121 results about "Set point" patented technology

The invention discloses a multi-robot affine formation path optimization method driven by a virtual navigator, and the method comprises the steps: firstly setting a point set composed of the virtual navigator and followers, enabling the virtual navigator to form a convex hull and meet an affine localization condition, so as to guarantee that the followers are always located in the convex hull; generating a collision-free reference trajectory of the mass center of the virtual navigator based on a fast random tree algorithm; constructing a nonlinear constraint optimization problem NCO which contains linear transformation constraint and meets smoothness, obstacle avoidance, speed and angular speed constraint; and establishing a communication graph of the virtual navigator and the follower, calculating balance stress, designing a smoother follower distributed differential speed control law, and realizing formation path optimization and obstacle avoidance control. Compared with an existing method, the formation path generation method has the advantages that the smooth and stable formation path fitting the reference trajectory can be generated while obstacle avoidance and physical feasibility are guaranteed, and the cooperative motion capability and the control performance of a multi-robot system in a complex environment are improved.

A computing system for functional integration with a distributed power grid having one or more inverters. The computing system includes processing device(s) to control operation of an inverter by executing a feedback controller with a grid-tied line, of the distributed power grid, treated as a plant and including a unified algebraic control system operating based on a pair of closed-loop variables carried in closed-loop signals of the unified algebraic control system. The processing device(s) control, using the feedback controller, transitions of the inverter between a plurality of operating modes by adjusting a magnitude of the closed-loop signals, which correspond to the pair of closed-loop variables, towards a setpoint of a plurality of setpoints. Each setpoint corresponds to a different operating mode of the plurality of operating modes.

The invention relates to a method for automated docking of a stationary part (1) with a movable part (2) capable of being moved towards the stationary part by a robot (3), the stationary part (1) and the movable part (2) each comprising an end (4, 5), the two ends forming a docking interface (6). The method comprises the steps of positioning of multiple profilometers around the docking interface so that the docking interface is located in the field of view of the profilometers, determination of a target profile of the end of the movable part, measurement of a profile of the end of the movable part by the profilometers, comparison of the target profile and the measured profile, generating a speed setpoint in the measurement space, and movement of the movable part towards the stationary part (1) by the robot (3) on the basis of this speed setpoint.

The present invention relates to a method for operating a hydrostatic drive system of a mobile working machine, wherein the hydrostatic drive system comprises a hydraulic pump (12) with adjustable delivery volume and at least one hydraulic motor (3) connected to each other in a hydraulic circuit, wherein the hydraulic pump (12) is driven by a drive motor and the at least one hydraulic motor (3) is configured to drive a wheel of the mobile working machine, characterized in that the method comprises the following steps: a) Determining a speed that corresponds to the actual speed of the mobile working machine or to a quantity dependent on it; b) Determining a target speed value that represents a target value for the speed recorded in step a); c) Control of the speed recorded in step a) taking into account the speed setpoint determined in step b) by changing a control variable for the hydraulic pump (12) while a defined speed of the drive motor is requested; d) Increasing the load exerted on the drive motor by the drive system, while in step c) the speed is regulated; e) Storing the current value of the control variable for the hydraulic pump (12) when, during the increase of the load in step d), it is determined that an operating variable of the drive motor or an operating variable of the hydrostatic drive has reached a first target value.

A method for controlling a flow regulating valve (6) of a filling machine (1) forming composite packages (2) from a multilayer composite packaging material and filling the composite packages with a pourable filling product, wherein a position of the regulating valve controls the flow of the product filling the packages, the method envisages: implementing a flow feedback control, receiving a flow set point (FSP) and an inlet flow measurement (FIN) and generating a feedback control contribution (CFB) indicative of a difference between the inlet flow measurement and the flow set point; implementing a flow feed-forward control, receiving the flow set point (FSP) and generating a feedforward control contribution (CFF) using fluid-dynamic maps, which map an output position of the regulating valve with respect to flow and pressure values of the filling product; generating a virtual pressure (PV) based on the feedback control contribution (CFB) generated at the output of the flow feedback control module, wherein the flow feed-forward control receives the virtual pressure (PV) and generates at its output the feedforward control contribution (CFF) based on the flow set point (FSP) and the virtual pressure (PV) using the fluid-dynamic maps. The feedforward control contribution (CFF) determines a control signal (Sc) for adjusting an operating position of the flow regulating valve (6).

