150 results about "Inverse system" patented technology

The invention relates to an inverse system robust control method of a feather wind power generation system, which belongs to the wind power generation technique field, the method comprises: the electromagnetic torque of a generator is calculated according to the values of the voltage, the current and the rotating speed of the generator; if the electromagnetic torque does not reach a rated value, the rotating speed of a fan and the output power of the system are limited by increasing the electromagnetic torque of the generator; if the electromagnetic torque reaches the rated value, the pitch angle of the fan is started for adjustment, the steps are as follows: a model of the wind power generation system is established, the model is the overlapping of a nominal model and a perturbation model which is the deviation of a fan model and the nominal model; the overlapped angle of the calculated pitch angle normalized by the inverse system and the calculated robust compensation pitch angle is used for adjusting the pitch angle, thus realizing the control of the fan rotating speed and the output power of the wind power generation system. The inverse system robust control method of a feather wind power generation system of the invention has simple realization and good portability, reduces the fatigue degree of a pitch angle adjusting device and prolongs the operating life of the fan under the same wind speed condition.

The invention discloses a bearing-free asynchronous motor control method based on a neural network inverse system theory. A composite controlled object is composed of two sets of Park inverse transformation, two sets of Clark inverse transformation, two sets of current regulating inverters, a flux linkage observer, and a bearing-free asynchronous motor; a fuzzy neural network and integrators form a fuzzy neural network inverse system; and the fuzzy neural network inverse system is in series connection with the composite controlled object; besides, the bearing-free asynchronous motor is decoupled into a pseudo linear system comprising two displacement subsystems, a rotating speed subsystem and a rotor flux linkage subsystem; and the obtained pseudo linear system is introduced into internal model control to form closed-loop control. According to the invention, the control precision is high and there is high robustness on an external disturbance, a parameter change and a modeling error, thereby realizing high-performance control on a bearing-free asynchronous motor.

The invention discloses a polyphase motor fault-tolerant control method and system based on a multi-neural-network inverse model in the field of motor control. The polyphase motor fault-tolerant control method comprises the following steps of: respectively acquiring a normal state inverse model and a fault state inverse module of a motor by adopting a neural network inverse model; selecting a corresponding inverse module and a current converter to be serially connected in front of a hysteresis current comparer by a current detection magnetic-chain observation inverse model switching module under a normal state or a fault state to obtain a constant pseudo-linear system; only considering to convert current of d axis and q axis of a stator, inversely output by the neural network after circuit-opening into four phases of reference current, and only adjusting phase relationships of the rest four phases of current; and when motor model parameters changes because the motor has a fault, approaching to a motor inverse system still accurately without the need of correcting control parameters of additional controllers again. According to the polyphase motor fault-tolerant control method and system disclosed by the invention, the adaptability of a fault-tolerant controller to the winding fault of the motor is improved, and the requirements and the circuit cost of an inverter power device are reduced; and the polyphase motor fault-tolerant control method and system have stronger fault tolerance and robustness.

The control method for a NN reverse decoupling controller of bearingless ac asynchronous motor comprises: composing the controlled target with two Clark inverse transforms, two current track inverters, the said motor and its load; according to corresponding inverse system, making up the NN inverse by a static NN and an integrator with learning algorithm to series connect between composite targets and form the pseudolinear system; designing linear close-loop controller as the method on linear system; finally, connecting the controller and NN inverse to form the objective controller with former transforms and inverters. This invention has well control performance.

The invention discloses an implementation method of an inverse system controller of an active power filter, which comprises the following steps: establishing a mathematical model of parallel main circuits of the active power filter under a d-q coordinate system; decoupling two variables of current components of offset current under the d-q coordinate system; constructing a pseudo-linear system after the decoupling so as to ensure that an optimal control signal joins into the pseudo-linear system to obtain an optimal inverse system control matrix; and finally, obtaining a reference value of the offset current by carrying out coordinate transformation on detected harmonic current. The invention changes a control policy of a conventional active power filter, carries out pseudo-linear processing on a nonlinear coupled system, directly works out a switching coefficient of the main circuits during working and the working modes of devices of the main circuits, has visualized physical conception, simple mathematical deduction, small operand and higher control precision and can guarantee the energy exchange of direct current and alternating current when a load is suddenly changed.

