924results about How to "Small overshoot" patented technology

The invention discloses an automatic regulating apparatus for controller parameters of a servo driver of a motor and a method thereof. The apparatus comprises an inertia identifier, a parameter initial regulator, a parameter checker, a parameter optimizer, a parameter saving and displaying device, a speed controller, a position controller, a torque controller, a PWM (Pulse-Width Modulation) generator and a coded disc. In the invention, the servo driver of an alternating current permanent magnet motor automatically configures the parameters of the position controller and the speed controller according to different rotary inertias of mechanic load, checks and further optimizes the automatically configured parameters through the parameter checker and the parameter optimizer so that the position response and the speed response of the servo driver are relatively optimal. The servo driver of the alternating current permanent magnet synchronous motor automatically regulates the control parameters according to work occasions and achieves ideal control effect. The whole process is manual participation free and completed fully by the servo motor of the alternating current permanent magnet synchronous motor.

The invention provides a simple and effective thermal management system of a water-cooling proton exchange membrane fuel cell and a control method of the thermal management system. The thermal management system mainly comprises an electric pile, a water tank provided with a heating device, a cooling water circulating pump, a radiator, a cooling water pile inlet temperature sensor, a cooling water pile outlet temperature sensor, a cooling water pile inlet pressure sensor and a controller of the thermal management system. The control method following pressure change is provided to overcome the defects of lag, great overshooting, system coupling and the like caused by temperature change tracking in the traditional control strategy. The radiator is mainly used for controlling the cooling water inlet temperature of the pile and mainly controls the rotating speed of a radiator fan according to the cooling water inlet temperature of the pile of the fuel cell; and the cooling water circulating pump is mainly used for controlling the cooling water flow in the whole thermal management system and mainly controls the rotating speed of the circulating pump according to the cooling water inlet pressure of the pile of the fuel cell.

The invention relates to the technical field of control on production equipment, and particularly relates to an intelligent control system for a vertical mill based on a fuzzy PID (proportion integration differentiation) algorithm. The intelligent control system comprises the vertical mill, a dust remover and a feeding device, wherein the feeding device comprises an unloader, a bucket elevator and a storage bin; and the intelligent control system is characterized in that an air inlet in the bottom of the vertical mill is connected with a fan via a pipeline, a cold-air device and a hot-air stove are arranged on the pipeline between the air inlet and the fan, a cold-air adjusting valve and a hot-air adjusting valve are respectively arranged on the cold-air device and the hot-air stove, a vertical mill material layer PID controller is arranged on the feeding device, and an in-mill pressure difference fuzzy PID controller is arranged on the cold-air adjusting valve. According to the intelligent control system disclosed by the invention, mathematical models of the change of the vertical mill material layer thickness and an in-mill pressure difference along with parameters of a feeding amount, a mill inlet hot-air temperature and the like can be established only by inputting and outputting data without analyzing the complex grinding process of the vertical mill; and the intelligent control system is simple in process, high in adaptability, fast in the dynamic response time of a controller algorithm, high in robustness, high in control accuracy, and good in market prospect.

The invention discloses a motor non-speed sensor control method for smoothly switching composite rotating speed identification. In the method, the model reference fuzzy self-adaptive rotating speed identification of the magnetizing current reactive power is adopted for identifying the rotating speed of the motor in high speed; the slip angular speed ring opening rotating speed identification is adopted for identifying the rotating speed of the motor in low speed; the method for smoothly switching factors is adopted for smoothly transiting the two motor rotating speed identification methods, thus realizing the composite identification of the high and low rotating speed of the motor in the starting process of the motor. The invention has the beneficial effects that the method solves the contradiction that the indexes of the dynamic property and the steady-state performance in the traditional single rotating speed identification speed can not be simultaneously optimized so that the motor has the good rapidity and strong dynamic track during the starting; in the steady-state process, the overshoot is small and the speed control precision is high; the method has the complete robustness for the state resistance, can implement the vector control of the non-speed sensor in a wider speed range, thus realizing the composite identification of the high and low rotating speed of the motor in the true sense.

The invention provides an active disturbance rejection control-based method for controlling synchronization of a photovoltaic power generation system. The photovoltaic power generation system is a non-linear system, influenced by power grid and environment and strongly disturbed by the outside and has nonlinear uncertain factors. According to the work characteristics of the system, the active disturbance rejection control technology is adopted to realize effective control of the system. The system dynamically observes the uncertain factors in the system model and external disturbance by utilizing an extended state observer of an active disturbance rejection controller (ADRC) to ensure that the system has good adaptability to disturbance, can adapt to changes of an object model and the surrounding environment in a large range without influencing the control quality of the controller, and represents well robustness.