To condition an operating medium in a test object circuit (PK) of a test object (P) on a test bench to a desired temperature as quickly as possible, the invention proposes providing a mixing unit (3), there being provided, in the mixing unit (3), a mixing region (28) in which operating medium of the test object circuit (PK) can be mixed with preconditioned operating medium from a conditioning circuit (KK) in order to condition the operating medium in the test object circuit (PK) to the predefined setpoint temperature (T_SOLL), there being provided, on the mixing unit (3), for the fluidic integration of the mixing unit (3) in the test object circuit (PK), at least one test object circuit supply connection (26a) and at least one test object circuit outlet connection (26b) which are fluidically connected to one another via the mixing region (28) in order to form a part of the test object circuit (PK), there being provided, on the mixing unit (3), for connection of the mixing unit (3) to a conditioning unit (2) of the conditioning system (1), at least one conditioning unit supply connection (27a) and at least one conditioning unit return connection (27b) which are fluidically connected to one another via the mixing region (28) in order to form a part of the conditioning circuit (KK) for the operating medium.

This invention provides a collaborative control method for multiple bottleneck ramps and connecting road networks on expressways based on feedback control. This method treats the entire expressway mainline and each sub-region of the urban road network as continuous entities that can be represented by a macroscopic basic graph model, constructing a feedback control system based on real-time traffic detection data. The entire expressway mainline adopts dynamic pre-set point proportional-integral (PI) feedback control based on the macroscopic basic graph, while each urban road network unit adopts classical PI feedback control. The method includes the following steps: S1, construction of the research object and control unit; S2, traffic state parameters and model assumptions; S3, construction of the upper-level control framework; S4, feedback control decision system based on the macroscopic basic graph; S5, allocation and execution of the lower-level control total flow in individual control objects. The method proposed in this invention utilizes a simple and highly robust macroscopic basic graph to efficiently achieve collaborative control of large-scale expressways and urban road networks, thereby improving the overall traffic efficiency of the transportation system and providing a feasible new approach for urban traffic congestion management.

The invention relates to a method for optimizing the energy consumption of a motor vehicle comprising a battery (30), an internal combustion engine (M), an electric machine (ME), a plurality of devices, each characterized by at least one state variable, and a computer (40) capable of controlling the internal combustion engine (M) and the electric machine (ME),said method being notable in that it comprises the steps of:a) defining a prediction period,b) determining the maximum theoretical variation of each state variable over the prediction period,c) determining the range of applicable setpoints in which each setpoint value is selected so that the variation of each state variable satisfies the maximum theoretical variation thereof,d) determining the value of an internal combustion setpoint and the value of an electric setpoint, in the range of applicable setpoints, for which the Hamiltonian function is lowest.

The present invention provides a method for improving the operational behavior of a fluid-driven process, particularly in gas and steam turbines, using a control system. It utilizes the following steps: - Specifying a particular position target value or position target value range and - Switching the drive from a position holding mode to a force holding mode after specifying the position setpoint or position setpoint range or digital signal without considering an actual position value. In an alternative embodiment, the steps of defining a threshold value from measurable values ​​regarding position, pressure, current, torque, or force in a valve in a fluid-driven process and operating a valve actuator in alternating control between two or more manipulated variables are used from the manipulated variables determined in the previous step, preferably using the minimum value from the determined manipulated variables. The invention also provides a device for carrying out at least one of these methods.

The invention provides a control device, wherein a controller is configured to automatically drive an actuator with an interpretation value. The control device has a controller configured to drive an actuator. The control device further comprises a setpoint controller configured to utilize a deviation between a machine-learned interpretation value and a machine-learned standard interpretation value. The setpoint controller forms a setpoint value for the controller.

