50results about How to "High steady state accuracy" patented technology

The invention proposes an ultra-wideband power grid simulation method based on improved repetitive control, and the method comprises the steps: carrying out the reconstruction of a repetitive controller from an internal model and a compensator, and obtaining a self-adaptive control inner loop system matched with the compensator through deduction; secondly, a plurality of internal model branches considering the normal deviation of the power grid frequency are connected in parallel, delay parameters of each branch are accurately designed by using a fractional order delay filter, and improvement is performed by using a compensator, so that the requirement of ultra-wideband high-performance output of the power grid simulator is met.

The invention discloses a network construction type converter control method and device based on virtual excitation and terminal equipment, an internal potential amplitude is calculated according to a voltage effective value of a grid connection point and a preset voltage reference value by setting an internal potential amplitude generation model, and specifically, a plurality of PID control units are set in the internal potential amplitude generation model, and the internal potential amplitude is calculated according to the voltage effective value of the grid connection point and the preset voltage reference value. And the PID control unit is adopted, so that the response capability of the network-forming converter to disturbance can be effectively enhanced, and rapid adjustment of the internal potential is realized. Secondly, delaying an output result of the PID control unit through the inertia unit so as to maintain the stability of an internal potential amplitude, and then carrying out filtering compensation on the output result of the PID control unit through the correction unit. Therefore, the internal potential is adjusted through the internal potential amplitude generation model to maintain the network construction characteristic to the greatest extent, so that the voltage adjusting function of the converter is enhanced, the grid-connected point voltage level of the network construction converter is maintained, and meanwhile, good dynamic response performance is achieved after an external system is disturbed.

The invention discloses an electric energy metering method and device based on harmonic self-adaptive observation and zero point tracking type SOGI-FLL. The electric energy metering method comprises the following steps: step 1, carrying out ADC sampling on voltage and current signals of a power grid; 2, performing frequency rapid estimation on the voltage signal based on a zero point tracking frequency-locked loop, and obtaining a fundamental wave angular frequency of a power grid in real time; step 3, constructing adaptive observers of voltage and current by using the fundamental wave angular frequency, and estimating parameters of fundamental waves, harmonic waves and direct current components in voltage and current signals in real time through an adaptive law based on Lyapunov stability; 4, according to the parameter estimation value, the amplitude and phase of the voltage and current are calculated; and step 5, calculating active power and reactive power of each harmonic based on the voltage and current amplitudes and phases obtained in the step 4, and summing to obtain total active power and total reactive power so as to realize metering of active electric energy and reactive electric energy. According to the invention, rapid and accurate metering of fundamental wave and harmonic wave electric energy under complex working conditions is realized.

The invention provides a lag correction controller acquisition method, a controller, a system and a storage medium. The method comprises the following steps: acquiring a target gain of the electromechanical servo system and a current loop transfer function of a motor in the electromechanical servo system; determining a corrected initial transfer function of the electromechanical servo system according to the target gain and the current loop transfer function; determining the cut-off frequency of the electromechanical servo system according to the initial transfer function; when it is determined that the cut-off frequency exceeds the system bandwidth required to be designed by the electromechanical servo system, a target pole generated by correcting the electromechanical servo system and a target zero point matched with the target pole are obtained; and determining a target transfer function of the electromechanical servo system according to the target pole, the target zero point and the initial transfer function. According to the embodiment of the invention, the target transfer function increases the offset target pole and target zero point, has good current responsivity, and ensures that the open-loop system has good phase margin.

