144 results about "Fuzzy logic control" patented technology

Fuzzy logic is utilized to control an RF amplifier and associated tuner for continuous self-optimization and automatic load matching to at least double the battery life of a battery-powered transmitter.

A fuzzy logic control arrangement is provided for an impedance match network of the type that is typically employed between a source of RF power at a given impedance, e.g., 50 ohms, and a non-linear load whose impedance can vary in magnitude and phase, e.g., an RF plasma. The fuzzy logic controller fuzzifies the phase and the magnitude error signals. The error signals are applied to a fuzzy logic interference function based on a number of fuzzy sets. The values of the error signals enjoy some degree of membership in one or more fuzzy sets. Fuzzy logic rules are applied to the phase and magnitude error signals. In a defuzzification stage, drive signal values are obtained for moving the tuning elements of the variable impedances. The drive signal values are weighted according to respective fuzzy inference functions for which the error signals enjoy membership. Then the weighted drive signal values are combined to produce output drive signals.

The present invention is a method and system for adaptively detecting a patient trigger threshold. The system and method uses fuzzy-logic control algorithm to detect an appropriate trigger threshold by monitoring the number of patient triggers within a predetermined time frame. The system and method also detects an appropriated trigger threshold by monitoring the complete absence of false triggers over a predetermined time frame, increases in average flow, increases in pressure differential, and pressure drop, in order to lower the trigger threshold. The method and system of the present invention is selectable to the user, and adaptively changes the inspiratory trigger threshold.

A level control algorithm for an HVAC refrigeration system is provided. The control algorithm utilizes a fuzzy logic methodology to automatically adjust a flow of refrigerant in the system to maintain a desired liquid level in the condenser. The fuzzy logic methodology incorporates a plurality of fuzzy logic control algorithms each having different membership functions and other control parameters that can provide different degrees of level control in the condenser. A particular fuzzy logic control algorithm is selected based on the amount a measured liquid level in the condenser deviates from the desired liquid level in the condenser.

The invention discloses a wind and light storage generating unit capacity optimal configuration method based on the rated capacity. The method comprises the following steps that firstly, a model is established according to the distribution situation of the local wind resource and the local light resource; secondly, a storage battery device is controlled according to the principle about utilizing the renewable energy sources to the maximum degree and performing constant output, and a coordinated operation strategy of the system is formulated; thirdly, a target function is set to show the expenditure in the life cycle of a generating unit and, and the expenditure is set to be minimal; fourthly, the constraint condition of capacity optimal configuration is determined; fifthly, a fuzzy logic control method is utilized for dynamically adjusting an energy converting model of an energy-storing storage battery so that the energy converting model can achieve rapid convergence; sixthly, based on the target function and the constraint condition, the target function of the generating unit and capacity proportion optimal values of all parts are resolved according to an improved iteration and self-adaptation genetic mixed algorithm. According to the method, a power grid can conveniently assess the generating capacity of the generating unit, and the power grid can easily formulate the dispatching plan and improve the accepting degree for the renewable energy sources.

An apparatus for manufacturing composite parts produced by resin transfer molding (RTM) is configured to operate in controlled flow-rate mode or controlled pressure mode to use the RTM technique for manufacturing large-sized composite parts with a low fiber content. In both modes, control is by means of a fuzzy logic control card. In controlled flow-rate mode the resin is injected alternately by two injection cylinders (40a and 40b) controlled by motors whose speed is controlled. In controlled pressure mode the resin is injected directly from resin supply vessels (16) subjected to pressure controlled by an air regulator (30).

The system includes following parts: image buffer; image analyzer in multiple scales connected to the image buffer; fuzzy logic controller (FLC) connected to the image analyzer in multiple scales; edge enhancement processor connected to image buffer and FLC; noise remover connected to connected to image buffer and FLC; synthesizer connected to image buffer, noise remover, edge enhancement processor, and FLC. The method includes following steps: based on fetched original image data to obtain edge information of original image; based on edge information of original image to obtain variance of gain and noise of original image; based on calculated data of edge enhanced image and noise removed image to obtain final processed data. Using edge analysis in multiple scales, under control of fuzzy logic, the invention realizes self-adaptive noise reduction process and edge enhancement process for images.