The invention discloses an active disturbance rejection control method of a direct-driven permanent magnet synchronization wind power system. The invention relates to the technical field of wind power, in particular to the active disturbance rejection control method of the direct-driven permanent magnet synchronization wind power system. The direct-driven permanent magnet synchronization wind power system comprises a draught fan, a permanent magnet synchronous generator (PMSG), a machine side converter, a capacitor, a network side converter and a power network. According to the active disturbance rejection control method of the direct-driven permanent magnet synchronization wind power system, a rotor field orientation double-closed-loop vector control strategy is adopted, an outer loop is a speed loop, an inner loop is a current loop, and the machine side converter is controlled to operate. The active disturbance rejection control method can reasonably manage a transient process for a preset rotating speed signal according to the bearing capacity of the direct-driven permanent magnet synchronization wind power system, reduces the overshoot of the rotating speed of the PMSG when the direct-driven permanent magnet synchronization wind power system starts to respond, increases control accuracy and operational stability of the direct-driven permanent magnet synchronization wind power system, has a disturbance feedforward compensation function, and increases capacity, for resisting disturbance, of the direct-driven permanent magnet synchronization wind power system.

The invention relates to a novel gray wolf optimization algorithm-based aero-engine nonlinear predictive control method. The method includes the following steps of: prediction model establishment: Gaussian white noises act on an aero-engine as input data, so that corresponding output data are obtained, as for the acquired input data and output data, a BP neural network method is utilized to offline train a corresponding neural network model, and a prediction model is established through using a recursive method on the basis of the neural network model; feedback correction: feedback correction is performed on the output value of the prediction model according to the deviation of the output value of the prediction model at a k time point and the actual output value of the engine; and rolling optimization: a novel gray wolf optimization algorithm is adopted to perform solving, with the difference of the output value of the prediction model and the output fixed value of the engine adopted as input, rolling optimization is performed, and therefore, optimal control quantity fuel flow can be obtained. Compared with an ordinary aero-engine control method, the method has better robustness and constraint processing capacity.

An embodiment of the invention discloses an attitude control method and system based on a quad-rotor unmanned helicopter. The method includes the steps: extracting differential signals for controlling reference state input values by a tracking differentiator; acquiring expanded state output quantity under current attitude adjustment based on an expanded state observer; acquiring initial control output quantity of a nonlinear feedback controller based on error design; performing disturbance compensation for the initial control output quantity by unknown disturbance observation values in the expanded state observer to obtain control output values of an inner ring attitude controller. The transient process is arranged, the differential signals of a controlled object are extracted by the tracking differentiator, change of reference input signals is softened by tracking the reference input signals, output overshooting of the system is decreased, and robustness is enhanced.

The embodiment of the invention discloses a method for regulating exposure, which is characterized by dividing the lightness interval of a system into at least three subintervals in advance, respectively setting a fitting function for each subinterval, and presetting an object lightness value, an upper limit value and a lower limit value thereof. The method comprises the following steps: obtaining parameter values at the current time, wherein the parameter values comprise a lightness statistic value of an input image at the current time; when the lightness statistic value is not within the interval composed of the upper limit value and the lower limit value of the object lightness value, judging the subinterval to which the lightness statistic value belongs; and regulating the exposure through the fitting function corresponding to the subinterval to which the lightness statistic value belongs. The embodiment of the invention further discloses an exposure regulating device. The embodiment of the invention also discloses an exposure regulating device. Different fitting functions are set for different lightness intervals, so new grains and exposure times of different intervals can be calculated according to the different fitting functions in the exposure regulating process, thereby reducing overshoot and enhancing the stability of exposure control of the system.

The invention discloses a tension roll control device for a plate and strip processing line and a tension control method, belonging to the field of tension control of tension rolls on the plate and strip processing line in the metallurgical industry. The tension roll control device comprises a tension roll group, an auxiliary roll frequency converter and a main roll frequency converter, and further comprises an auxiliary roll speed encoder, a main roll speed encoder, a load distributor, a tension regulator, a feedforward compensation unit and a tensiometer, wherein two ends of the load distributor are respectively connected with the auxiliary roll frequency converter and the main roll frequency converter; the auxiliary roll frequency converter comprises an auxiliary roll rotation speed control unit and an auxiliary roll torque control unit; and the main roll frequency converter comprises a main roll rotation speed control unit and a main roll torque control unit. The tension roll control device has the advantages of high control response speed and high control precision. A control method of the tension roll control device comprises the steps of: (1) main/slave load distribution for the tension rolls; (2) complex tension control of the tension rolls; and (C) dynamic compensation. The method has the advantages of small steady state error of a torque loop, short anti-disturbance recover time, constant rotation speed and good anti-disturbance performance.

