727 results about "Optimum control" patented technology

A neurological control system for modulating activity of any component or structure comprising the entirety or portion of the nervous system, or any structure interfaced thereto, generally referred to herein as a “nervous system component.” The neurological control system generates neural modulation signals delivered to a nervous system component through one or more intracranial (IC) stimulating electrodes in accordance with treatment parameters. Such treatment parameters may be derived from a neural response to previously delivered neural modulation signals sensed by one or more sensors, each configured to sense a particular characteristic indicative of a neurological or psychiatric condition.

A home control system using galvanic skin responses and heart rate information and a method thereof. Whether a user is awake is judged using a galvanic skin response sensor, and the extent of stress of a user is determined using the user's heart rate, thereby extracting a user's emotional state and sleeping state. Furthermore, based on these, various systems in the home network of a user are controlled according to the user's emotional state and sleeping state. In addition, those control results are stored in a database so as to create the optimum control conditions.

A neurological control system for modulating activity of any component or structure comprising the entirety or portion of the nervous system, or any structure interfaced thereto, generally referred to herein as a “nervous system component.” The neurological control system generates neural modulation signals delivered to a nervous system component through one or more intracranial (IC) stimulating electrodes in accordance with treatment parameters. Such treatment parameters may be derived from a neural response to previously delivered neural modulation signals sensed by one or more sensors, each configured to sense a particular characteristic indicative of a neurological or psychiatric condition.

An MPC adaptation and tuning technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC adaptation/tuning technique that performs better than traditional MPC techniques in the presence of process model mismatch. The MPC controller performance is enhanced by adding a controller adaptation/tuning unit to an MPC controller, which adaptation/tuning unit implements an optimization routine to determine the best or most optimal set of controller design and/or tuning parameters to use within the MPC controller during on-line process control in the presence of a specific amount of model mismatch or a range of model mismatch. The adaptation/tuning unit determines one or more MPC controller tuning and design parameters, including for example, an MPC form, penalty factors for either or both of an MPC controller and an observer and a controller model for use in the MPC controller, based on a previously determined process model and either a known or an expected process model mismatch or process model mismatch range. A closed loop adaptation cycle may be implemented by performing an autocorrelation analysis on the prediction error or the control error to determine when significant process model mismatch exists or to determine an increase or a decrease in process model mismatch over time.

In order to consider an optimum control method and an optimum mounting method needed, a UWB having a communication function and a radar function are used. For an obstacle vehicle in front, the distance between two cars is measured using the radar function, and according to this distance, a hazard warning is issued to a driver or a pre-crash operation is carried out. Moreover, by informing its own position to each other between vehicles using the communication function, the distance to a vehicle near to the own vehicle is measured regardless of clutter, and according to this distance, a hazard warning is issued to a driver or a pre-crash operation is carried out. Moreover, the operating frequency and transmission power of a radar are changed based on its own location information, thereby reducing influence to and from other wireless system.

Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.

An object of the present invention is to execute an optimum control of vibrations due to a driver's operation of an accelerator pedal, steering wheel and brake pedal. The operation instructions are inputted into a vibration calculating means (kinetic model) comprising a vehicle body model, suspension model and tire model. Conventional kinetic model controlled the suspension in order to suppress the vehicle body vibration. However, in the kinetic model of the present invention, the tire vibration due to a change in the engine output is first absorbed by the suspension, whereby a residual vibration which was not be absorbed yet by the suspension is transferred to the vehicle body. The operation inputs are compensated by the three feed-back loops between the outputs of the above-mentioned three portions and input of the tire portion, giving the highest priority on the vehicle body model.

A system and method of reactive power regulation in a wind farm having a plurality of wind turbines that provides optimum control of the reactive power compensation in the wind farm and is able to keep a reactive power reserve in order to support eventual grid contingencies.

The technology described herein provides methods and systems for powertrain optimization and improved fuel economy including multiple displacement engine modeling and control optimization, automotive powertrain matching for fuel economy, cycle-based automotive shift and lock-up scheduling for fuel economy, and engine performance requirements based on vehicle attributes and drive cycle characteristics. Also provided is a reverse tractive road load demand simulation algorithm used to propagate a reverse tractive road load demand and a corresponding component torque and speed, derived from a vehicle speed trace, in a reverse direction through a powertrain system. Also provided is a dynamic optimization algorithm. The dynamic programming algorithm is applied to a matrix of fuel flow rates to find the optimal control path that maximizes the powertrain efficiency over a cycle.

A fuel cell system, control method and current measuring device for a power unit are disclosed. The fuel cell system includes a fuel cell having local areas, a current measuring device associated with at least one of the local areas to measure localized current related to a specified operating characteristic, and a control section for diagnosing an operating condition of the fuel cell in response to localized current to enable optimum control of the fuel cell depending upon a specified operating characteristic determined by localized current. The control method controls the operating condition of the fuel cell in response to localized current indicative of the specified operating characteristic of the fuel cell. The current measuring device includes an electrical conductor formed with a recessed portion, a localized current conductor received in the recessed portion, and a current sensor for detecting current flowing across the localized current conductor.

