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87 results about "Full order" patented technology

System and methodology and adaptive, linear model predictive control based on rigorous, nonlinear process model

A methodology for process modeling and control and the software system implementation of this methodology, which includes a rigorous, nonlinear process simulation model, the generation of appropriate linear models derived from the rigorous model, and an adaptive, linear model predictive controller (MPC) that utilizes the derived linear models. A state space, multivariable, model predictive controller (MPC) is the preferred choice for the MPC since the nonlinear simulation model is analytically translated into a set of linear state equations and thus simplifies the translation of the linearized simulation equations to the modeling format required by the controller. Various other MPC modeling forms such as transfer functions, impulse response coefficients, and step response coefficients may also be used. The methodology is very general in that any model predictive controller using one of the above modeling forms can be used as the controller. The methodology also includes various modules that improve reliability and performance. For example, there is a data pretreatment module used to pre-process the plant measurements for gross error detection. A data reconciliation and parameter estimation module is then used to correct for instrumentation errors and to adjust model parameters based on current operating conditions. The full-order state space model can be reduced by the order reduction module to obtain fewer states for the controller model. Automated MPC tuning is also provided to improve control performance.
Owner:ABB AUTOMATION INC

Finite-time full-order sliding mode control method of quadrotor unmanned aircraft

The invention provides a finite-time full-order sliding mode control method of a quadrotor unmanned aircraft. For the quadrotor unmanned aircraft whose model parameters are coupled in a non-linear manner, a full-order sliding mode control method is utilized and a one-order filter is adopted to design the finite-time full-order sliding mode control method of the quadrotor unmanned aircraft. The design of full-order sliding mode surfaces ensures the rapid and stable convergence of the system. In a practical control system, two full-order sliding mode surfaces including the design position and attitude angle are degisned as inner and outer control rings to realize rapid tracking of the aircraft, and the filter is added to improve the buffeting problem. The invention provides the finite-time full-order sliding mode control method of the quadrotor unmanned aircraft, based on the condition that the system model parameters are coupled in a non-linear manner, rapid convergence to a balance point in finite time of the system is ensured, the response speed of the system is increased, the buffeting of sliding mode control input is improved, and the rapid and stable tracking performance of the system is effectively realized.
Owner:ZHEJIANG UNIV OF TECH

Flux linkage error observation-based acquisition method of full-order flux linkage observer of asynchronous motor without speed sensor

The invention discloses a flux linkage error observation-based acquisition method of a full-order flux linkage observer of an asynchronous motor without a speed sensor and belongs to the field of a speed sensorless vector control full-order flux linkage observer. The problem that the existing speed sensorless vector control system causes low observation accuracy of the full-order flux linkage observer due to larger errors of motor parameters when a motor runs at low speed, and finally, the running stability of the system is poor is solved. A full-order flux linkage observer error feedback matrix coefficient is obtained according to the following rules, namely, the pole real part of the observer is smaller than the pole real part of an asynchronous motor, the real parts are both negative numbers, the zero pole real parts of an estimation rotation speed and a transfer function are both negative numbers, the error between an estimation flux linkage and a real flux linkage is utilized, when the motor runs at low speed, the equivalence of the system is a current model, and when the motor runs at high speed, the equivalence of the system is a voltage model. The rotor flux linkage phase position error coefficient ilambda is utilized and the rotor flux linkage amplitude error coefficient k is introduced, so that the estimation rotating speed precision is increased. The flux linkage error observation-based acquisition method of the full-order flux linkage observer of the asynchronous motor without the speed sensor is particularly used in the field of speed sensorless vector control.
Owner:HARBIN INST OF TECH

Non-fragile dissipative filtering method of nonlinear networked control system

The present invention discloses a non-fragile dissipative filtering method of a nonlinear networked control system. The method comprises the steps of firstly establishing a nonlinear networked filtering error system model on the conditions of considering the time delay and the packet loss of the nonlinear networked control system and the perturbation of the filter parameters, then constructing a Lyapunov function, and then utilizing a Lyapunov stability theory and a linear matrix inequality analysis method to obtain the sufficient conditions of the mean square exponential stability of a nonlinear networked filtering error system and the existence of a non-fragile dissipative filter, utilizing a Matlab LMI tool kit to solve, and definding a non-fragile dissipative filter parameter matrix. The method of the present invention considers the random time delay and the pocket loss situations between the sensors and the filters, is suitable for the general dissipative filtering including the H-infinite filtering, and enables the conservatism of the non-fragile dissipative filter design to be reduced. Moreover, a non-modeling state of the system is considered when a full-order filter is designed, thereby being able to reduce the calculation burdens and the design cost.
Owner:毛国全