The invention discloses a variable speed-variable pitch combined control method of a variable speed constant-frequency wind turbine generator. According to the control method, an optimal rotating speed estimated value and a rotating speed reference value are introduced to respectively serve as reference quantities of rotating speed control and variable pitch control. A rotating speed PID controller performs torque command regulation according to the deviation of the optimal rotating speed estimated value and the rated rotating speed of the wind turbine generator, a variable pitch PID controller performs pitch angle command regulation according to the deviation of the rotating speed reference value and the rated rotating speed of the wind turbine generator, decoupling control between rotating speed control and variable pitch control is achieved, and interference between rotating speed control and variable pitch control is avoided. When wind speed fluctuates nearby the rated value and pneumatic power captured by the wind turbine generator is larger than rated power, the rotating speed reference value corresponding to a pneumatic power estimated value is larger than the rated rotating speed of the wind turbine generator, the variable pitch PID controller regulates a pitch angle command before a torque command output by the rotating speed PID controller reaches the rated value, and variable speed-variable pitch combined control is achieved in advance to control rotating speed of the wind turbine generator and overshooting of output power.

The invention relates to a maglev train system control method based on integral sliding mode control of a double power reaching law (DPRL-I-SMC), and especially relates to a maglev train system control method based on integral sliding mode control of an improved double power reaching law. A sliding mode controller is designed by combining the double power reaching law and the exponential reachinglaw and using a saturation function and an integral function. The improved DPRL-I-SMC method is superior to the traditional sliding mode control (SMC) and power reaching law-integral sliding mode control (PRL-I-SMC) methods in all aspects, can effectively eliminate the chattering of the system, reduce overshoot, accelerate convergence and overcome nonlinear factors to make a nonlinear system stably suspended, and shows excellent dynamic performance and anti-jamming performance.

The invention relates to a method for controlling the liquid level of a continuous casting crystallizer based on Fuzzy-PID. In the method, the liquid level is controlled by auto turning parameter PID control and fuzzy control under the control of a computer and a PLC, and the mechanical dead area is compensated. The method comprises the following steps: step 1, the original liquid level y0 is set, and the liquid level y1 and y2 are collected by a liquid level controller and a liquid level sensor; step 2, the collected data y1 and y2 are input PLC by a signal processor, the data is processed by the mixed control of the auto turning parameter PID control and the fuzzy control, and the mechanical dead area caused by insensitivity of the machine transmission is compensated by adjusting the PID parameter; step 3, the PLC outputs u(k)=u1(k)+u2(k), so that the liquid level is controlled by controlling the position of a stopper by a stopper controller. The method of the invention ensures that the system not only has good steady characteristic, but also has excellent transient characteristic under time-variation condition by reasonably designing fuzzy control rule and parameter setting rule.

The invention relates to an active disturbance control method of a flexible direct current power transmission system. The method adopts the technical scheme that the method comprises the following steps that a rectifier controller is arranged at the head end of a direct current power transmission line of the flexible direct current power transmission system to carry out the constant direct current voltage control on a rectifier at the alternating current system side, an inverter controller is arranged at the tail end of the direct current power transmission line to carry out the constant alternating current voltage control on an inverter, and a double-closed loop type vector control strategy is adopted for the constant alternating current voltage control of the inverter, wherein an outer loop of the voltage is controlled by an active disturbance controller, an inner loop is controlled by current decoupling, and the direction of bus voltage at the inverter alternating current side is fixed to the direction of an axis d. The method has the advantages that the overshoot of the bus voltage at the passive network alternating current side is reduced when the flexible direct current power transmission system starts to respond, the precision and the stability of the alternating current voltage control are improved, the inside and outside total disturbance of the flexible direct current power transmission system can be evaluated in a real-time way, the feedforward compensation can be timely carried out, the disturbance control capability of the flexible direct current power transmission system is improved, and the control requirements of a non-linear system can be met.

The invention relates to a jiggling phase searching method, wherein a phase searching current is applied to the winding of the three-phase AC servo motor, and an electric angle alpha of the rotor magnetic pole relative to the stator is determined through measuring jiggling of the motor, which includes steps: 1. defining and initializing the phase searching parameters; 2. applying a gradually increased phase searching current corresponding to the assumed value of the electric angle alpha[0] so as to generate jiggling of the rotor, then turning to the step 5 if the phase searching current reaches a maximum value I[max] and the movement of the rotor still does not exceed a permitted deviation angle delta; 3. determining an angle modification value theta; 4. modifying the assumed value of the electric angle alpha[0] based on jiggling direction of the servo motor and the angle modification value theta, then returning to the step 2; 5. using the assumed value of the electric angle alpha' as the actual value of the electric angle alpha; and optionally 6. determining and correcting the phase sequence of the three-phase winding wiring of the motor, wherein the angle modification value can be determined by subsequently using a bisection method and a bias weighted stepping method. Comparing with methods in prior art, the method has features of small stroke, fast phase searching speed, high phase searching precision, and wide range of compatibility because it is applicable not only to the rotation motors, but also to the linear motors.