The present invention provides a hierarchical multi-loop control method for a manipulator for compliant assembly of electronic components. The design reference trajectory, impedance force and the environmental impedance force of the previous cycle are input into the impedance feature knowledge base of the electronic component assembly scene to obtain the design impedance trajectory of the manipulator joint, and the difference is calculated with the position information of the manipulator joint. The control variable is predicted by the MPC cycle output model, and the auxiliary control variable is obtained by summing with the IHOSMC cycle output. The control torque of the manipulator system is obtained by the inverse dynamics control cycle equation, and then the joint angle variable and the output trajectory of the end effector are obtained. The environmental impedance force is obtained in combination with the environmental information; when the output trajectory of the end effector is equal to the design impedance trajectory and the environmental impedance force is equal to the design impedance force, the manipulator system is stable, and the assembly of electronic components is performed according to the output trajectory and environmental impedance force at this time. The present invention has the characteristics of high assembly accuracy and fast response speed.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention discloses a plasma activated water preparation system based on fuzzy PID (Proportion Integration Differentiation) adaptive temperature and power matching cooperative control. The plasma activated water preparation system comprises a human-computer interface, a main controller, a temperature / power sensor, a parallel double fuzzy PID controller, an intelligent coordinator, a power / temperature actuator and a plasma reaction machine, a temperature / power sensor sends a water body temperature Tfb and a discharge power Pfb to a main controller in real time, a temperature fuzzy PID controller and a power fuzzy PID controller output suggested powers Ut and Up, an intelligent coordinator outputs a final power instruction and a cooling control signal after arbitration according to a state machine that Tfb is smaller than or equal to Tset normal power, Tfb is larger than Tset and Pfb is larger than Pmin and power is preferentially reduced, and Tfb is larger than Tset and Pfb is smaller than or equal to Pmin and is forcibly cooled. And the power actuator continuously adjusts the discharge power according to the discharge power, and the temperature actuator implements auxiliary heat dissipation, so that the water temperature is accurately locked in the optimal active matter generation interval under the nonlinear and time-varying working conditions, the discharge intensity is ensured not to be lower than Pmin, and high-activity, high-energy-efficiency, continuous and stable plasma activated water preparation is realized.

The present invention discloses a fuzzy control method for the cooling capacity of a liquid cooling unit, a liquid cooling unit and an energy storage system, and relates to the technical field of refrigeration equipment control methods, which includes taking the temperature control error e of the liquid cooling unit as an input quantity, and taking at least one controllable parameter of the liquid cooling unit as a control quantity, to establish a fuzzy control system; the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e, so as to reduce the temperature control error e. The present invention mainly solves the problem that traditional automatic control theory is difficult to bring good control effects to liquid cooling units; compared with traditional temperature control systems, the present invention has the characteristics of short response time, small overshoot, high steady-state accuracy, rapid recovery to steady state when encountering interference, and good dynamic and static performance. At the same time, it also has strong adaptability to the inertial lag temperature link, thereby bringing better temperature control effects to the energy storage system.

The invention discloses an attention learning mechanism-based inverter model control prediction method, system and device, and a storage medium, and the method comprises the steps: pre-constructing a three-phase inverter simulation model, carrying out the real-time sampling of a state signal through employing an MPC controller, and obtaining a signal characteristic set; performing feature selection on the signal feature set, and extracting feature data; setting a screening threshold to screen the feature data, and taking the screened feature data as optimal features; inputting the optimal feature into a pre-trained machine learning model module to obtain a prediction result of the control signal of the three-phase inverter; the control performance can be improved while more calculation amount and communication traffic are reduced.

This invention belongs to the technical field of motor control and discloses a model predictive control method and system for effectively suppressing the second harmonic of a permanent magnet synchronous motor. The method includes the following steps: obtaining the three-phase input current of the permanent magnet synchronous motor at the current moment, converting the three-phase input current into a sum-i current in a coordinate system; extracting the two orthogonal components of the second harmonic at the current moment from the transfer function of the current input to a second-order generalized integrator; calculating the second harmonic component at the next moment using the two orthogonal components of the second harmonic at the current moment; compensating the fundamental current reference command at the next moment using the second harmonic component at the next moment, obtaining the compensated fundamental current reference command at the next moment, thus achieving the suppression of the second harmonic current at the next moment. This invention solves the problem of not suppressing the second harmonic in the control of permanent magnet synchronous motors.

The present application relates to air conditioning technology field, specifically to a kind of laboratory heating and ventilation load prediction and self-adaptive control method.The present application is packaged by synchronizing infrared frame and power sampling time scale, aligns and generates heat diffusion evolution rate.Combined with power jump and temperature rise time, establish heterogeneous dynamics coupling model.Extract physical evolution parameter as mechanism operator injection prediction model hidden layer, reconstruct phase space and calculate air load increment in lag window.Based on heat exchange characteristics, reverse mapping is executed to generate feedforward instruction, which is issued and dynamically corrected weight when rate exceeds threshold, to complete closed-loop correction.The present application performs deep coupling of feedforward prediction compensation and feedback residual adjustment, and realizes precise control of laboratory air volume and cold and heat load.

