40 results about "Hybrid logic" patented technology

Providing ASIC equivalents of FPGAs is facilitated and made more efficient and economical by using an ASIC architecture including a plurality of so-called hybrid logic elements (“HLEs”), each of which can provide a portion of the full functionality of an FPGA logic element (“LE”). The functionality of each FPGA LE implementing a user's logic design can be mapped to one or more HLEs without re-synthesis of the user's logic. Only as many HLEs as are necessary are used to perform the functions of each LE. The one-for-one equivalence between each LE and either (1) one HLE or (2) a group of HLEs facilitates mapping (without re-synthesis) in either direction between FPGA and ASIC designs.

The invention proposes a vehicle semi-active suspension hybrid control method based on a damping multi-mode switching vibration damper, and the method comprises the steps: (1), building a damping nonlinear characteristic mathematical model of a vibration damper according to the structural principle of the damping multi-mode switching vibration damper; (2), carrying out the simulation analysis of the damping nonlinear characteristic mathematical model of the vibration damper, obtaining the speed characteristic curve of the vibration damper, and determining the restoration damping coefficient and compression damping coefficient of the vibration damper in each damping working mode; (3), building a vehicle semi-active suspension hybrid dynamic model comprising the damping multi-mode switching vibration damper based on a hybrid logic dynamic modeling method; (4), combing with the requirements of suspension system control, and completing the design of a vehicle semi-active suspension hybrid model prediction controller. Compared with the prior art, the method can achieve the effective control of a vehicle semi-active suspension comprising the damping multi-mode switching vibration damper, improves the actual control performance of a vehicle semi-active suspension system, is lower in implementation cost of a control strategy, is strong in actual application capability, and is remarkable in advantages.

The invention discloses a control method for high-power reactive and harmonic dynamic hybrid compensation method. The hybrid compensation system comprises an SVG (static var generator), a TSF (thyristor switched filter) group and a controller, and the SVG and TSFs are parallelly connected to a grid. The three-phase current of the grid between the SVG and the TSFs is taken as a detection object, voltage and current values collected by sensors are processed through the controller, switching signals of the TSFs are acquired according to hybrid logic judgment, most of the reactive power of loads is compensated in a graded manner, and specific subharmonic is filtered out; control parameters of the SVG are acquired according to an instantaneous-power theory, and the surplus reactive power and harmonic of the loads are continuously compensated. A cost-effective scheme for rapid continuous compensation of the high-power reactive and harmonic is provided, impact of switching of passive equipment on the grid can be completely avoided, and harmonic current is avoided flowing to the grid, so that the control method is energy saving, emission reducing, green, environment friendly, good in social and economical effectiveness, wide in application range and especially applicable to the field of oil drilling.

The invention discloses a method for controlling a double-shaft parallel hybrid power urban bus. The method comprises the following steps that a power transmission system model is set up; linear fitting is carried out; the reachable area of a state of charge (SOC) is pre-determined; a prediction control model is set up; a hybrid integral linear programming problem is solved. According to division of the work modes and the dynamic characteristic of hybrid logic, the work modes of the hybrid power bus can be freely switched according to running conditions and the behavior of a driver, and therefore torque is distributed to an engine and a motor through an optimal method. The problem that due to a control method based on rules, torque distribution cannot be automatically optimized according to the running conditions is effectively solved. The defect that only the current moment can be considered in instantaneous optimization is effectively overcome through the prediction model. When the range of visibility is predicted, duration enabling the relative error of the prediction result and an ideal value to be small can be found according to experiments, and the strict requirement for the whole running conditions in global optimization is effectively eliminated.

The invention provides a new password authentication method, which comprises the following steps of: receiving an input original password; generating a random Salt value; generating an initial key Hash0 by a Hash algorithm according to the random Salt value and the original password, wherein Hash0 = H0 (salt + password) and the magnitude of the Hash0 is L0 bytes; converting the Hash0 through a character string, and generating an initial key vector D, wherein the magnitude of the Hash0 is L0 bytes and D is 4-dimensional vector array [x, y, z, w] with magnitude of 2*L0 bytes; initializing a key Box by hybrid logic filling according to the initial key Hash0; generating a new key vector D' by logical operation according to the initialized key Box and the initial key vector D; and taking the new key vector D' as a final key. The method has extremely high security, overcomes the security defect of current software encryption, can resist violent password resolution, and can effectively protect the security of user password and data.