The invention provides a biological fermentation adaptive control system and a control method based on neural network inverse. The control method comprises the following steps: constructing the neural network inverse by using a neural network and a time division multiplexing time delay link, enabling the neural network to achieve an inverse system function of a biological fermentation system by adjusting the weight coefficient of the neural network, connecting the neural network inverse and the biological fermentation system in series to form a pseudo-linear compound system, decoupling the pseudo-linear compound system in a linearization mode into two pseudo-linear subsystems with single input and single output, presetting desired signals, according to the control inputs of each pseudo-linear subsystem and the outputs of the biological fermentation system of current time and prior moment, constantly renewing the parameters of a model-free adaptive controller and the control input of each pseudo-linear subsystem of the following moment, enabling the outputs of the biological fermentation system to follow the preset desired signals effectively, thereby achieving the model-free adaptive control of the biological fermentation system, and improving the control performance of a biological fermentation process.

The invention relates to a support vector machine inverse system composite controller based on a bearingless synchronous reluctance motor. Two expandable current hysteresis loop PWM (Pulse-Width Modulation) inverters and a bearingless synchronous reluctance motor to be controlled are used as a whole to form a composite object to be controlled; a support vector machine inverse system controller is constructed according to a mathematical model of the object to be controlled and is connected in series before the composite object to be controlled of the bearingless synchronous reluctance motor so as to realize the decoupling control between the electromagnetic torque and the radial levitation force of the motor as well as the radial levitation force in two vertical directions; on the basis, a rotating speed closed loop linear controller and two rotor position closed loop linear controllers are respectively designed for the rotating speed of the motor and the rotor positions to form a linear closed loop controller; an finally the linear closed loop controller, the support vector machine inverse system controller and two expandable current hysteresis loop PWM inverters commonly form the support vector machine inverse system composite controller for dynamically decoupling control on the bearingless synchronous reluctance motor. The control speed, the control precision and the dynamic and static performances of the system can pass parameters for adjusting the linear closed loop controller.

A method and system for reducing disturbance effects on a dynamic system. The method in one embodiment processes a compensated control signal using at least one of a feedforward gain, feedthru gain and a feedback gain, and transmitting the compensated control signal to the dynamic system. An embodiment of the dynamic disturbance rejection device comprises a feedthru section with at least one input command signal that processes a feedthru output using inverse system dynamics, a feedback section with state information that processes a feedback output using inverse system dynamics, a feedforward section with disturbance information that processes a feedforward output using inverse system dynamics, and a processing unit that processes the compensated control signal for the controlled system.

The invention provides an unbalance vibration control system of a bearingless asynchronous motor. The system consists of a directional inverse decoupling control system of a rotor flux linkage of the bearingless asynchronous motor and an unbalance exciting force feedforward compensation system, wherein the directional inverse decoupling control system of the rotor flux linkage of the bearingless asynchronous motor comprises an original system, an inverse system and four adjustors and realizes dynamic decoupling control of an electromagnetic torque, the rotor flux linkage and a random displacement component; the unbalance exciting force feedforward compensation system comprises an LMS self-adapted filter unbalance exciting force compensator and a force / flow conversion module and dynamically adjusts the unbalance displacement extraction speed and precision by using a simple step-length factor adjusting function; output of the feedforward compensation system and a steady random displacement current output by the inverse system are overlaid to form a magnetic suspension dynamic decoupling control system. The system provided by the invention cancels the links of online identification of a predictable load torque in the inverse system and a closed loop of a stator current of the original system, so that the influence of the unbalance exciting force can be effectively inhibited and the control precision and performance are improved.

The invention discloses a method and a device for inversely controlling the fuzzy compensation of the radial position of a bearing-free synchronous reluctance motor, which is suitable for the suspension operation control of the bearing-free synchronous reluctance motor. The control method comprises: forming a composite controlled object by using an expanded hysteresis loop PWM inverter and the radial position of a controlled motor; reconstructing an inverse system of the composite controlled object; connecting the inverse system before the composite controlled object in series to compound a pseudo linear system consisting of two radial position subsystems; and designing a closed-loop fuzzy compensator for the pseudo linear system to perform decoupling control of the radial position of the controlled motor. The control device comprises the inverse system, the closed-loop fuzzy compensator and the expanded hysteresis loop PWM inverter. The method and the device are used for building a novel decoupling control device of the bearing-free synchronous reluctance motor to realize the high-performance suspension control of the motor and are widely used in alternating current power transmission and servo systems using the bearing-free synchronous reluctance motor as a power device, have a simple control system algorithm, have the advantage of high load disturbance resistance and have high dynamic and static adjustment performance.