The invention discloses a human-machine interaction control method based on a logarithmic sliding mode observer, which consists of the following steps: step S1: obtaining dynamic information of human-machine interaction, performing data processing, and calculating the control law of the human-machine interaction process; step S2: calculating the rate of change of the adaptive law according to the data in step S1, and updating the adaptive gain; step S3: calculating the operation behavior estimation of the current cycle according to the observer algorithm and the control law in step S1; step S4: updating the adaptive observation parameters according to the operation behavior estimation in step S3, completing the closed-loop iteration of the algorithm, and ensuring the stability of system tracking control and operation behavior estimation under actual limited time conditions; the invention avoids the necessity of assembling expensive force / torque sensors in human-machine interaction, can quickly respond to the reference trajectory generated by the operation behavior, and at the same time ensures high steady-state accuracy, ensuring that the task process fully reflects the control intention of the operator.

This invention belongs to the field of intelligent fitness equipment technology, and provides a zoned temperature-controlled therapeutic intelligent yoga mat and its control method. The yoga mat includes: a mat body, which is composed of an antibacterial sensing layer, a zoned heating layer, an intelligent spacing layer, a cushioning layer, and an adjustable friction bottom layer; the zoned heating layer contains multiple independent heating units, corresponding to the abdominal, hand and foot, and spinal areas respectively; an intelligent control module, which independently and precisely controls the temperature of each area based on the different target temperatures set by the user for each independent heating unit through an interactive terminal, combined with feedback from the zoned temperature sensors; the intelligent spacing layer integrates optical guide lines and a pressure sensor array to provide posture reference and sense the center of gravity distribution, providing real-time posture feedback to the user in conjunction with the intelligent control module. This invention solves the problems of existing heated yoga mats, such as single heating mode, lack of interactive guidance, difficulty in adapting to multiple scenarios, and in achieving precise therapeutic effects, thus improving safety, comfort, and exercise effectiveness.

The invention discloses an air pre-heater temperature control optimization method for thermal power generation, and belongs to the technical field of control optimization, and the method comprises the steps: constructing an air pre-heater inlet air temperature PID control system, obtaining an actual air temperature feedback value through an inlet air temperature monitoring module, and transmitting the actual air temperature feedback value to an inlet air temperature error calculation module; the inlet air temperature error calculation module receives the target temperature value and compares the target temperature with a feedback value so as to calculate and output a real-time error signal and transmit the real-time error signal to the inlet air temperature PID controller module, and the inlet air temperature PID controller module subjected to parameter optimization calculates a control quantity according to the real-time error signal; and the control quantity is output to the inlet air temperature adjusting module so as to adjust the inlet air temperature of the air pre-heater. The risk of corrosion and dust deposition of the low-temperature section of the air pre-heater can be effectively reduced, and the high use value is achieved for guaranteeing safe operation of a thermal power generation system and improving the fine operation level.

This invention relates to the field of voice coil motor servo control technology, specifically to a fractional-order high-order sliding mode control method for voice coil motors based on a third-order superspiral sliding mode observer (STSMO) and an adaptive reaching law. The method includes the following steps: S1, establishing a mathematical model of the voice coil motor, deriving the dynamic equations of the voice coil motor including parameter uncertainties and external disturbances, defining the position tracking error, and deriving the error dynamic equation; S2, designing a fractional-order high-order integral sliding surface, combining it with an improved Oustaloup filter to achieve rational function approximation of the fractional-order calculus operator, and constructing the first-order derivative equation of the sliding surface; S3, designing an adaptive hyperbolic tangent reaching law that integrates dynamic feedback of the error amplitude, and deriving the initial expression of the sliding mode control law based on the first-order derivative equation of the sliding surface and the adaptive hyperbolic tangent reaching law. This invention achieves real-time accurate observation and feedforward compensation of lumped disturbances through a third-order superspiral sliding mode observer (STSMO).

The application discloses a three-level full-bridge dual active bridge converter and a midpoint potential balance control method. The converter comprises a high-frequency transformer, a DC input voltage source is arranged on the primary side of the high-frequency transformer, and series-connected upper and lower capacitors are connected between the positive and negative electrodes of the DC input voltage source. Three-level half-bridge A and three-level half-bridge B are connected in parallel, a node between the upper and lower capacitors is connected to the midpoint of two clamping diodes of the two three-level half-bridges, the center point of the three-level half-bridge A is connected to one end of the primary side of the high-frequency transformer through a power transmission inductor, and the center point of the three-level half-bridge A is connected to the other end of the primary side of the high-frequency transformer through a DC isolation capacitor. In the control method, the primary side power device is divided into a fixed 50% duty ratio basic bridge arm and a non-symmetrical duty ratio adjusting bridge arm, a PI voltage balance loop is constructed by taking the voltage difference of the two capacitors as feedback, the duty ratio of the adjusting bridge arm is dynamically adjusted, the average value of the midpoint current is changed, and the midpoint potential balance is realized.