The invention discloses a parallel hybrid electric vehicle energy management method with gearbox gear control, and relates to the field of hybrid electric vehicle energy management. The parallel hybrid electric vehicle energy management method analyzes an evolution law of a state of charge change rate of a battery and engine specific fuel consumption under each gear, combines with a hybrid logic dynamic modeling method, establishes a parallel hybrid electric vehicle energy management system model including gearbox discrete gear information, further introduces a model predictive control idea, defines motor torque as a continuous control variable, and defines gearbox gears as discrete control variables and translates an optimization problem into a mixed integer quadratic programming problemto solve, the strategy optimizes the torque distribution of each power source and decides an optimal gearbox gear. The parallel hybrid electric vehicle energy management method aims at the energy management problem of a parallel hybrid electric vehicle with a gearbox, and has the advantages of high pertinence, high practicability, good optimization effect, high integration and the like.

An apparatus is disclosed herein for a programmable gate architecture with hybrid logic / routing circuitry. In one embodiment, a programmable gate array comprises a plurality of hybrid logic or routing tiles (HLRT), each of the HLRTs having a hybrid logic-or-routing function (HLR) that is configurable as a logic function or a routing function.

The invention discloses a method for diagnosing an IGBT open-circuit fault of a single-phase cascaded NPC rectifier. A hybrid logic dynamic model of a single-phase NPC ripple rectifier is establishedthrough a current direction and an IGBT control signal; an input voltage and an input current of an initial alternating current side are estimated through the model; and a fault unit is found out through voltage residual error positioning, and a fault IGBT is identified through a current residual error change. The method considers the influence of high-voltage, high-power and strong electromagnetic environment on the power electronic transformer, and has the characteristics of high diagnosis speed, more accurate diagnosis result, no need of more data and the like.

The invention discloses a new energy electric vehicle driving system current sensor tiny fault diagnosis method, and belongs to the technical field of fault diagnosis. The method comprises the following steps of establishing a hybrid logic dynamic model, establishing a state equation, establishing an augmentation system and carrying out coordinate transformation, establishing a novel adaptive sliding mode observer, making residual errors, giving an adaptive threshold value and carrying out fault diagnosis. The state augmentation method is adopted to reconstruct the fault so that the tiny fault is easier to detect. Compared with a traditional sliding mode observer, the novel self-adaptive sliding mode observer adopted by the method has the advantages that the sliding mode motion time and buffeting are reduced; according to the method, the accuracy, the robustness and the anti-interference performance of fault diagnosis are improved by adopting a self-adaptive threshold value; and according to the method, a fault detection characteristic quantity is defined by comparing a relation between a residual error and a self-adaptive threshold value to carry out fault diagnosis on a current sensor of a three-phase two-level inverter.

The invention relates to hybrid logical to physical caching scheme. A variety of applications can include systems and methods that utilize a hybrid logical to physical (L2P) caching scheme. A L2P cache and a L2P changelog in a storage device can be controlled for use in write and read operations of a memory system. A page pointer table in the L2P cache can be accessed, for performance of a write operation in the memory system, to obtain a specific physical address mapped to a specified logical block address from a host, where the access is based on the page pointer table loaded into the L2P cache from the L2P changelog. The L2P cache area can be progressively configured with the most frequently accessed page pointer tables in the L2P changelog in the latest host accesses.

The invention relates to a predication control method for a brushless DC motor drive system. According to the invention, current value of a practical system and a current value based on a hybrid logic dynamic model and subjected to state estimation are collected and compared, and future parameters are predicated according to history parameters of the system, namely, state estimation is performed on the system. Current is taken as the major control object of the design in the invention. The controller takes comparison signals of inverter output signals of the practical brushless DC motor drive system and output signals of the state estimator as reference signals. After estimation of future moment parameters of the system is performed, an optimized target function is set, so that the optimal control volume of the next moment is selected and an aim of prediction control is achieved. By adopting the method, data volume is simplified, control features of the brushless DC motor are improved, inhibition on electromagnetic torque pulse is realized and practical application is facilitated.

The invention discloses a composite open-circuit fault diagnosis method for an NPC three-level inverter, and belongs to the technical field of fault diagnosis. The method comprises the following steps of establishing a hybrid logic dynamic model, establishing a novel adaptive sliding mode observer, giving a primary adaptive threshold value, carrying out primary fault diagnosis, giving a secondary adaptive threshold value and carrying out secondary fault diagnosis. Compared with a traditional sliding-mode observer, the novel self-adaptive sliding-mode observer has the advantages that the sliding-mode surface approaching time is shortened, and buffeting of sliding-mode motion is reduced; according to the method, the accuracy and robustness of fault diagnosis are improved by adopting a self-adaptive threshold value; according to the method, a three-phase output current estimation value and a relation between a three-phase output current residual error and an adaptive threshold value are compared to define a fault detection characteristic quantity and a fault positioning characteristic quantity to carry out fault diagnosis on the NPC three-level inverter, and multi-switch tube fault diagnosis continues to be carried out after the first fault diagnosis.