An apparatus and method for enhancing advanced process control (APC) performance based on fuzzy logic control (FLC) concept and methodology is described. The method and apparatus provide a systematic way to characterize / assess process operations (encompassing the manufacturing process, laboratory measurement systems, and control practices / results) automatically and then determine the best APC model update and feedback control strategies dynamically to cope with various control problems commonly observed in the polymer industry. Since the method is able to reach a single definite control output signal based upon vague, ambiguous, or imprecise input information, control issues that are difficult to quantify or model mathematically can now be addressed effectively and included as part of the APC control strategy. With the method, polymer manufactures can better use their existing off-line laboratory results for on-line APC controllers without resorting to costly on-line property measurements or inferential sensors.

Fuzzy logic is utilized to control an RF amplifier and associated tuner for continuous self-optimization and automatic load matching to at least double the battery life of a battery-powered transmitter.

The invention provides a novel control method combining fuzzy logic control with gain auto-tuning sliding mode control. A control error signal e(t) from the detection mechanism and an error change signal ce(t) are combined together as a sliding variable s(t)=ce(t)+λe(t) and used as the fuzzy input control variable. Using the control method, 2D fuzzy control rule is simplified into 1D fuzzy control rule through the sliding variable definition for enhancing the efficiency of computation and saving computation resources. Accordingly, both the quick transient response and steady state precision positioning can be achieved. The present method can overcome the disadvantages of current controller, which can not reach the desired transient and steady state responses simultaneously.

The invention discloses an efficient message authentication method for a vehicular ad hoc network based on edge computing, which comprises the steps of system initialization of participating entitiesof the Internet of vehicles, wherein the step comprises two processes such as parameter generation and vehicle pseudonym and signature generation; and (2) message authentication of an RSU (Roadside Unit) and a vehicle, wherein the step comprises four processes such that the RSU elects an edge computing vehicle (ECV), the ECV executes a task, the RSU checks an authentication result of the ECV and vehicle message authentication is performed. The signing portion of the invention adopts an elliptic curve cryptography based operation, thereby enabling the computation and transmission overhead to below; further the ECV is elected according to a fuzzy logic control theory to achieve local optimal election; the ECV is set to help the RSU to achieve quick and accurate message signature authentication; and the RSU reduces the redundant authentication of the whole system to the maximum extent through broadcasting the authentication result, and the operating efficiency of the whole vehicular ad hoc network is improved.

The invention relates to a method for water inrush prediction and seepage control for underwater-tunnel broken surrounding rocks. The method includes the steps of S1), exploring by adopting a geophysical exploration and advanced-level geological drilling method and performing tests; S2), establishing a saltation prediction model of analytic hierarchy grey correlation of water inrush of the surrounding rocks by adopting an analytic hierarchy grey correlation method; S3), establishing a three-dimensional porous continuous medium fluid-structure coupled finite element model of the underwater-tunnel broken surrounding rocks by adopting an orthogonal back-analysis method; S4), performing dynamic prediction and seepage control on water inflow of the broken surrounding rocks and performing intelligent fuzzy logic control and instability early-warning forecast on high-pressure water inrush of the broken surrounding rocks; S5), adopting comprehensive prevention and control measures. Compared with the prior art, the method has the advantages that instability of water inrush of the underwater-tunnel broken surrounding rocks under high water pressure can be predicted and subjected to economical, reasonable, safe and reliable comprehensive seepage control.

The invention discloses an online calibration method of a star sensor assisted gyroscope for ships, and relates to the technical field of inertial sensor error calibration in inertial navigation. Theonline calibration method comprises following steps: (1) initializing a star sensor / inertia combined navigation system; (2) collecting the output data of an inertia device and a star sensor; (3) calculating the inertia device to obtain attitude quaternion and navigation information; (4) obtaining the real value of the carrier attitude quaternion; (5) utilizing a fuzzy logic control method to determine the forgetting factor of a simplified Sage-Husa adaptive filtering method, and then subjecting the carrier attitude quaternion information to filter calculation; (6) compensating the gyroscope output angular velocity information based on the gyroscope output error, and carrying out navigation calculation; and (7) storing and outputting navigation information. The applicability of online calibration on the star sensor assisted gyroscope in a complicated environment is improved. The problem that the estimate on noise error is not sufficient in measurement is solved. The attitude precision of a star sensor is effectively improved.