The invention discloses a relaxation fluctuation suppression method influenced by temperature change of an optical pump atom magnetometer, and the method comprises the following steps: constructing a relaxation noise model influenced by temperature based on the optical pump atom magnetometer, the relaxation noise model comprising a mapping relation between a measurement error of the optical pump atom magnetometer and a gas chamber temperature of an environment where the relaxation noise model is located; based on the mapping relation and the heat transfer principle, an air chamber heating thermal model is constructed, and the air chamber heating thermal model describes the dynamic relation between the heating film input voltage and the air chamber temperature; updating parameters of the air chamber heating thermal model in real time by applying a self-adaptive model predictive control algorithm; on the basis of the updated thermal model parameters, model predictive control algorithm control is executed so as to restrain air chamber temperature fluctuation, and then relaxation fluctuation of atoms in the optical pump atom magnetometer is restrained; the establishment time and overshoot of air chamber heating are effectively reduced, the low-frequency noise level of the optical pump atom magnetometer is reduced, and the measurement sensitivity is improved.

This disclosure provides a disturbance suppression method for grid-connected energy storage converters. By introducing an improved timing disturbance observer, it achieves rapid and accurate estimation of lumped disturbances such as grid voltage fluctuations and load abrupt changes. Combined with an adaptive sliding mode control algorithm, it dynamically adjusts the switching gain based on the sliding mode surface error, forming an observation-compensation closed-loop suppression mechanism. Simultaneously, relying on a multi-loop collaborative architecture consisting of voltage outer-loop sliding mode control, current inner-loop PR control, and capacitor voltage balance PI control, it achieves hierarchical suppression and decoupled control of multi-dimensional disturbances. Furthermore, it introduces a parameter adaptive optimization mechanism based on disturbance characteristics and device temperature, thereby significantly improving the dynamic response speed and steady-state accuracy of the system under weak grid conditions and complex operating conditions, reducing the DC voltage fluctuation amplitude, and comprehensively improving the system's stability, power quality, and wide-temperature-range operational reliability.

The invention relates to the technical field of semiconductor manufacturing equipment, in particular to a pressure control system of a wafer vertical process furnace. Comprising a process chamber; the gas inlet unit supplies process gas to the process chamber; the exhaust unit comprises a vacuum exhaust loop, a normal pressure / micro-positive pressure exhaust loop and an interlocking mechanism; the vacuum exhaust loop vacuumizes the process chamber to a vacuum or low-pressure state; the normal-pressure / micro-positive-pressure exhaust loop is used for exhausting when the process chamber is in a normal-pressure or micro-positive-pressure state; the interlocking mechanism is used for ensuring that only one loop is conducted with the process chamber; the sensing unit comprises a pressure sensor for monitoring the pressure in the process chamber; and the central control unit selectively conducts the vacuum exhaust loop or the normal pressure / micro-positive pressure exhaust loop through an interlocking mechanism. The pressure control system solves the problems of poor safety, low control precision and insufficient automation degree caused by single function or low integration level of the pressure control system of the wafer process furnace in the prior art.

The invention belongs to the technical field of optical storage all-in-one machine control, and particularly relates to an optical storage all-in-one machine bidirectional converter control method based on a virtual synchronous generator. Comprising the following steps: S1, establishing a traditional VSG controller mathematical model; s2, carrying out adaptive rule design; s3, virtual inertia control considering the charge state of the energy storage unit is carried out; s4, the adaptive filtering is fused into the SOGI phase-locked loop; aiming at the problem of low precision of a phase-locked loop in a traditional all-in-one machine, an improved phase-locked loop technology is introduced, the phase detection precision is improved, accurate acquisition of frequency and phase is ensured, and the stability of a system is enhanced; the virtual inertia value can be adjusted in real time according to the SOC of the energy storage unit, the energy storage unit is prevented from being overcharged or overdischarged, and the service life of the energy storage unit is prolonged.