The invention discloses a networked AC (alternating current) motor LS-SVM (least squares support vector machine) generalized inverse decoupling control method based on active-disturbance rejection. According to the method, an SVPWM (space vector pulse width modulation) controller, a three-phase voltage type PWM (pulse width modulation) inverter, a AC asynchronous motor, Clarke transformation, a rotor flux linkage observer and K / P transformation are connected to form a composite controlled object, and an LS-SVM generalized inverse system and the composite controlled object are connected in series to form a pseudo-linear composite system, and the AC asynchronous motor is decoupled into a rotating speed pseudo-linear sub-system and a rotor flux linkage pseudo-linear sub-system; active-disturbance rejection control is introduced into the pseudo-linear composite system, and networked closed-loop control is formed by communication network actuator nodes and sensor nodes. According to the technical scheme, the defects of low control accuracy, unknown AC motor model or parameters, difficulties in the inverse system construction under small sample condition, weak external disturbance robustness in a network environment, poor open-loop stability and the like in the prior art can be overcome, so that linear decoupling and high-performance control of the AC asynchronous motor can be realized in the network environment.

The invention discloses a control system and a control method of three-phase independent control grid inversion, wherein the control method of the three-phase independent control grid inversion comprises the steps: 1, error information between an electric supply phase angle and a lock phase angle is obtained by a DQ lock phase based on a closed ring lock phase of the three-phase system of a synchronous rotation coordinate system; 2, the voltage ring adopts comparison between the input voltage and the reference voltage; the obtained error signal is used as a current loop reference after being controlled and outputted by PI to perform PI control; 3, the electric supply valid value and the angle of the single-phase DQ lock phase are combined to replace the electric supply to generate a new front feed signal; and 4, the output of the current loop control and the quantity of the front feed control are used as final output quantity to be used as a modulation signal of SPWM (sinusoidal pulse width modulation) modulation so as to drive the inverter, therefore, the whole three-phase grid inverse system can run.

The invention discloses an active suspension support vector machine generalized compound inverse controller and a construction method thereof. The controller comprises an active suspension system, an optimal controller and a linear motor support vector machine generalized composite inverse controller. The construction method includes forming a compound control target by cascading a current inverter before a linear motor, forming a support vector machine inverse system by the support vector machine and two integration elements, and combining a linear controller with the support vector machine inverse system and the current inverter to form the support vector machine generalized compound inverse controller. A sensor of the active suspension system is used for extracting suspension vibration signals online, and the optional controller is used for calculating the optimal control force and the vibration velocity. The support vector machine compound inverse controller controls the linear motor to output corresponding electromagnetic force and velocity in real time according to the control force and the suspension vibration velocity given by the optimal controller and the electromagnetic thrust and velocity fed back by the linear motor, thereby realizing system linearization, decoupling and degree reduction while achieving good effect and real-time performance of the active suspension.

An observation system configured to observe at least one known state variable of an observed system includes a plurality of filters that are configured to receive a system input, and generate the at least one unknown state variable. Generating the unknown state variable includes processing the system input, a plurality of known state variables, and a time varying mode vector. An inverse system configured to observe at least one inverse state variable of an original system includes a plurality of filters that are configured to receive a system input, and generate the at least one inverse state variable. Generating the inverse state variable includes processing the system input, a plurality of known state variables associated with the original system, and a time varying mode vector associated with the original system.

The invention discloses a control method of a three-phase photovoltaic grid-tied inverter based on an inverse system. A non-linear inverse system method is used for deducing an inverse system model of the three-phase photovoltaic grid-tied inverter to construct a pseudo-linear system; and the control method is used for carrying out decoupling control on active current, idle current and direct-current voltage, and realizes the control on active output and unit power factors of a power grid through the independent control on the active current and the idle current. The control method is high in control efficiency as well as simple and reliable and has a wide application range.