Prediction-correction algorithm-based aircraft global pneumatic optimization method

The invention discloses a prediction-correction algorithm-based aircraft global pneumatic optimization method, and aims at solving the technical problem that the conventional aircraft global pneumatic optimization methods are low in efficiency. The technical scheme is that the method disclosed in the invention comprises the following steps: firstly carrying out prediction optimization: building an agent model through collecting flow field snapshots, and carrying out preliminary screening on the design space according to a genetic algorithm so as to obtain approximate points of a global optimum point; and carrying out correction optimization: carrying out pneumatic optimizing by utilizing an adjoint gradient and a gradient optimization algorithm to ensure that the predicted approximate points are rapidly converged to the global optimum point. According to the method disclosed in the invention, a flow field order reduction model is constructed by repeatedly using the previously obtained flow field snapshots during the optimization in the step 2, so as to rapidly predict a to-be-calculated flow field, and then correction is carried out on the prediction value by utilizing a full-order flow field solver. Compared with the methods in background technology, the method disclosed in the invention has the effect of improving the calculation efficiency of the flow fields; and for the two-dimensional optimization problem, the calculation of flow field numerical values is reduced from about 200 times in the background technology to about 70 times, so that the optimization effect is remarkable.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Full-order-observer speed-sensor-less control system based on weighted errors

ActiveCN107994826ASolve the problem of low speed instabilitySimple designElectronic commutation motor controlAC motor controlLow speedControl system
The invention discloses a full-order-observer speed-sensor-less control system based on weighted errors. The full-order-observer speed-sensor-less control system comprises a SVPWM, an inverter, IM, two Clark modules, two Park modules, a reverse Park module, a full-order observer, a first comparator, a second comparator, a third comparator, a first regulator, a second regulator, a third regulator and a slip calculating module; voltage values output by the inverter are collected and converted, then the u<alpha> and the u<beta> in a two-phase static coordinate system are obtained, and then the voltage values are converted by the Park modules into the u<d> and the u<q> in a synchronous rotating coordinate system; IM three-phase currents are collected, are converted by the Clark modules into the i<s alpha> and the i<s beta> in the two-phase static coordinate system and then are converted by the Park modules into the i<sd> and the i<sq> in the synchronous rotating coordinate system; the current i<s alpha> and i<s beta> and the voltage u<alpha> and u<beta> are input through the full-order observer to obtain the estimated electric angle speed; then a series of comparing and regulating operations are carried out, the input voltage is subjected to space vector pulse width modulation through the SVPWM module, PWM waves are output to the inverter module, and the inverter drives the IM. Thefull-order-observer speed-sensor-less control system based on the weighted errors has the advantages that the problem that a traditional speed-sensor-less driving system is instable in low speed is solved, and meanwhile the low-speed running performance of the system is improved.
Owner:HEFEI UNIV OF TECH

Observing method for rotor flux linkage in vector control system of induction motor

The invention relates to an observing method of a rotor flux linkage in a vector control system of an induction motor. The observing method comprises the steps of conducting digital filter processing on acquired current signals and voltage signals by an FPGA (Field Programmable Gate Array), and removing noise interference, obtaining a three-phase current value, establishing a induction motor vector type dynamic mathematical model, constructing an observer in a full-order flux linkage state, conducting discretization on the observer in the full-order flux linkage state by adopting a high-precision four-order Runge-Kutta method, conducting real-time processing on the discretized data by utilizing a DSP (Digital Signal Processor) to realize the rotor flux linkage observation, calculating rotor flux linkage components psi r alpha and psi r beta under an alpha-beta coordinate system to complete the magnetic field orientation subjected to vector control, and determining the magnetic field orientation subjected to vector control through a formula. According to the observing method provided by the invention, the rotor flux linkage can be accurately observed under the alpha-beta coordinate system in the full revolving range without any switching mechanism; and the effectiveness and the stability of the vector control are ensured, the inhibition capability to the parameter change of the induction motor and the noise interference of the current detection is strong, and the robustness of the whole control system is promoted effectively.
Owner:CRRC QINGDAO SIFANG ROLLING STOCK RES INST

