color and depth images, screening out effective points according to gray-scale and depth data and converting the effective points into a point cloud;third, pre-processing the point cloud obtained in the second step; fourth, performing Euclidean clustering on the point cloud processed in the third step; fifth, processing a cluster obtained in thefourth step, and extracting a characteristic plane; sixth, matching a characteristic plane point cloud with a front end surface of a pallet; and seventh, performing geometry calculation, and determining a position and a deflection angle of the pallet relative to a world coordinate system origin. The method and system have the beneficial effects that the pallet is identified mainly based on the characteristic of the front end surface of the pallet as well as the three-dimensional size of the pallet, the robustness is high, a set target point in the pallet can be identified accurately and a geometric center of the pallet can be calculated when only a half end surface is seen, the dynamic performance is high, and accurate location is realized.

The invention discloses a four-rotor flight control method based on a sliding mode variable structure. First, based on the fact that controlled variables respond to control input at different speeds, the controlled variables are classified as very fast variables, fast variables and slow variables, and a four-rotor unmanned helicopter dynamics model is divided into three subsystems, namely, a very fast loop system, a fast loop system and a slow loop system; then, a control law based on a dynamic inversion control method is designed for the very fast loop system, the fast loop system and the slow loop system respectively; and finally, a control law based on a variable sliding mode structure control method is designed for the very fast loop system, the fast loop system and the slow loop system respectively to enhance the robustness of the system to parameter perturbation and external disturbance. The method of the invention can improve the static characteristic and dynamic characteristic of four-rotor unmanned helicopters.

The present invention is directed to a method of operation and a control program for a central unit (e.g., CPU) in an automation system repeatedly executing a control program that is stored in the central unit and comprises at least two subprograms. A single instance of execution occurs within a cycle time which is stipulated by the control program. The central unit executes only one of the subprograms—the activated subprogram—at a time. The cycle time is independent of the activated subprogram, is shorter than the time required in order to execute all of the subprograms, and is at least as long as the longest time period required in order to execute one of the subprograms once.

The invention discloses an optimal two-vector combination-based model predictive control method and system. The method is applied to a permanent-magnet synchronous motor control system driven by a three-phase two-level inverter. A model predictive current control strategy is adopted, all two-vector combinations and resultant vector sets obtained under action time are considered at the same time, and a cost function is inspected and an optimal resultant vector is selected from all to-be-selected sets. In order to simplify the optimization process, an equivalent voltage equation is given, a sector transformation method is provided and to-be-selected two-vector combination sets are transformed into multiple fixed line segments; and a fast algorithm is given and partial complicated calculation is transformed to offline execution, so that the real-time calculated amount of the novel method is effectively reduced. The model predictive control method disclosed by the invention is simple in structure, small in real-time calculated amount and easy to implement; and the response speed of a motor is high, current ripples and distortion are small, the switching frequency is low and the dynamic and static performance of the system is excellent.