The invention discloses a stator-flux oriented inverse decoupling control system of a bearing-free asynchronous motor. The stator-flux oriented inverse decoupling control system comprises a stator-flux oriented original system, a stator-flux oriented inverse system and four regulators, wherein the four regulators comprises a rotation speed regulator, a flux regulator and two displacement regulators; the stator-flux oriented inverse system is connected in front of the stator-flux oriented original system in series, so that the system is decoupled into four linear subsystems comprising a first-order rotation speed subsystem, a first-order stator-flux subsystem and alpha and beta radial displacement second-order subsystems; the four linear subsystems are connected with the four regulators correspondingly; the four regulators are connected to the stator-flux oriented inverse system so as to form an enclosed loop control system. According to the system, on the basis of stator-flux oriented control of a torque system, the system of the bearing-free asynchronous motor is subjected to integral inverse system decoupling control, so that the control performance of the motor is effectively prevented from being affected by rotor parameters, and the motor running control performance is improved.

This invention relates to motor speed control system and load inertia evaluation by use of inverse module applied in one alternating servo module, which uses one inverse system connected to the real system to induct torque output and when real system generates speed signals values increasing, it will add net inertial volume to update net inertia proportion.

Independent inverse decoupling control system of bearingless induction motor, comprises a bearingless induction motor original system, a bearingless induction motor inverse system arranged in front ofthe bearingless induction motor original system, and four regulating controllers arranged in front of the bearingless inverse system. The alpha displacement controller, beta displacement controller,flux linkage controller and rotational speed controller are all constructed by pole placement method. The original system of bearingless induction motor is composed of independent maglev system and independent torque system. The control system is a kind of high-performance maglev decoupling control system with strong real-time performance, It can realize the dynamic decoupling control of bearingless induction motor, simplify the complexity of the system model, avoid the dependence of the inverse model of the magnetic suspension system on the torque system field-oriented mode, and is especiallysuitable for high-speed motor driving applications where the dynamic control performance is high.

Soft-sensing method of crucial biochemical quantity in penicillin fermentation process based on fuzzy neural inverse and system structure thereof is a method for resloving the problem that the crucial biochemical quantity in penicillin fermentation process is difficult to be measured by physical sensor on-line and real-time. Fuzzy neural inverse soft-sensing method establishes a soft-sensor (11) model based on a kinetic equation in penicillin fermentation process (1), on this basis eatablishes an inverse model of the soft-sensor according to inverse system method, and then uses static fuzzy neural network (41) and a differentor to establish fuzzy neural inverse (4) through a free parameters determined by training the static fuzzy neural network, then the soft-sensor inverse is implemented, finally links the fuzzy neural inverse after the penicillin fermentation process to implement on-line and real-time soft-sensing of fungi concentration x[1], substrate concentration x[2] and products concentration x[3]. Specific implementation of the fuzzy neural inverse is the constructed fuzzy neural inverse system applies embedded microprocessor ARM processor.

The invention discloses a five-DOF (freedom of degree) bearingless synchronous reluctance motor decoupling controller and a construction method thereof. Three expanded current hysteresis loop PWM (pulse width modulation) inverters, a switch power amplifier and a five-DOF bearingless synchronous reluctance motor form a compound controlled object; five support vector machine second-order systems, one support vector machine first-order system and eleven integrators are utilized to construct a support vector machine alpha-order inverse system and offline training is carried out, the support vector machine alpha-order inverse system is placed in front of the compound controlled object to form a pseudo linear system, and the pseudo linear system is equivalent to five position second-order integration subsystems and one position first-order integration subsystem; and five position controllers and one rotating speed controller are respectively designed for the six integration subsystems, thus a linear closed-loop controller is formed. In the invention, a least square support vector machine is adopted to approach an alpha-order inverse model of a nonlinear system, the dynamic decoupling control among all the controlled variables is realized, and the control performance of the overall system is effectively improved.