The invention discloses a high-speed real-time simulation method of a two-level rectifier and an inverter. A hybrid logic dynamic model is used for describing an electric traction drive system, so that a logical expression is built for judging the switching function state of the rectifier and the inverter; a state equation and a matrix equation are used for conducting modeling on the rectifier and the inverter respectively; an electric traction drive system discretization calculation implementation block diagram is provided, and concurrent simulation calculation is realized. According to the high-speed real-time simulation method of the two-level rectifier and the inverter, an FGPA chip is used as a simulation calculation unit, a System Generator tool is used for integrating a simulation mathematic model into the FPGA chip, a rectifier simulation model is discretized, and numerical variables in a fixed-point number simulation system are adopted; delay caused by calculation step length is reduced through microsecond real-time simulation, the dynamic property of a simulation system is improved, and simulation precision is improved.

The invention provides a switch tube open-circuit fault diagnosis and positioning method of a high-speed rail traction system single-phase three-level rectifier, and belongs to the field of fault diagnosis. The method comprises the following steps of establishing a hybrid logic dynamic model, establishing a novel self-adaptive sliding mode observer, providing a primary diagnosis self-adaptive threshold, performing primary fault diagnosis, providing a secondary diagnosis self-adaptive threshold, performing secondary fault diagnosis and positioning, providing a third diagnosis self-adaptive threshold, and performing third fault diagnosis and positioning. According to a self-adaptive sliding mode observer provided by the invention, a system does not need to provide a very accurate dynamic model, only a sliding mode surface needs to be reasonably designed by utilizing a tracking error of a track, and the approaching rate can be adaptively switched, so that the approaching speed is accelerated, buffeting of sliding mode motion is reduced, and the diagnosis accuracy is improved; according to the method, fault diagnosis and positioning are carried out on a switch tube by comparing the relation between the residual characteristic quantity and the self-adaptive threshold value.

The invention discloses a positive feedback XOR / XNOR gate and a hybrid logic adder. The hybrid logic adder comprises a positive feedback XOR / XNOR gate and an output circuit. The positive feedback exclusive-OR / XNOR gate comprises a first PMOS tube and a second PMOS tube which are used as transmission tubes, and a first NMOS tube and a second NMOS tube which form a pull-down network. The third PMOStube, the third NMOS tube and the fourth NMOS tube form a positive feedback loop; when the exclusive-OR logic output end of the positive feedback exclusive-OR / exclusive-OR gate is pulled down to be below the switching threshold value of an inverter composed of a third PMOS tube and a fourth NMOS tube, the exclusive-OR logic output end of the positive feedback exclusive-OR / exclusive-OR gate is switched off. The positive feedback loop starts to work, so that the exclusive-OR logic output end of the positive feedback exclusive-OR / XNOR gate enters an accelerated pull-down period and is successfully pulled down to a low level, and threshold-voltage-loss-free is realized; the invention has the advantages of no threshold voltage loss, and small time delay and power consumption time delay product.

The invention discloses a fault diagnosis method for a cascaded H-bridge multi-level inverter, and the method comprises the steps: firstly building a hybrid logic dynamic model for a cascaded H-bridge multi-level inverter system, and predicting an output side current value in a normal working state through a current sliding-mode observer; comparing the output of an actual system with the output of an observer to obtain a residual signal, analyzing the residual signal to obtain the category of a fault, then carrying out wavelet packet decomposition on the output current in a fault state to obtain a wavelet packet energy spectrum, carrying out principal component analysis dimension reduction to obtain a fault feature vector, and for a plurality of faults in each fault category, training the SVM corresponding to the fault category; and finally, carrying out fault identification by using the trained SVM in the category to which the fault belongs, so that fault diagnosis is completed.

The invention discloses a logic circuit design method and apparatus, and a storage medium. The method comprises the steps of designing and generating an initial MOSFET-TFET hybrid logic circuit, wherein the MOSFET-TFET hybrid logic circuit comprises a plurality of logic gates; in a series branch of the initial MOSFET-TFET hybrid logic circuit, replacing a first type of TFET with an MOSFET, whereinthe first type of TFETs are directly grounded or connected with a power supply and are not directly connected with the output end of the logic gate. According to the logic circuit design method disclosed in the invention, by replacing the first type of TFET in the series branch of the initial logic circuit with the MOSFET, the defect of overlarge current attenuation caused by the TFET in the series branch is overcome, and the first type of TFET is a TFET which is directly grounded or powered and is not directly connected with the output end of the logic gate.