A system for operating a cooling device of a utility vehicle includes an axial fan, a temperature sensor, and a control unit. The axial fan can be rotated by a fan drive and is used to generate a cooling air stream for impingement on a vehicle assembly that is to be cooled. The axial fan has a plurality of fan blades that can be pivoted in terms of an angle of incidence by deflection of an actuator. The temperature sensor determines an actual value of a temperature variable that reflects a present operating temperature of the vehicle assembly. The control unit compares the actual value of the temperature variable with a specified setpoint value to output a target value of a control variable provided for the operation of the actuator. The control variable is one of a hydraulic and a pneumatic operation pressure for deflecting the actuator.

The invention relates to a method for autonomously controlling a steering control actuator of an automotive device (10), comprising steps of: - acquiring a desired trajectory (T0) for the device, - acquiring parameters relating to said trajectory and / or said device, and - calculating an actuator control setpoint as a function of said parameters, by means of a global controller. According to the invention, the global controller is determined on the basis of two elementary controllers, one of which guarantees better trajectory tracking than the other, and a weighting coefficient of at least one of the two elementary controllers.

A method for preventing a collision between sections of a test board (3) movable relative to each other in a test board system (1) is disclosed and described, the method comprising the steps of: providing a simulation model (19) representing the test board (3) and the sections of the test board (3) movable relative to each other, a setpoint value for movement of a first section of the test board (3) is determined, a simulated first section representing the first section of the test board (3) is moved based on the determined setpoint value, a distance between the simulated first section and a simulated second section of the test board (3) representing a second section of the test board (3) is determined, the determined distance is compared to a specified minimum distance, and when the determined distance is equal to or greater than the specified minimum distance, the first section of the test bench (3) is moved based on the determined setpoint value. In addition, corresponding test bench systems, computer programs, and computer-readable storage media are disclosed and described.

A computer-implemented method and / or system for controlling a material handler comprises: processing, by an electronic control unit (ECU), a plurality of electronic input signals from at least one joystick; determining an adjustment for at least one of a pair of solenoids based on at least the plurality of electronic input signals from the joystick; controlling the pair of solenoids by the ECU and each solenoid acting in opposition to each of a pair of biasing elements of an open-center directional control valve to move the directional control valve to an extension position or a retraction position from a central position; determining a setpoint buildup pressure for a central passageway of the directional control valve; and actuating a constrictive solenoid of a pressure buildup valve to constrict the central passageway based on the setpoint buildup pressure whereby the constrictive passageway increases a pressure in the central passageway of the directional control valve.

The embodiment of the invention provides a multi-motor control method and device for a seat, electronic equipment and a storage medium. The method comprises the following steps: constructing a dynamic characteristic equation of a multi-motor system of a seat based on current running data of a vehicle and body shape information of a passenger on the seat; the multi-motor system comprises a plurality of motors; for each motor, determining a plurality of candidate set point sequences of the motor based on the dynamic characteristic equation of the motor; determining the comprehensive fitness of the plurality of candidate set point sequences of the motor, and determining a target set point sequence in the plurality of candidate set point sequences according to the comprehensive fitness; the target set point sequence comprises a target rotating speed and a target position of the motor; and controlling the multi-motor system according to the target rotating speeds and the target positions of the plurality of motors. The method is used for cooperatively controlling a multi-motor system of the seat in a self-adaptive manner according to an actual application scene, so that the adjustment of the seat conforms to the actual application scene.

The invention provides a control arrangement where the controller is arranged to drive the actuator utilizing automatically the explanation values. The control arrangement has a controller, which is arranged to drive an actuator. The control arrangement comprises also a setpoint controller, which is arranged to utilize deviations between explanation values of machine learning and normal explanation values of machine learning. The setpoint controller forms a setpoint value for the controller.

An apparatus for estimating the electromagnetic torque of a three-phase synchronous motor including permanent magnets, comprising: a first flux estimator (10) including two electromotive force integrators (103) for estimating corresponding components of the flux in a fixed two-phase coordinate system associated with the stator; an estimator (20) for estimating the torque from the corresponding estimated flux components; a second flux estimator (40) using current expressed in a rotating two-phase reference system associated with the rotor, the second flux estimator having an observer for determining variables characterizing magnetic uncertainties of the motor in order to correct the flux estimation of the second estimator; and a detector (30) for generating a signal (RES) for resetting the initial flux conditions of the two integrators based on the flux estimation performed by the second estimator when the difference between the estimated torque and the setpoint torque is higher than a predefined threshold.