The invention belongs to the technical field of hybrid vehicle energy management. An intelligent energy management and control method for a hybrid vehicle comprises the following steps: (1) establishing a torque equation required at a ring gear, combining a vehicle speed condition, a throttle opening degree and an acceleration value in the current state to obtain a logic threshold control method and selecting a working mode for the hybrid vehicle according to an SoC threshold of a power battery of the entire vehicle, a vehicle speed threshold and a torque threshold in the current situation; (2) building a power battery low SoC threshold calculation model in software based on a fuzzy logic control method and establishing a hybrid vehicle energy management and control model based on a logicthreshold; (3) controlling the state output of power components based on the hybrid vehicle energy management and control model and according to torque distribution. The intelligent energy managementand control method for the hybrid vehicle uses the variable logic threshold so that a torque distribution strategy can better reflect the characteristics of vehicle working conditions, thereby realizing driving intentions, improving the economical efficiency of vehicle fuel and prolonging the service life of the power battery.

The invention discloses a vehicle-mounted composite power supply system of an electric vehicle and a control method. Through a voltage and current acquisition circuit, a voltage value and a current value of a motor inverter end, and voltage values of a battery set and a supercapacitor are obtained, and the processed to obtain required power, battery set SOC and supercapacitor SOC, which are used as decision-making input variables of a fuzzy logic control module. According to actual operation working conditions of the electric vehicle, a proper logic threshold value control strategy is formulated and by use of fuzzy control, fuzzification is performed on fixed rule parameters in a logic threshold, so rules are further refined, control thinking is further precise and results are further optimized. Compared with real-time power, the peak value of actual average power and the switching frequency are greatly reduced. By combining the power hysteresis control, the switching frequency of working modes of the system and the output frequency of the battery set are further improved, energy loss, caused by mode switching, of a vehicle-mounted double-energy system is reduced, service lifetime of the battery set is prolonged and efficiency and stability of the system are improved.

A controller for a variable air volume terminal of a variable air volume air conditioning system which comprises a temperature sensing circuitry for generating a temperature process value, a setpoint determining circuitry for establishing a temperature setpoint, an airflow signal circuitry for generating an airflow setpoint in response to the temperature process value and the temperature setpoint. A flow sensing circuitry for generating a flow process value in response to a predetermined set of flow sensing inputs and damper control circuitry for generating a damper motor operation signal to control the damper motor in response to the flow process value and the airflow setpoint. The damper control circuitry comprises a fuzzy logic control mechanism for implementing a set of fuzzy logic rule-based instructions in generating the damper motor operating signal.

The invention discloses a PID (proportion, integral, derivative)-type?fuzzy logic control method based on a weight rule table. The method comprises the following steps: 1) a PID?signal conversion unit carries out conversion on given signals and feedback signals; 2) a fuzzy set is built and the weight value of each fuzzy description variable is defined; 3) the attribution ratio of each fuzzy description variable is determined; 4) the attribution ratio of each fuzzy description variable is multiplied by the corresponding weight value of the fuzzy description variable and adding is carried out to obtain adding signals; 5) the adding signals are outputted to a control operation unit; 6) the control operation unit outputs the signals to an execution unit for execution, and the feedback signals are acquired to the PID?signal conversion unit; 7) step 1 to step 6 are repeated until the given signals are equal to the feedback signals. According to the PID (proportion, integral, derivative)-type?fuzzy logic control method based on the weight rule table, a traditional and complicated fuzzy rule table is replaced by the simple weight rule table, such that expert experience can be presented more simply and intuitively; the entire control method is optimized in no need of a defuzzification?unit; and minimal?overshoot and?oscillation exist in the control process.

The invention discloses a water-saving irrigation method and system based on a fuzzy logic control theory. The water-saving irrigation method comprises the following steps of 1, acquiring first growthinformation data of crops in a current stage; comparing the first growth information data with a fuzzy control rule table to inquire the water amount required by the crops in the current stage; judging whether or not the required water amount is greater than the minimum value of the soil water content in the current stage; if yes, calculating the water irrigation amount required by the crops andsending an irrigation instruction; waking up terminal nodes in a dormant state to irrigate the crops; judging whether or not the soil humidity in the current area reaches the water irrigation amount in real time; if yes, driving the corresponding terminal nodes to stop irrigation and switching the terminal nodes into the dormant state, or if not, enabling the corresponding terminal nodes to continue irrigation. According to the system, quantitative irrigation is carried out according to the actual demands of the crops, the phenomenon of water resource waste is effectively avoided, and the utilization rate of irrigation water is increased.