The invention provides a personification automatic driving strategy based on model prediction control. The personification automatic driving strategy comprises the following steps: establishing a vehicle state prediction model based on a model prediction control algorithm according to a vehicle nonlinear kinematics model; based on a hybrid logic dynamic method, an automatic driving vehicle collision safety hard constraint is established in combination with the vehicle state prediction model; establishing a decision planning optimization model by taking a performance target representing comfort and controlling energy consumption as a target function according to the collision safety hard constraint; and performing weight assignment on a performance target in the decision planning optimization model based on driver personification behavior characteristics to obtain a model prediction control-based personification automatic driving strategy. According to the invention, the technical problem that the existing automatic driving decision planning can only realize obstacle avoidance driving in a simple environment and cannot accurately evaluate the vehicle driving risk in real time in a complex dynamic driving environment can be solved.

An apparatus is disclosed herein for a programmable gate architecture with hybrid logic / routing circuitry. In one embodiment, a programmable gate array comprises a plurality of hybrid logic or routing tiles (HLRT), each of the HLRTs having a hybrid logic-or-routing function (HLR) that is configurable as a logic function or a routing function.

The invention discloses a method for controlling a double-shaft parallel hybrid power urban bus. The method comprises the following steps that a power transmission system model is set up; linear fitting is carried out; the reachable area of a state of charge (SOC) is pre-determined; a prediction control model is set up; a hybrid integral linear programming problem is solved. According to division of the work modes and the dynamic characteristic of hybrid logic, the work modes of the hybrid power bus can be freely switched according to running conditions and the behavior of a driver, and therefore torque is distributed to an engine and a motor through an optimal method. The problem that due to a control method based on rules, torque distribution cannot be automatically optimized according to the running conditions is effectively solved. The defect that only the current moment can be considered in instantaneous optimization is effectively overcome through the prediction model. When the range of visibility is predicted, duration enabling the relative error of the prediction result and an ideal value to be small can be found according to experiments, and the strict requirement for the whole running conditions in global optimization is effectively eliminated.

The invention discloses a fault diagnosis method for a single-phase parallel inverter, and the method comprises the following steps: S1, building a hybrid logic dynamic MLD model of a hybrid system according to the topological structure of the single-phase parallel inverter, the state of a switching tube trigger signal, and the flow direction of an input current; s2, establishing a Luenberger observer according to the MLD model to obtain a state space expression of the system; s3, obtaining the observed value of the output current of each inverter unit of the system through a Luenberger observer, thereby obtaining the observed value of the circulating current of the system; s4, comparing the actual value of the system circulation with the observed value to obtain a residual signal; s5, analyzing residual signals when different switch tubes have open-circuit faults; and S6, setting a threshold value to eliminate the influence of other factors in an actual system on a fault diagnosis result so as to position a faulty switch tube. The method does not depend on a specific single-phase parallel inverter control method and has universality.

The invention proposes a vehicle semi-active suspension hybrid control method based on a damping multi-mode switching vibration damper, and the method comprises the steps: (1), building a damping nonlinear characteristic mathematical model of a vibration damper according to the structural principle of the damping multi-mode switching vibration damper; (2), carrying out the simulation analysis of the damping nonlinear characteristic mathematical model of the vibration damper, obtaining the speed characteristic curve of the vibration damper, and determining the restoration damping coefficient and compression damping coefficient of the vibration damper in each damping working mode; (3), building a vehicle semi-active suspension hybrid dynamic model comprising the damping multi-mode switching vibration damper based on a hybrid logic dynamic modeling method; (4), combing with the requirements of suspension system control, and completing the design of a vehicle semi-active suspension hybrid model prediction controller. Compared with the prior art, the method can achieve the effective control of a vehicle semi-active suspension comprising the damping multi-mode switching vibration damper, improves the actual control performance of a vehicle semi-active suspension system, is lower in implementation cost of a control strategy, is strong in actual application capability, and is remarkable in advantages.