The invention discloses a tea green-removing machine and a fuzzy control method thereof. The method comprises the following steps of: heating a barrel of the tea green-removing machine by using a combustor, wherein T is a given temperature value, a feedback value Tt is the current temperature value of the outer wall of the barrel of the tea green-removing machine, and temperature difference E is equal to Tt-T, and a temperature difference change rate EC is equal to Tt-Tt-1, the first input quantity of a fuzzy controller is Ke*E, and the second input quantity of the fuzzy controller is KC*EC; the output quantity of the fuzzy controller is U, and the input control quantity of the tea green-removing machine is KU*U, and the Ke, KC and KU represent a temperature difference ratio factor, a temperature difference change ratio factor and a control quantity ratio factor respectively; and the input control quantity KU*U is a voltage signal of an electromagnetic valve, namely the voltage signalloaded in an electromagnetic coil in the electromagnetic valve which is used for controlling the flow of the combustible gas in the combustor. The tea green-removing machine and the fuzzy control method thereof have the advantages that: the implementation is easy; the automation degree is high; and the tea green-removing effect is good.

The invention discloses a sliding mode control method for a double-pendulum bridge crane nonlinear sliding mode surface, so as to eliminate double-pendulum effects of load swing of the crane system and realize high-precision trolley tracking control and load swing suppression which are important for the crane system. According to the novel sliding mode control method with the nonlinear sliding mode surface disclosed in the invention, different from the traditional linear sliding mode surface, the nonlinear sliding mode surface can change the damping ratio of a closed loop system to a final high value from an initial low value, the low value can provide a quick response, the high value can eliminate overshoot, and the trolley can track a given trajectory more accurately. The Lyapunov technology verifies the stability of the whole system.

The invention discloses a current switching circuit for a high-speed current rudder digital-to-analog converter, comprising a switch main body circuit, a constant-current circuit which provides a constant flow source for the switch main body switch, a switch drive circuit which provides difference switching signals to the switch main body circuit and a four-phase control signal generating circuit which provides difference control signals for the switch drive circuit. A pre-breakover pull-down MOS (Metal Oxide Semiconductor) tube is adopted in the switch drive circuit , and a clock feedthrough compensation structure is applied to the switch main body circuit, thus overshooting of the difference switching signals is greatly weakened, falling edges of the difference switching signals at the initial stage of hopping become gentle, symmetry of rising and falling edges of the difference switching signals in case of low swing amplitude is improved and clock feedthrough errors resulting from the difference switching signals are effectively reduced. The current switching circuit is especially applicable to the high-speed and high-precision digital-to-analog converter.

The invention relates to the field of unmanned control methods, in particular to a course control system and method for an unmanned surface vehicle. The control system comprises an upper computer, a transmission station and a lower computer. The control method includes the set steps that an expected course is input in a human-computer interaction interface of an upper computer operating deck and transmitted to the lower computer through the transmission station; information is acquired and transmitted, wherein unmanned surface vehicle comprehensive information acquired by the lower computer is transmitted into the upper computer through the transmission station; and control is conducted, wherein the upper computer conducts calculation and processing according to the received unmanned surface vehicle comprehensive information, a rudder angle delta is output and transmitted to the lower computer, and the rudder direction is automatically changed through a course control device, so that the course of the unmanned surface vehicle is adjusted. The system and method have the beneficial effects that maneuverability is high, robustness is strong, a stepping motor and a bevel gear wheel are simultaneously adopted for driving the steering course control device, the control accuracy is higher, steering is more accurate, and the application prospect is good.

The invention discloses a smart energy management device of a multi-energy power supply system. The smart energy management device of the multi-energy power supply system comprises a photovoltaic power generation device, a wind power generation device, a diesel generator device, an energy storing device, an alternating load, a direct current bus device, an alternating current bus device, a smart controller device, a rectifier, a detection device and an inverter device. The multi-energy power supply system integrates solar energy, wind energy, a diesel generator and a storage battery device, has strong nonlinearity, and has a certain degree of inertia. According to the smart energy management device of the multi-energy power supply system, fuzzy control algorithm is used for integrated management of energy. The smart energy management device is characterized by intelligent control, effectively solves the nonlinear problem of the system, enables overshoot of the system to be reduced, even enables overshoot not to occur, and enables the system to have strong robustness and adaptivity.