The present application relates to the technical field of metal powder processing, and discloses a high-temperature uniform heating hot isostatic pressing equipment and system for metal powder processing, which comprises an equipment rack, vertical guide sliding blocks are arranged on both sides of the inside of the equipment rack, a pressurizing transmission screw rod is assembled in the middle of the equipment rack, the top end of the pressurizing transmission screw rod extends out of the top of the equipment rack, and a hand wheel pressurizing assembly is fixedly installed at the top end of the pressurizing transmission screw rod. Through the design of the multi-source signal synchronous acquisition module, the acquisition architecture of the real-time temperature of each heating zone, the multi-point distributed temperature in the zone, the actual opening of the valve, the gas inlet temperature and pressure and other data is established, the simple mode of relying on only a single or a small number of temperature sensors for centralized feedback of the traditional equipment is changed, and the technical problems of lacking fine perception of the temperature state of the multi-zone in the cylinder and structural blind area in the temperature field perception level are solved.

The invention discloses an integrated controllable brake shaft for an explosion-proof electromagnetic mine car, and belongs to the technical field of brake shafts of explosion-proof electromagnetic mine cars. An integrated controllable moving shaft for an explosion-proof electromagnetic mine car comprises a mine car body and four rollers arranged at the bottom of the mine car body. According to the integrated controllable movable shaft for the explosion-proof type electromagnetic mine car, flowing and backflow of brake oil can flow through an oil flow groove, a turbine fan can be driven to rotate at a high speed, the turbine fan rotates to enable a fan shaft to drive a cooling fan to rotate at a high speed through a driving gear and a driven gear, the cooling fan rotates to generate wind, the wind is gathered through a wind gathering box, and the wind is gathered through a fan shaft. And then air is discharged through the air outlet, the air cooling pipe and the air gathering opening, so that the brake is conveniently cooled in real time, the brake is synchronously cooled in real time in the braking and braking releasing process, the heat dissipation efficiency of the brake can be improved, abrasion of the brake is reduced, and the service life of the brake and the service life of a brake disc are prolonged.

The application discloses a kind of precision manufacturing annular permanent magnet synchronous motor anti-interference control methods, comprising:1, design annular permanent magnet synchronous motor;2, according to the annular permanent magnet synchronous motor of design constructs annular permanent magnet synchronous motor second-order motion equation;3, based on annular permanent magnet synchronous motor second-order motion equation, constructs adaptive nonlinear disturbance observer;4, based on fixed time control principle, design single-loop speed-current fixed time controller and fixed time d-axis current controller, obtain q-axis reference voltage and d-axis reference voltage.The application can improve the response speed of annular permanent magnet synchronous motor, steady precision, control bandwidth, and then improve the machining precision of precision manufacturing system.

The invention discloses a single-stage AC-DC converter control method, system, device and equipment and a storage medium, and belongs to the field of electric energy conversion, and the method comprises the steps: simplifying a duty ratio expression according to a whole power factor control strategy, and obtaining a simplified conduction duty ratio; determining a Taylor expansion point according to the simplified conduction duty ratio to obtain theoretical conduction time; timing is started from the switch conduction moment of the current switching period until demagnetization is detected to be finished, counting is carried out, a predicted value of the next switching period is obtained, and a conduction time predicted value of the next switching period is determined based on the theoretical conduction time; and determining the conduction time correction based on output voltage closed-loop control, and superposing the conduction time predicted value of the next switching period and the conduction time correction to obtain the final switching conduction time so as to realize control of the single-stage AC / DC converter. According to the invention, the equivalent switching frequency can be improved, the power density of switching power supply products is improved, the device stress is reduced, and the model selection cost is reduced.

The invention relates to the technical field of intelligent compensation control, in particular to a linear time-invariant ball screw driving system control method based on self-adaptive control. The method comprises the following steps: establishing a state space model of a system; designing a baseline controller, obtaining a state feedback gain by solving a linear matrix inequality, and generating a baseline control signal; calculating a steady-state gain, and filtering the reference input signal to generate a steady-state feed-forward control signal; constructing a state predictor, estimating the total uncertainty on line, decomposing the total uncertainty into matching and mismatching signals, generating matching and mismatching compensation signals after gain mapping and low-pass filter band limiting processing, and synthesizing the matching and mismatching compensation signals into self-adaptive compensation signals; and superposing the three paths of signals to obtain a master control signal, and after amplitude saturation and change rate limitation, outputting a system to input a signal driving system. According to the control method provided by the invention, the tracking precision of the ball screw system and the resistance to uncertain factors and external disturbance are effectively improved.

