11 results about "Smith predictor" patented technology

This invention discloses a time-delay-resistant and energy-saving motion control method and system for a flat-type all-wheel-drive AUV. The invention includes: constructing a six-degree-of-freedom hydrodynamic model of the AUV based on submarine maneuverability theory; identifying the setpoint pure time delay and rotational acceleration characteristics of the propeller through multi-condition testing, and constructing a nonlinear propeller dynamic model including a pure time delay element and a nonlinear rotational speed dynamic response model; constructing a composite control architecture integrating a dual-loop PID controller, a Smith predictor, and a model reference adaptive controller (MRAC); using the Smith predictor to perform explicit time delay compensation for the vertical plane motion subsystem, and using MRAC to update the adaptive gain online to compensate for model mismatch. This invention effectively suppresses high-frequency pitch angle jitter, reduces ineffective commutation movements and energy consumption of the propeller, and significantly improves the high-speed operational stability and endurance of the flat-type AUV.

The application discloses a heavy haul train control method and system based on vehicle dynamic response identification, and relates to the technical field of train control.The method comprises the following steps: dividing the carriages of the heavy haul train into multiple blocks according to the differences in the dynamic responses of different carriages of the heavy haul train; taking the tractive force or braking force of each block as input and the train speed as output to establish a vehicle operation model for each block; using a Smith predictor to compensate for the time delay characteristics of the speed of the heavy haul train under complex line conditions; when the speed variation of the heavy haul train or the acceleration variation under stepless speed regulation exceeds the set range, using a fuzzy PID-Smith time delay controller to control the output speed of the vehicle operation model; and when the speed tracking accuracy of the heavy haul train exceeds the set range, using an improved particle swarm algorithm to dynamically adjust the parameters of the fuzzy PID-Smith time delay controller.The application improves the parameter setting accuracy and the reliability of the control under the time delay characteristics of the heavy haul train.

This invention discloses a testing device for sensitive components of a linear temperature-sensitive fire detector, belonging to the field of fire detector testing technology. It includes a housing, a heating system, a temperature control system, and a heat dissipation system. The heating system employs a surface-mount heat conduction heating cavity and a matching heating device. The temperature control system is based on a PLC industrial control integrated computer. This invention designs standardized testing methods for both constant-temperature and differential-temperature alarm-type sensitive components. During the heating process, online thermal characteristic identification and predictive temperature control algorithms achieve precise regulation of the temperature rise rate. During the constant-temperature process, a Smith predictor combined with an adaptive PI algorithm achieves stable temperature control. Multiple safety protection functions are also included. This invention solves the problems of low temperature control accuracy, non-standardized testing procedures, inability to realistically simulate the temperature rise process, low testing efficiency, and potential safety hazards in existing testing methods. The testing process closely matches the actual working environment of the component, and the results meet standard testing requirements.

A control method for vehicle magnetorheological suspension based on dual-timescale separation includes: establishing an equivalent drive circuit model with time delay; separating the equivalent drive circuit model into two timescales based on singular perturbation theory to construct a fast-changing current subsystem and a slow-changing control subsystem; designing a slow-changing control subsystem controller for the slow-changing control subsystem, calculating the reference current output by the slow-changing control subsystem, and then outputting the reference current to the fast-changing current subsystem; designing a fast-changing current subsystem controller for the fast-changing current subsystem, designing a Smith predictor to compensate for the time delay, and calculating the compensated duty cycle output by the fast-changing current subsystem by combining the reference current and the non-singular reaching law; and outputting the compensated duty cycle to the equivalent drive circuit model to achieve real-time control of the magnetorheological suspension. This invention can effectively handle the multi-source time delay problem of magnetorheological suspension in two timescales, improving vehicle ride comfort and handling stability.

The application discloses a kind of self-regulating reaction kettle temperature control methods based on fuzzy Smith-PID, belong to temperature control technical field, its steps are: first, the first-order inertia model of reaction kettle temperature system is obtained, then the temperature error and error change quantity are fuzzed, fuzzy rule is formulated, then the real-time PID parameter value is obtained by fuzzy rule table, self-regulating control is realized, finally, the Smith predictor model of reaction kettle is obtained by offline test method, and is brought into system to obtain the self-regulating reaction kettle temperature control method based on fuzzy Smith-PID.The method of the application is aimed at the large lag, nonlinearity, strong interference of reaction kettle temperature control system, the self-regulating of controller is realized by the method of fuzzy Smith-PID, and the stability and response speed of system are improved, and the application field of reaction kettle system is widened.