The present invention provides, e.g., apparatus comprising at least one processor; at least one memory including computer program code; the at least one memory and computer program code being configured, with at least one processor, to cause the apparatus at least to: respond to signaling containing information about an instant pressure and a flow rate of fluid being pumped in a pumping system, and obtain an adaptive control curve based at least partly on the instant pressure and flow rate using an adaptive moving average filter. The adaptive moving average filter may be based at least partly on a system flow equation: SAMA_t=AMAF(Q_t/√{square root over (ΔP_t)}), where the function AMAF is an adaptive moving average filter (AMAF), and the parameters Q and ΔP are a system flow rate and differential pressure respectively. The at least one memory and computer program code may be configured to, with the at least one processor, to cause the apparatus at least to obtain an optimal control pressure set point from the adaptive control curve with respect to an instant flow rate or a moving average flow rate as SP_t=MA(Q_t)/SAMA_t, where the function MA is a moving average filter (MA), to obtain a desired pump speed through a PID control.

Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.

A control system and method for controlling a system, which employs a data set representing a plurality of states and associated trajectories of an environment of the system; and which iteratively determines an estimate of an optimal control policy for the system. The iterative process performs the substeps, until convergence, of estimating a long term value for operation at a respective state of the environment over a series of predicted future environmental states; using a complex return of the data set to determine a bound to improve the estimated long term value; and producing an updated estimate of an optimal control policy dependent on the improved estimate of the long term value. The control system may produce an output signal to control the system directly, or output the optimized control policy. The system preferably is a reinforcement learning system which continually improves.

A system and method for cooling and heating of buildings consisting of an integrated assembly of devices, including a variable speed air handler, hot water heating coil, outside air damper, controller, and optional compressor-based air conditioner. During summer the system utilizes nighttime outside air for cooling and uses air temperature predictions to provide information about optimal control settings and to maintain comfort. During winter the system varies airflow with heating demand and ventilates with outside air to maintain indoor air quality.

The invention relates to an autonomously identifying and capturing method of a non-cooperative target of a space robot, comprising the main steps of (1) pose measurement based on stereoscopic vision, (2) autonomous path planning of the target capture of the space robot and (3) coordinative control of a space robot system, and the like. The pose measurement based on the stereoscopic vision is realized by processing images of a left camera and a right camera in real time, and computing the pose of a non-cooperative target star relative to a base and a tail end, wherein the processing comprises smoothing filtering, edge detection, linear extraction, and the like. The autonomous path planning of the target capture of the space robot comprises is realized by planning the motion tracks of joints in real time according to the pose measurement results. The coordinative control of the space robot system is realized by coordinately controlling mechanical arms and the base to realize the optimal control property of the whole system. In the autonomously identifying and capturing method, a self part of a spacecraft is directly used as an identifying and capturing object without installing a marker or a comer reflector on the target star or knowing the geometric dimension of the object, and the planned path can effectively avoid the singular point of dynamics and kinematics.

The invention discloses an air conditioner for controlling the thermal comfort feeling of a human body and a control method. The method comprises the following steps of: acquiring relevant parameters of the comfort level of the human body; according to the relevant parameters of the comfort level of the human body and in accordance with a preset PMV (Predicted Mean Vote) formula, acquiring a corresponding computed result of the thermal comfort feeling of the human body; according to the computed result, acquiring an optimal control strategy; and according to the optimal control strategy, controlling a relevant operating mode of the air conditioner so as to realize comfort control for the air conditioner. The invention has the advantages that the need for thermal comfort of the human body is met, simultaneously different indoor environmental parameters are selected for combination according to the activity level and the wearing condition of a person, and the operating energy consumption of the air conditioner is least, so that the energy-saving effect of the air conditioner is improved; and the operating method is simple and is easy to control.

The present invention provides computer implemented methodology that permits the safe landing and recovery of rotorcraft following engine failure. With this invention successful autorotations may be performed from well within the unsafe operating area of the height-velocity profile of a helicopter by employing the fast and robust real-time trajectory optimization algorithm that commands control motion through an intuitive pilot display, or directly in the case of autonomous rotorcraft. The algorithm generates optimal trajectories and control commands via the direct-collocation optimization method, solved using a nonlinear programming problem solver. The control inputs computed are collective pitch and aircraft pitch, which are easily tracked and manipulated by the pilot or converted to control actuator commands for automated operation during autorotation in the case of an autonomous rotorcraft. The formulation of the optimal control problem has been carefully tailored so the solutions resemble those of an expert pilot, accounting for the performance limitations of the rotorcraft and safety concerns.