The invention discloses a composite network attack train control method, device and equipment, a medium and a product. The method comprises the following steps: acquiring a first running speed and first channel communication data of a train; based on the first channel communication data, judging whether a DoS attack aiming at the transmission of the first set point occurs in the train or not, and if so, compensating the first set point to obtain a second set point; a first traction control instruction is generated based on the second set point and the first running speed, a second running speed of the train at the next moment is obtained through prediction in combination with the discrete nonlinear model, then data reconstruction is conducted on the second running speed to obtain a third running speed, and whether the FD I attack aiming at transmission of the second running speed occurs or not is judged according to the third running speed; if yes, taking the speed as a fourth operation speed after compensation of the FD I attack until a preset iteration termination condition is met, and obtaining a target operation speed; and controlling the train based on the target running speed. The control precision of the train under the composite network attack can be improved.

The invention discloses a double-set-value pressure controller capable of being used for measuring negative pressure, and relates to the field of pressure controllers, the double-set-value pressure controller comprises a shell body, a lower cover, a plurality of groups of trigger units and a plurality of groups of connecting units, a mutually independent double-cavity structure is formed in the shell body, and a group of microswitches is arranged in each cavity; the terminal strips are connected to different power supplies and control systems to realize redundancy control of physical isolation; different power supplies and different systems are respectively connected through the terminal strips, and the two groups of completely independent terminal strips are physically isolated from contacts, cables to power supply and signal receiving systems, so that the common cause fault of safety function failure caused by single power supply fault or single system fault is avoided, and when power failure occurs, the power supply is switched off by depending on a pure mechanical principle. Work can be executed without external power supply, the microswitch is directly driven to act by means of pressure, safety interlocking is completed, and the power-off protection function is achieved.

A method is described for controlling a plurality of joining stations arranged in series in a motor vehicle production plant and for producing at least partially based on joining parameter setpoints, wherein at least one measured value is recorded on a produced or partially produced motor vehicle, which is compared with at least one corresponding setpoint, whereby a deviation of the measured value from the setpoint is determined, wherein if at least one deviation is greater than a permissible tolerance, the joining parameter setpoints of two or more than two joining stations are adjusted depending on the measured value and / or the deviation, wherein a relationship between the at least one measured value and / or the at least one deviation is established by a correlation algorithm.where the joining parameter setpoints are adjusted taking into account the correlation algorithm, and the correlation algorithm is a kinematic matrix.

The utility model provides a relative displacement automatic control mechanism for main linear motion corollary equipment, which comprises an association signal module for transmitting set point relative position coordinates of a main motion carrier and the corollary equipment in real time; the control module is used for respectively controlling the main motion carrier and the corollary equipment by setting corresponding control units; the main motion carrier and the corollary equipment which are linked with each other are connected through a logic chain to form combined control; monitoring the variation of the relative position coordinates according to the monitoring units in a respective or mutual linkage manner; the control module is further provided with a safety protection unit, and safety protection is achieved on the power driving module through the control unit according to monitoring of the monitoring unit. And the power driving module is used for single-axis / multi-axis linkage control of the main motion carrier and the corollary equipment. According to the setting rule of the on-off control unit and the combined control of the logic chain, the relative displacement control precision of the main motion carrier and the corollary equipment is ensured, and the requirements of high precision and assembly are met.

A roadway simulator (10; 100;150;202;204;206;208;214;300) includes a first roller (12), a second roller (14) spaced from the first roller (12) and a continuous belt (16;302) positioned about the first roller (12) and the second roller (14). The roadway simulator (10; 100;150; 202;204;206;208;214;300) includes an energy source (24;102;152;154;318) configured to impart energy into the continuous belt (16;302) to heat or cool the continuous belt (16;302) and a temperature sensor (40;104;320;322) configured to provide a signal relating to a sensed temperature of the continuous belt (16;302). The roadway simulator (10;100;150) includes a controller (44;324) configured to receive the signal from the temperature sensor (40;104;320;322), determine an error between the sensed temperature on the continuous belt (16;302) and a setpoint and send a signal to the energy source (24;102;154) to adjust an amount of heat or cooling imparted into the continuous belt (16;302) based upon the determined error.