The invention discloses an inverse system decoupling controller of a five-degree-of-freedom bearingless synchronous reluctance motor. In the inverse system decoupling controller, a linear closed-loop controller, an alpha-th-order inverse system and a composite controlled object are connected in series successively; the composite controlled object consists of three extended hysteresis current controlled PWM inverters, a switching power amplifier and the five-degree-of-freedom bearingless synchronous reluctance motor; the alpha-th-order inverse system and the composite controlled object constitute a pseudo linear system; the five-degree-of-freedom bearingless synchronous reluctance motor consists of a three-degree-of-freedom active magnetic bearing and a two-degree-of-freedom bearingless synchronous reluctance motor which share one rotor; the rotor is provided with a plurality of eddy-current sensors; and the linear closed-loop controller consists of a rotary speed controller, four radial position controllers and an axial position controller. The controller disclosed by the invention has compact structure; and by adopting the invention, the radial suspension force, axial suspension force, motor radial suspension force and electromagnetic torque of the magnetic bearing can be controlled independently and the control performance of the entire system can be effectively increased.

The invention discloses a construction method of a fuzzy neural network generalized inverse controller of a chassis nonlinear system. An active suspension system and an electric power steering system form the integrally-formed chassis nonlinear system based on vertical and transverse motions. A fuzzy neural network and five linear elements are adopted to form a fuzzy neural network generalized inverse of the chassis nonlinear system. The fuzzy neural network generalized inverse is arranged in front of the chassis nonlinear system, and a generalized pseudo-linear system is formed through composition. The generalized pseudo-linear system is decoupled into five linear one-step subsystems, poles of five linear one-step subsystems can be reasonably configured in a complex plane by reasonably adjusting parameters of the generalized inverse system, and accordingly open loop decoupling control of the chassis nonlinear system is achieved. The controller can independently serve as an open loop controller to be directly used without an additional closed loop controller, and the controller is low in cost and easy to achieve.

The invention discloses a method for constructing a decoupling controller of a five-degree-of-freedom alternating-current active magnetic bearing. The method comprises that a fuzzy neural network inverse system is connected in front of a composite controlled object in series to form a pseudo-linear system together, five position controllers are designed for the pseudo-linear system to form a closed loop controller, and finally, the closed-loop controller is connected in front of the fuzzy neutral network inverse system to form the decoupling controller together. The construction of the fuzzy neural network inverse system is that an inverse model of the composite controlled object is established by using the fuzzy neural network and ten first-order integrators S(-1) according to the relative order of the composite controller object, sufficient excitation is carried out on the composite controlled object by using random signals, and the fuzzy neural network is trained offline by adopting a BP algorithm. The method disclosed by the invention decouples the nonlinear strong-coupling five-degree-of-freedom alternating current active magnetic bearing into five independent second-order pseudo-linear systems, thereby enabling the system to have good control performance and a disturbance resisting ability.

A mixer measurement system and method use a chaotic signal to characterize a mixer under test. The mixer measurement system includes a chaotic reference source, an excitation source at an input end of the mixer under test and an inverse system at an output end of the mixer under test. The inverse system removes a chaotic component from a response signal from the stimulated mixer under test to produce a recovered signal having an included distortion that is characteristic of the mixer under test. The method of characterizing a mixer includes applying the chaotic stimulation to the mixer under test to obtain a response signal and employing the inverse system to remove the chaotic component from the response signal.

The invention discloses a nonlinear inverse decoupling controller for a bearingless synchronous reluctance motor and a construction method thereof, and is suitable for high-performance decoupling control of the bearingless synchronous reluctance motor. Two Park inverters, two Clark inverters and two current hysteresis PWM inverters form two expanded current hysteresis PWM inverters together; the two expanded current hysteresis PWM inverters and a controlled bearingless synchronous reluctance motor are taken as a whole to form a compound controlled object; an alpha-order inverse system is connected in series before the compound controlled object so as to compound a pseudo linear system consisting of a speed subsystem and two position subsystems; a linear close-loop controller is designed for the pseudo linear system according to a linear system design method; and finally the linear close-loop controller, the alpha-order inverse system, and the expanded current hysteresis PWM inverters together form the nonlinear inverse decoupling controller for nonlinear dynamic decoupling control of the bearingless synchronous reluctance motor.