Stator flux linkage observation method, electromagnetic torque observation method and devices utilizing two methods respectively

ActiveCN103944482AOvercome points impactSolving Observational ProblemsElectronic commutation motor controlVector control systemsPermanent magnet synchronous motorClosed loop
The invention discloses a stator flux linkage observation method, an electromagnetic torque observation method and devices utilizing the two methods respectively. A full-order slip form observer is utilized to collect line voltage uab and ubc of a stator of a permanent magnet synchronous motor and current components ialpha and ibeta which are output by a current coordinate conversion unit. Effective counter electromotive force (that img file=' DDA0000503801170000011. TIF' wi= '192' he= '74' / ) is obtained by closed loop observation estimation. The integral effect of a voltage model flux linkage observer in the prior art is removed. An electromagnetic torque calculation unit is utilized to collect the effective counter electromotive force (that img file= 'DDA0000503801170000012. TIF' wi= '176' he= '73' / ) and the current components ialpha and ibeta which are output by the current coordinate conversion unit. The effective counter electromotive force (that img file= 'DDA0000503801170000013. TIF' wi= '158' he= '71' / ) is utilized to calculate the rotating speed (that img file='DDA0000503801170000014. TIF' wi= '88' he= '80' / ), and then the effective counter electromotive force (that img file= 'DDA0000503801170000015. TIF' wi= '190' he= '72' / ), the current components ialpha and ibeta and the rotating speed (that img file= 'DDA0000503801170000016. TIF' wi= '62' he= '64' / ) are utilized to calculate the stator flux linkage (that img file= 'DDA0000503801170000017. TIF' wi= '216' he= '71' / ). By means of the method, the shortcoming in the prior art of the integral effect of the voltage model flux linkage observer is overcome, a speed sensor is not required, and speed-sensor-free stator flux linkage and electromagnetic torque observation is achieved.
Owner:SUNGROW POWER SUPPLY CO LTD

Grid-side inverter resonance full-order sliding mode control method for harmonic distortion working condition of power grid voltage

The invention discloses a grid-side inverter resonance full-order sliding mode control method for the harmonic distortion working condition of the power grid voltage. According to the method, a mathematical model of a three-phase network side inverter is subjected to clark conversion, and the mathematical model of the grid-side inverter under a two-phase static alpha beta coordinate system is obtained. According to a full-order sliding mode surface model, a full-order sliding mode surface according to the mathematical model of the grid-side inverter is established. Resonance items are added into the full-order sliding mode surface so as to carry out resonance full-order sliding mode control. According to the method, by adopting the full-order sliding mode control method of the robustness of the DFIG network side inverter based on the enhanced parameter change of the model, a control method for introducing the quasi-proportional resonance into the full-order sliding mode is provided. Therefore, the suppression capacity of the full-order sliding mode control on the harmonic waves is enhanced. Meanwhile, the robustness of the full-order sliding mode control on the harmonic waves is not lost.
Owner:HARBIN INST OF TECH

Mechanical-arm servo-system neural-network full-order sliding mode control method with dead-zone compensation

A mechanical-arm servo-system neural-network full-order sliding mode control method with dead-zone compensation is disclosed. Aiming at a mechanical arm servo system which contains a dynamic execution mechanism and is with unknown dead-zone input, a full-order sliding mode control method is used and a neural network is combined so as to design the mechanical-arm servo-system neural-network full-order sliding mode control method with the dead-zone compensation. A dead zone is converted into a linear time-varying system, and then the neural network is used to approach an unknown function so as to compensate an additional influence of a traditional unknown dead zone and an unknown parameter of the system. In addition, a full-order sliding mode surface is designed so as to guarantee rapid and stable convergence of the system; generation of a differential term is avoided in an actual control system so that buffeting is improved and a singular problem is solved. The invention provides the control method which can improve a buffeting problem of the sliding mode surface, solve the singular problem and can effectively compensate a system unknown dynamic parameter and unknown dead zone input so that rapid and stable control of the system is realized.
Owner:扬州祥帆重工科技有限公司
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