Method for model-based control of an internal combustion engine (1), - in which, during normal operation, the injection system setpoints for controlling the injection system actuators are calculated via an adaptable combustion model (3) depending on the specified values ​​for the operation of the internal combustion engine (1), - in which an optimizer (6) calculates a quality measure at least as a function of the injection system setpoints, - the optimizer (6) minimizes the quality measure by changing at least the injection system setpoints within a prediction horizon and - in which the injection system setpoints for adjusting the operating point of the internal combustion engine (1) are specified by the optimizer (6) on the basis of the minimized quality measure (J(MIN)), characterized in that - in stationary operation, the system cyclically switches from normal operation to exploration mode, - in exploration operations, an exploration quality measure (J(EXP)) is calculated as a function of the combustion model (3) and its variance (VAR), - the control variables of the internal combustion engine resulting from the exploration quality measure (J(EXP)) are specified for setting the operating point of the internal combustion engine, and - the combustion model (3) is adjusted based on the operating parameters of the internal combustion engine and the system switches back to normal operation.

An energy management system (102) for an electric vehicle (100), the energy management system comprising: a rechargeable energy storage system (104), RESS (104); an HVAC subsystem (116), comprising: a local HVAC processor (118); at least one HVAC memory (120) containing instructions that can be executed by the local HVAC processor (118) such that the local HVAC processor (118) is programmed to generate a nominal signal associated with a request for basic power input from the RESS (104); an HVAC actuator (122) that is capable of generating a target output over a predetermined period of time in response to the HVAC actuator (122) receiving the basic power input from the RESS (104); a propulsion subsystem (136), comprising: a local drive processor (138); at least one drive memory (140) that stores instructions executable by the local drive processor (138), such that the local drive processor (138) is programmed to generate a drive signal associated with a request for drive power obtained from the RESS (104); and a monitoring computer (146) comprising: a monitoring processor (148); and a monitoring memory (150) containing instructions so that the monitoring processor (148) is programmed to: to determine a value function V based on a multitude of actions U in a multitude of states S; and to select an action associated with the highest reward value (R) corresponding to the value function V; where at least one of the actions U includes an HVAC subsystem variable; wherein at least one of the states S comprises at least one of the states selected from the group consisting of the drive power to operate the drive subsystem (136), a base power input to operate the HVAC subsystem (116), a nominal reference cabin heat input setpoint determined by the local HVAC processor (118), an electric vehicle acceleration (100), a current vehicle speed, an average vehicle speed, and a calibrated estimate of the electric vehicle average speed (100); where the HVAC actuator (122) is configured to actuate an HVAC component (124) which is configured: to operate with an initial efficiency to generate an initial output when the electric vehicle (100) is in an initial state and the HVAC component (124) receives an initial power input from the RESS (104); to operate with a second efficiency to generate a second output when the electric vehicle (100) is in a second state and the HVAC component (124) receives a second power input from the RESS (104); and to generate the target output in response to the HVAC actuator (122) receiving a modulation between the first power input and the second power input over the predetermined time period, and wherein the second efficiency is higher than the first efficiency, such that an electrical power associated with the modulation between the first power input and the second power input over the predetermined time period is lower than the electrical power associated with the base power input over the predetermined time period; and wherein the selection by the monitoring processor (148) of the action associated with the highest reward value (R) includes the generation of a modulated power signal by the monitoring processor (148) in response to the monitoring processor (148) receiving the nominal signal from the local HVAC processor (118), and wherein the local HVAC processor (118) modulates between the first power input and the second power input in response to the local HVAC processor (118) receiving the modulated signal from the monitoring processor (148).