The invention discloses a control method for high-power reactive and harmonic dynamic hybrid compensation method. The hybrid compensation system comprises an SVG (static var generator), a TSF (thyristor switched filter) group and a controller, and the SVG and TSFs are parallelly connected to a grid. The three-phase current of the grid between the SVG and the TSFs is taken as a detection object, voltage and current values collected by sensors are processed through the controller, switching signals of the TSFs are acquired according to hybrid logic judgment, most of the reactive power of loads is compensated in a graded manner, and specific subharmonic is filtered out; control parameters of the SVG are acquired according to an instantaneous-power theory, and the surplus reactive power and harmonic of the loads are continuously compensated. A cost-effective scheme for rapid continuous compensation of the high-power reactive and harmonic is provided, impact of switching of passive equipment on the grid can be completely avoided, and harmonic current is avoided flowing to the grid, so that the control method is energy saving, emission reducing, green, environment friendly, good in social and economical effectiveness, wide in application range and especially applicable to the field of oil drilling.

The invention relates to an attitude control method of direct lateral force and aerodynamic composite missile attitude control based on hybrid predictive control, which belongs to the field of aircraft control. The invention solves the problem that the existing attitude control design method cannot simultaneously solve the problem of model nonlinearity and control input mixed characteristics. The technical gist of the present invention is: establish the complete attitude control model and the direct lateral force model of direct lateral force and aerodynamic compound missile, and through the analysis of aerodynamic characteristics, transform the nonlinear dynamic model into a segmented affine model; Based on the equivalence between the piecewise affine model and the hybrid logic dynamic model, and considering the hybrid characteristics of the control input, a hybrid logic dynamic model for compound control missiles is established; based on the hybrid logic dynamic model, an explicit model predictive control law is designed to determine the aerodynamic rudder Control law and attitude control engine opening law. The method of the invention is applicable to the field of aircraft guidance and control.

The invention discloses an NPC three-level inverter multi-class fault diagnosis method based on a reduced-order observer, and belongs to the technical field of fault diagnosis. The method comprises the following steps of establishing a hybrid logic dynamic model, performing decoupling by utilizing matrix transformation, decomposing a sensor fault and a system state, establishing a reduced-order observer, defining a current form factor and a fault diagnosis adaptive threshold value, performing fault diagnosis, and then performing fault positioning. According to the method, the sensor fault and the system state are decomposed by adopting matrix transformation, so that the inverter switching tube fault and the sensor fault can be diagnosed at the same time; according to the method, the accuracy and robustness of fault diagnosis are improved by adopting the current form factor and the self-adaptive threshold value; according to the method, a switch tube fault detection characteristic value, a sensor fault detection characteristic value and a fault positioning characteristic value are defined according to characteristics of three-phase output current and a sensor fault estimation value, and multi-class fault diagnosis is carried out on the NPC three-level inverter.

The invention provides a method for diagnosing and locating an open circuit fault of a switch tube of a single-phase three-level rectifier of a high-speed rail traction system, belonging to the field of fault diagnosis. The method includes the following steps: establishing a hybrid logic dynamic model, establishing a new adaptive sliding mode observer, proposing an adaptive threshold for primary diagnosis, primary fault diagnosis, proposing an adaptive threshold for secondary diagnosis, diagnosing and locating secondary faults, and proposing tertiary diagnosis Adaptive threshold, three fault diagnosis and localization. The adaptive sliding mode observer proposed by the present invention does not require the system to provide a very accurate dynamic model, but only needs to use the tracking error of the trajectory to reasonably design the sliding mode surface, and can adaptively switch the approach rate, thereby speeding up the approach speed. And the chattering of the sliding mode motion is reduced, and the accuracy of diagnosis is improved; the method can diagnose and locate the fault of the switch tube by comparing the relationship between the residual feature quantity and the adaptive threshold.

An integrated circuit (IC) is provided. The IC includes a first region having an array of programmable logic cells. The IC also includes a second region incorporated into the IC and in communication with the first region. The second region includes standard logic cells and base cells. In one embodiment, the standard logic cells are assembled or interconnected to accommodate known protocols. The base cells include configurable logic to adapt to modifications to emerging communication protocols, which are supported by the base cells. The second region can be embedded in the first region in one embodiment. In another embodiment, the second region is defined around a perimeter of the first region. The configurable logic may be composed of hybrid logic elements that have metal mask programmable interconnections so that as emerging communication protocols evolve and are modified, the IC can be modified to accommodate to the changes in the protocol. In another embodiment, a generic device can be customized by replacing the original function with a completely new function targeting a specific application space, e.g., replacing the original function such as a PCI Express, used for computing based applications, with 4OG / 10OG Ethernet and Interlaken, used in wireline applications. A method of designing an integrated circuit is also provided.