The application provides a kind of heat-assisted pair wheel spinning temperature control method based on deep reinforcement learning, belongs to the technical field of temperature control, the present application reconstructs the full-field temperature distribution of blank by fusing infrared array sparse measuring point and heat conduction equation residual through physical information neural network;With the realization of thermal response lag compensation by combining the principle of Smith predictor with the condition variation cycle strategy model of thermal-mechanical dual modal fusion;With the joint training of multi-flame gun strategy network in the framework of centralized training and decentralized execution, the coupled thermal field of multiple guns is optimized collaboratively;With Lyapunov guide safety exploration algorithm to perform gradient projection on each power regulation action, ensure that the system state is continuously in the thermodynamic safety domain;With the isomorphism migration strategy alignment algorithm to match similar working conditions from the historical working condition library and generate target working condition strategy initialization parameters;Solved the technical problem that the coupled thermal field of multiple flame guns is difficult to achieve precise closed-loop temperature control in the process of heat-assisted pair wheel spinning under dynamic spinning conditions.

This application relates to an intelligent environmental collaborative control method and system for plant cultivation in confined spaces. The method includes: collecting multidimensional environmental and plant phenotypic data to generate an input state vector containing the errors and rates of change of each parameter; inputting the input state vector in parallel into a fuzzy controller with a built-in coupled rule base, and outputting a preliminary decision vector through inference; using an improved particle swarm optimization algorithm with time multiplication by the integral of absolute error as the objective to optimize the quantization factor and scaling factor of the fuzzy controller, generating a control decision vector; addressing system feedback delay by connecting Smith predictors in parallel to each loop, utilizing delay-free predictive output to participate in feedback regulation in advance, eliminating lag effects, and obtaining a compensated final control command vector; monitoring photovoltaic power generation and battery status, running a variable-step MPPT algorithm to calculate available power, and if power supply is insufficient, initiating an energy consumption optimization strategy to adjust the load or regenerating and executing commands.

The application discloses a kind of flat full-drive AUV anti-latency energy-saving motion control method and system.The application includes: constructing the six-degree-of-freedom hydrodynamics model of AUV based on the theory of submarine maneuverability;Through multi-condition test identification, the constant value of the pure lag time of propeller and the speed acceleration characteristic are identified, and the nonlinear propeller dynamics model including the pure lag link and the nonlinear speed dynamic response model is constructed;A composite control architecture integrating double-loop PID, Smith predictor and model reference adaptive controller (MRAC) is constructed;Smith predictor is used to compensate for the explicit time delay of the vertical plane motion subsystem, and MRAC is used to update the adaptive gain online to compensate for the model mismatch.The application can effectively suppress the high-frequency jitter of pitch angle, reduce the invalid commutation action and energy consumption of the propeller, and significantly improve the high-speed operation stability and endurance of the flat AUV.

This invention discloses a highly robust deadbeat-free predictive current control method, applicable to the current control of dual three-phase permanent magnet motor drive systems, belonging to the field of permanent magnet motor control technology. The main steps of this invention are: reconstructing the motor mathematical model using a space vector decoupling matrix and Park transformation, to obtain... dqxy The invention presents the following: motor voltage equations under the shaft; a linear extended state observer is designed; a reference value for the output voltage vector is obtained by combining deadbeat predictive current control; the time delay in the digital control system is calculated and the angle delay is compensated; a closed-loop Smith predictor is designed to compensate for the time delay, thus achieving highly robust deadbeat predictive current control for the dual three-phase permanent magnet motor. The current loop design in this invention is independent of motor parameters and exhibits strong robustness to parameter variations. By introducing a closed-loop Smith predictor, this invention can effectively compensate for large system delays and achieve high-precision current tracking at low switching frequencies.

The application discloses a capacitor production equipment self-adaptive temperature regulating system and belongs to the technical field of industrial automation control. The system comprises a temperature signal processing module, a variable universe fuzzy adaptive PID control module, an adaptive lag compensation module, a multi-modal strategy scheduling module, a multi-source disturbance compensation module and a control output module. The application adopts variable universe fuzzy reasoning to realize online self-tuning of PID parameters, dynamically updates Smith predictor parameters through online identification technology to compensate system pure lag, automatically switches control strategies according to working conditions and restricts temperature rising rate, and simultaneously compensates for heating element aging and environmental temperature changes. The application solves the technical problems of the prior art, such as fixed parameters of a temperature control system, difficulty in adapting to working condition changes, inaccurate lag compensation and weak anti-disturbance ability, and realizes high-precision and high-robustness adaptive control of the temperature of the capacitor production equipment.