A refrigerating system, using CO2 as a refrigerant, for an air conditioner for an automobile. A pressure at the outlet of the heat emitter 2 is controlled to a target value in accordance with the temperature of the refrigerant at the outlet of the heat emitter for obtaining an operation of the refrigerating system along the optimum control line eta max. A pressure reducer 4 and a cooler 5 are provided on a branched passageway 28 branched from a refrigerant recirculating passageway 27 for injection. The cooler 5 is for obtaining a heat exchange between a flow of the refrigerant on the branched passageway 28 after being cooled by the pressure reducer and a flow of the refrigerant on the main passageway 27, thereby cooling the refrigerant directed to the evaporator. In a second aspect of the invention, a means is provided for increasing a target value of the pressure at the pressure reducer when a thermal load of the refrigerating system is high. In a third aspect, a series of pressure reducers are arranged on the main recirculating passageway. The second stage pressure reducer is controlled so as to obtain a desired value of degree of super heating at the inlet of the compressor.

An inputting unit 10 of a channel bandwidth utilization ratio evaluating server 1 inputs various traffic parameters and transmission parameters. A packet sending-out time computing section 21 obtains a packet sending-out channel time based upon a packet size and the transmission rate. Further, a probability computing section 22 obtains a channel bandwidth utilization ratio based upon the packet sending-out channel time, a cycle time of a packet, and a communication error ratio. Further, the channel bandwidth utilization ratio evaluating server 1 evaluates the obtained channel bandwidth utilization ratio. For example, the channel bandwidth utilization ratio evaluating server 1 determines whether or not receipt of a new call is permitted based upon the obtained channel bandwidth utilization ratio. Further, the channel bandwidth utilization ratio evaluating server 1 determines an optimum control based upon the obtained channel bandwidth utilization ratio.

The invention relates to a PMSM servo system control method based on fuzzy and active disturbance rejection control. A position signal is given by a differential tracker to arrange a transition process so that the contradiction between rapidness and overshoot of a system is solved, and uncertainty, friction torques and external disturbance due to modeling errors of the system are observed via an expansion state observer; according to the error between the differentials generated by the differential tracker and state variation generated by the expansion state observer, a fuzzy inference rule is obtained with application of experimental experience of technical staff, so that a fuzzy rule control table of an error proportion coefficient, a differential coefficient and an integration coefficient is established; accurate control amount is obtained after de-fuzzification, so that parameter self-adaptive adjustment of a nonlinear error feedback control law is realized; and compensation amounts of the nonlinear error feedback control law and the expansion state observer to the total disturbance forms the control amount, thereby realizing optimal control for an controlled object. The method of the invention improves both tracking precision and disturbance rejection capability of the system.

The invention relates to an air conditioner and a controlling method thereof. The air conditioner determines movement of indoor person through a camera device of the air conditioner, and calculates corresponding movement quantity and body metabolism quantity to change running setting of temperature, wind direction and wind speed, thereby realizing optimum control, increasing efficiency, providing more comfortable environment for indoor person and having effect of improving satisfaction. Especially, the air conditioner detects state of indoor person through tridimensional image or heat imaging image according to indoor temperature distribution shot by a camera component, and executes corresponding air-conditioning operation according to body state of indoor person, to execute corresponding air-conditioning operation according to the body state of indoor person, thereby having advantage of providing comfortable environment suitable for current state of indoor person.

Disclosed is a digitally controlled multi-phase voltage regulator system providing regulated power to electronic components that have variable power requirements. Power is supplied by one or more power integrated circuits (IC) each having a high side power switch controlled by pulse width modulated signals and a low side power switch. The power IC senses voltage at the load and has an on-chip current mirror for generating a current that is a ratio of current delivered to the load. The power IC also has current limiting and on-chip temperature sensing components. The voltage and current information is digitized and provided to a control integrated circuit (IC). The control IC receives this digitized information as well as user provided parameters and, in the regulation mode of operation, provides digitized pulse width modulated control signals to the power IC. In an active transient response mode of operation, the control IC provides signals to turn either the high side switches or low side switches ON. Fault detection circuitry identifies over voltage, under voltage, and excessive temperatures. All communications between the control IC and the power IC are digital providing high bandwidth, optimal control frequency response, noise immunity and efficient active transient response.

A control system for a wind turbine comprises: a sensor arrangement for capturing measures related to the turbine operation and fatigue accumulation; an upper level controller, which, on the basis of a statistical treatment of said measures, calculates optimized control settings at discrete points of time; a measurement module which processes said measures into instantaneous values; and a lower level controller that receives said control settings and said instantaneous values and calculates instantaneous optimal commands to control turbine actuators. The lower level controller comprises a continuous-time damage model which calculates the rate at which damage is accumulated at any time, and an optimal controller which controls operational states of the turbine, either by directly giving feedback of the instantaneous values to the actuators, or by generating a turbine performance objective function which is continuously optimized by repeatedly solving a receding horizon optimization problem.