The invention discloses a model-free adaptive robust decoupling control method for a two-motor speed regulation system based on a neural network inversion model, which comprises the steps of: analyzing a mathematical model of the two-motor speed regulation system to obtain an input output relational expression related to an inverse system of the original system; acquiring dynamic and static data samples of the two-motor speed regulation system under the excitation of different inputs, and carrying out training on big data samples to approach an inverse system model and construct a pseudo-linear composite system; adding a tracking differentiator to arrange a transition signal, designing a model-free control compensator according to a dynamic linearization method to compensate nonlinear feedback outputs so as to inhibit influence caused by uncertain disturbance in a multi-motor speed regulation system and reduce tension overshoot caused by a step signal. According to the invention, aiming at the characteristics of nonlinearity and strong coupling of the multi-motor speed regulation system, a torque disturbance error caused by nonlinearity and a variable structure is obviously inhibited, a problem of tension step overshoot is improved, and robust decoupling capability of the system is improved.

The inverse dynamic decoupling sliding mode control system of current-controlled bearingless asynchronous motor mainly includes the original system of current-controlled bearingless asynchronous motorthe inverse system of current-controlled bearingless asynchronous motor and four sliding mode control regulators. Four sliding mode control regulators are connected to the inverse system of the current controlled bearingless asynchronous motor. The inverse system of current-controlled bearingless asynchronous motor is connected in series with the original system of current-controlled bearinglessasynchronous motor, which is decoupled into four pseudo-linear integrating subsystems by inverse analytical method, and the four pseudo-linear integrating subsystems correspond to their sliding mode control regulators to form a closed-loop control system. The invention realizes the organic combination of the inverse system dynamic decoupling control method and the sliding mode variable structure controller, It can effectively improve the dynamic decoupling control performance of bearingless asynchronous motor system, can effectively improve the anti-load torsion ability of the system, as wellas the adaptive robustness to parameter changes of bearingless asynchronous motor, and can be used for high-performance dynamic decoupling control of bearingless asynchronous motor.

The invention discloses a speed-sensor-less construction method for a bearing-less asynchronous motor, which comprises the following steps of: firstly, constructing an embedded rotating speed subsystem for an original bearingless asynchronous motor system; then, establishing a bearingless asynchronous motor rotating speed left-inverse system of the embedded rotating speed subsystem; subsequently, adopting a static neural network and two differentiators S to form a support vector machine inverse, training the support vector machine, and adjusting and determining all weight coefficients of the support vector machine so as to realize the bearing-less asynchronous motor rotating speed left-inverse system; and finally, inversely connecting the support vector machine behind the original bearing-less asynchronous motor system in series so as to finish the speed-sensor-less construction. The speed-sensor-less control strategy of the bearing-less asynchronous motor based on support vector machine left-inverse omits a mechanical speed sensor and an interface circuit thereof of the original control system, so that the cost of the control system is lowered, and rotating speed identification can be quickly and accurately carried out in the full-speed range. The speed-sensor-less construction method for a bearing-less asynchronous motor has strong adaptability, fault tolerance and robustness.

The invention provides a robust controller of an automotive chassis integrated system and a construction method. The controller is composed of an internal model controller and a support vector machine generalized inverse system, wherein the internal model controller is composed of a side slip angle internal model controller body, a yaw velocity internal model controller body and a vehicle roll angle internal model controller body, the support vector machine generalized inverse system is in series connection with the automotive chassis integrated system to form a generalized pseudo-linear system, the support vector machine generalized inverse system is composed of a support vector machine and four linear links, the generalized pseudo-linear system comprises a side slip angle linear subsystem, a yaw velocity linear subsystem and a vehicle roll angle linear subsystem, and the automotive chassis integrated system is composed of an active front steering subsystem, a direct yaw moment control subsystem and an active suspension subsystem. According to the robust controller, the defects of control methods of existing automotive chassis integrated systems are eliminated, and the decoupling control among the side direction, the longitudinal direction and the vertical direction of the automotive chassis system can be achieved.

The invention provides a ship dynamic positioning control method based on an inverse system and internal model control. The ship dynamic positioning control method comprises the following steps of 1 establishing a ship dynamic system mathematic model; 2 constructing a pseudo-linear system about a ship; 3 designing an internal model controller of an inner ring; 4 calculating a reference model of a speed ring control system; 5 designing an internal model controller of an outer ring; 6 adding coordinate system transformation; 7 designing parameters of the inner ring controller; 8 designing parameters of the outer ring controller. By means of the ship dynamic positioning control method based on the inverse system and an internal model control algorithm, the problem of ship motion control can be reasonably and efficiently solved, the robustness is good, the positioning accuracy is high, and green control can be achieved.