The invention discloses a system and a method for controlling the membrane-base reflecting mirror surface shape. The system comprises a standard reflecting mirror surface shape designing module, an emulational analyzing module, a reflecting mirror surface shape monitoring module, a fuzzy logic controlling module, a reflecting mirror surface shape controlling actuator and a reflecting mirror surface shape feeding back module. The aperture and the F number of a membrane-base reflecting mirror needed for design are used as the parameters and the Zernike polynomial coefficient form is adopted to determine the standard reflecting mirror surface shape parameter; the real-time membrane-base reflecting mirror surface shape is detected; the errors of the arc rises for the central cross sections of both a membrane-base reflecting mirror and a standard reflecting mirror are used as control variables, and the control variables are processed by a fuzzy logic controller; the voltage needed for forming the membrane-base reflecting mirror is outputted; and the membrane-base reflecting mirror surface shape is changed with the electrostatic method. The invention adopts the emulational reflecting mirror surface shape control analysis based on the finite-element analysis method to predict the reflecting mirror surface shape control effect, optimize the fuzzy control rule base and reduce the difficulty of designing the fuzzy logic controller. The method provides the technological base for the effective membrane-base reflecting mirror surface shape.

In methods and apparatus for controlling multi-layer communications networks, data characterizing activity and state of the network and external demands made on the network by customer requests at at least two Layers is collected. The collected data are processed in accordance with a dynamic policy to determine that a reconfiguration of at least one Layer of the at least two Layers is favourable, and to determine a favoured reconfiguration of the at least one Layer. The collected data are processed in accordance with a dynamic policy to determine a favoured selection of customer demands on the network to be accepted. Implementation of the favoured reconfiguration and favoured admission is initiated. The resulting network behaviour is observed and the dynamic policy is adjusted to increase its ability to find favourable reconfiguration and call admission actions. The Layers may, for example, be a Layer 3 packet data service, such as Internet Protocol service, and layers below Layer 3 including one or more Layer 2 path-oriented service and one or more Layer 1 transport services. The reconfiguration of all Layers depends on information received from all Layers. Rapid reconfiguration of the Layer 2 and Layer 1 equipment and rapid decisions on the acceptance or rejection of customer demands based on data collected from all Layers reduces over-provisioning of the network needed to meet difficult-to-predict traffic patterns and loss of revenue due to inability to serve traffic with the current network configuration. A Fuzzy Logic control algorithm with policy tuning by temporal difference Reinforcement algorithms is described.

A method of 5G / WLAN vertical handover based on fuzzy logic control, the method including: 1) obtaining, by a mobile node, dynamic access-network information from a database of access network discovery and selection function; 2) from the obtained dynamic access-network information, sorting out and selecting an RSS, an available bandwidth, and a degree of user's preference for WLAN as performance parameters, and monitoring a real-time status of networks; 3) when the real-time status of the networks satisfies mandatory user-defined rules, executing a typical handover directly according to the user-defined rules; when the real-time status of the networks does not satisfy mandatory user-defined rules, triggering a vertical handover-decision procedure based on a fuzz logic mode; and 4) conducting adjustment and control, by the MN, by dynamically updating access-network information, changing rules and varying membership functions.

A boost table stores adjusted target levels for pairs of original and target pixel levels. The adjusted target levels can be used to as a substitute for the target pixel level to improve pixel response in reaching the desired target pixel level. A reduced boost table can be used, storing a subset of the adjusted target levels. Fuzzy logic control rules can be used to calculate adjusted target levels not actually stored in the reduced boost table.

A kite system includes a kite and a ground station. The ground station includes a sensor that can be utilized to determine an angular position and velocity of the kite relative to the ground station. A controller utilizes a fuzzy logic control system to autonomously fly the kite. The system may include a ground station having powered winding units that generate power as the lines to the kite are unreeled. The control system may be configured to fly the kite in a crosswind trajectory to increase line tension for power generation. The sensors for determining the position of the kite are preferably ground-based.