The invention relates to a method for the adaptive observation of a system at a time t, the system comprising:-a set of inputs comprising the control setpoint ut and modeled in the form of vectors: Ut; -a set of output quantities, the set of output quantities being modeled in the form of vectors: Yt; and-a set of quantities representing the state of the system, the set of quantities modeled in the form of vectors: xt; the method is implemented in a computing unit and comprises: a first step E1 of programming a set of linear differential equations relating to the input, the system state and the output; a step E2 of determining a slow-varying parameter; and-an adaptive observation step E3 comprising numerical calculation of the quantity xt of the system state at the moment t by solving the set of linear differential equations.

A method (400) for controlling a hydraulic oil pressure pump (212) for generating a hydraulic pressure in a movement cylinder or an injection cylinder of an injection moulding station (102) of a packaging machine (100) is illustrated. The method comprises obtaining (402) shape data (206) pertaining to a shape of a package (104) produced by the packaging machine (100), determining (404) a setpoint oil pressure value based on the shape data (206), obtaining (406) an actual oil pressure value (218) by using a pressure sensor (312), determining (408) control data (210) pertaining to a speed of the hydraulic oil pressure pump (212) based on the set point oil pressure value and the actual oil pressure value (218), and transmitting (410) the control data to the hydraulic oil pressure pump (212).

Systems and methods to facilitate selection and operation of different variable flow control mechanical devices and equipment for a specific system capacity having variable load. An example method includes: determining a load profile of the variable load; determining a design setpoint of the variable load; determining one or more candidate variable flow control mechanical devices, such as control pumps or control valves, which have a differential capability from the design setpoint; determining, for each of the one or more candidate variable flow control mechanical devices, one or more candidate equipment that are fulfilled by the differential capability; and calculating a respective cost of combinations of the one or more candidate variable flow control mechanical devices and the one or more candidate equipment operating together according to the load profile and the one or more candidate variable flow control mechanical devices operating at the differential capability from the design setpoint.

The present invention automatically generates highly precise mechanical feature information during the generation of mechanical feature information. This mechanical feature information generation device for generating mechanical feature information relating to a control target of a feedback control comprises: a measurement extraction unit that analyzes time series data, including a position or a first or higher differential value of the position, as well as a thrust, torque, or electrical current from at least one setpoint and a feedback value acquired during operation of the control target, and extracts a measurement value required for generating the mechanical feature information;A mechanical feature information generation unit that generates mechanical feature information based on the measured value and the control parameters, which include servo gain for controlling the control target and at least one of the specifications of the control target; and an output unit that outputs the mechanical feature information.

Predicting the reference motion trajectory of a moving unit is, in the prior art, associated with high resource expenditure in terms of computing power and computation time, and the perceived insufficient validity of the calculations presents a challenge. The object of the present invention is to improve the prediction of a reference motion trajectory of a moving unit. To this end, a method, particularly a computer-implemented one, is proposed, which is designed to determine a steering setpoint for tracking a reference trajectory of a moving unit, comprising the following steps: - Steering angle sampling (SAS), wherein the steering angle sampling is an adaptive sampling of the steering angles, such that a steering angle space F(w) is adaptively discretized, wherein the sampling is denser in the vicinity of a previous steering angle input than further away from the previous steering angle input; - Outputting a set of possible steering angle control values ​​to a prediction model, wherein the prediction model is designed to predict a steering effort that can be expected with the respective possible steering angle control values; - Predictions of the steering effort by the prediction model, which can be expected with the respective possible steering angle settings; and - Evaluation of a cost function that includes the prediction of the steering effort to be expected with the respective possible steering angle settings, wherein the cost function is designed to determine a steering angle setting at which the steering effort becomes minimal.

A method for controlling the tool face angle of a rotary steerable system inside a well. The tool face angle is mainly controlled through the determination of the duty cycle of an AC Machine, producing its torque. The controlling duty cycle of the AC Machine is determined through the summing of a duty cycle set point with one or more duty cycle corrective values, using a Pulse Width Modulation technique. The duty cycle corrective values use different cut-off frequencies and update frequencies to accommodate the non-linearity and asymmetry of the system response. The method can also be used for controlling the angular rate of the rotary steerable system.