This invention provides a frequency control method and system for a digitally controlled oscillator, relating to the technical field of frequency control for digitally controlled oscillators. The method includes obtaining the current gate length value of the digitally controlled oscillator, performing gate counting on the output clock of the oscillator based on the current gate length value to obtain an in-gate counting sequence, calculating a noise estimate based on the in-gate counting sequence, determining a target gate length value based on the noise estimate, determining an instantaneous frequency ratio based on the target gate length value, calculating a smoothing factor based on the noise estimate and the target gate length value, smoothing the instantaneous frequency ratio based on the smoothing factor to obtain a smoothed frequency ratio, determining a target frequency tuning word based on the smoothed frequency ratio, and adjusting the output frequency of the digitally controlled oscillator based on the target frequency tuning word. This method improves the dynamic performance, steady-state accuracy, and environmental adaptability of the digitally controlled oscillator's frequency control.

The application discloses a high-frequency resonant closed-loop control system based on IGBT and a closed-loop control method thereof, and the system comprises the following steps: an inverter unit is composed of N IGBT inverter modules in parallel; a signal acquisition module acquires load electrical parameter signals; a frequency control module generates a frequency instruction according to the phase of the electrical parameter signals; a power control module generates an adjusting instruction according to the comparison between the amplitude of the electrical parameter signals and an external given value; a driving module comprises N inverter module driving channels and one BUCK chopper driving channel, the frequency instruction is used for controlling the inverter module driving channels to output out-of-phase switching sequences so that the equivalent frequency of the load is N times of the actual frequency of each module, and the adjusting instruction is used for controlling the BUCK chopper driving channel to output a variable duty cycle switching sequence to realize power control through voltage regulation; the signal acquisition module is connected with the frequency control module and the driving module to form a frequency tracking closed loop, and is connected with the power control module and the driving module to form a power tracking closed loop.

The invention discloses an alternating current servo system control method for controlling the stability of an obstacle breaking vehicle body, and the method comprises the steps: constructing an unscented Kalman filter (UKF) load observer based on the UKF, and estimating a load torque value and the rotor angular speed of a permanent magnet synchronous motor in real time through the UKF load observer; feeding back a rotor angular velocity output based on a UKF load observer to an extended state observer (ESO), introducing a load torque value as a feedforward compensation amount into an NLSEF control law, introducing a Newton-Raphson optimization algorithm (NRBO), and performing global optimization on parameters of an active disturbance rejection controller (ADRC) by taking an improved ITAE index as a fitness function; compared with the prior art, the method can improve the tracking precision and the anti-interference performance of the barrier-breaking vehicle under the complex dynamic working condition, and guarantees the stability of the barrier-breaking vehicle body in the advancing process.

The present invention provides an engine control method and system based on a throttle valve, and relates to the technical field of engine control. The method comprises: combining the gas pressure upstream and downstream of the throttle valve, establishing an engine dynamics model with a throttle valve opening and an engine theoretical output power; linearizing the engine dynamics model under the engine idle condition, and outputting a linearized transfer function model of the engine; constructing an engine disturbance observer; calculating a power deviation value between the current engine output power and the target engine output power; based on the power deviation value, constructing an engine fractional-order PID controller in combination with the disturbance observation value of the disturbance observer as an active compensation item; obtaining a current disturbance estimation value of the engine by using the disturbance observer; inputting the current disturbance estimation value into the fractional-order PID controller, and outputting an actual throttle valve opening; and controlling the engine according to the actual throttle valve opening. The engine control accuracy is improved, and the overshoot phenomenon is reduced.

This invention relates to the field of motor control technology, and in particular to a segmented hybrid predictive torque control method for permanent magnet synchronous motors under low carrier ratios. This method first monitors the motor's operating status in real time and dynamically divides it into a large-error transient region, a small-error adjustment region, and a steady-state ripple suppression region based on torque error, flux linkage error, and speed. For each region, three hybrid strategies are employed: multi-vector model predictive control, a hybrid strategy of model predictive control and duty cycle modulation, and an improved model predictive control based on disturbance observation compensation. This invention, through a partitioned matching strategy, effectively solves the problems of low model prediction accuracy and prominent contradictions between dynamic response and steady-state ripple in traditional predictive torque control at low switching frequencies, significantly improving the system's control performance, accuracy, and robustness across the entire operating range, and is particularly suitable for medium- and high-voltage high-power drive applications.