Provided is a robot optimal itineration control method satisfying complex requirements. The method comprises six steps of establishing a weighting switching system, establishing a task chart of a Buchi automata, establishing task feasible network topology of a Product automata, searching an optimal path, performing fuzzy logic control, and feeding back pose information. The method comprises: firstly, based on linear temporal logic, combining with robot operation environment information, programming the optimal path satisfying task requirements; and then, by using a fuzzy control strategy, combining with present position coordinate and orientation information of the robot fed back in real time, according to angular deviation [alpha] and distance deviation d between a present mobile robot and a target point, giving controlled quantities of speed vl and vr of a left wheel and a right wheel of the robot, so as to realize optimal path tracking control. The method can plan the optimal path which conforms to robot operation environment and satisfies complex itineration task requirements, and the method can effectively control the robot to realize optimal path tracking, so as to complete appointed tasks.

A level control algorithm for an HVAC refrigeration system is provided. The control algorithm utilizes a fuzzy logic methodology to automatically adjust a flow of refrigerant in the system to maintain a desired liquid level in the condenser. The fuzzy logic methodology incorporates a plurality of fuzzy logic control algorithms each having different membership functions and other control parameters that can provide different degrees of level control in the condenser. A particular fuzzy logic control algorithm is selected based on the amount a measured liquid level in the condenser deviates from the desired liquid level in the condenser.

An adaptive front-lighting system is provided for a vehicle, such as a passenger car, truck, or tractor trailer. A plurality of LED light sources on the vehicle have a projection pattern for exterior illumination to supplement a main beam from a main light source. A power supply drives the LED light sources according to a driving signal having a magnitude between a minimum driving signal and a maximum driving signal, wherein the LED light sources sequentially illuminate in response to the magnitude of the driving signal. A speed sensor characterizes an instantaneous vehicle speed. A turn sensor characterizes an instantaneous turning radius. A fuzzy controller generates the driving signal in response to the instantaneous vehicle speed and the instantaneous turning radius based on a fuzzy model. The fuzzy model is characterized by a plurality of empirically-derived fuzzy rules that define discontinuous values and by a plurality of modified consequents that produce a substantially continuous output.

The invention provides a novel control method combining fuzzy logic control with gain auto-tuning sliding mode control. A control error signal e(t) from the detection mechanism and an error change signal ce(t) are combined together as a sliding variable s(t)=ce(t)+λe(t) and used as the fuzzy input control variable. Using the control method, 2D fuzzy control rule is simplified into 1D fuzzy control rule through the sliding variable definition for enhancing the efficiency of computation and saving computation resources. Accordingly, both the quick transient response and steady state precision positioning can be achieved. The present method can overcome the disadvantages of current controller, which can not reach the desired transient and steady state responses simultaneously.

The invention relates to a dynamic regulation method for expressway toll stations and surrounding intersection groups. The method comprises the steps of dividing an overall road network of the expressway entrance and exit ramps, the toll stations and the surrounding intersection groups into: key subareas of the entrance and exit ramps and the toll stations and connected intersections and other intersection group subareas around the toll stations; establishing a self-adaptive cooperative control mechanism between the toll stations and the connected intersections at the toll station and connected intersection subareas and establishing a fuzzy logic control mechanism in the intersection groups in the other surrounding intersection group subareas; and calling a toll station traffic capacity regulating model to realize the dynamic adjustment of the actual traffic capacity of entrance and exit toll channels. The method disclosed by the invention has the beneficial effects that a cooperativecontrol model for dynamically changing the traffic rate of the expressway toll stations and the intersection groups according to different traffic states and an self-adaptive regulation model for dynamically changing the traffic capacity of the entrance and exit toll channels are firstly proposed; and the method is suitable for the cooperative control of regional road networks of the expressway toll stations and the surrounding intersection groups.

A region-of-interest (ROI) video-coding method and apparatus based on fuzzy logic control for a video encoder is provided. Providing an image having a plurality of region-of-interest regions and a plurality of non-region-of-interest regions, the first step is to separate the region-of-interest regions and the non-region-of-interest regions from the image. Then by sending an input from the region-of-interest regions to a fuzzy logic control, in which the fuzzy logic control performs fuzzy manipulations that enhances the quality of the region-of-interest regions, and thereof the overall quality of an output image. The method and apparatus are particularly useful in videophone and videoconferencing.