32 results about "Adaptive control theory" patented technology

The invention discloses a predictive control method and device of a piezoelectric ceramic actuator on the basis of the neural network. The predictive control method includes modeling the piezoelectric ceramic actuator by the multilayer neural network to obtain a neural network model of the piezoelectric ceramic actuator; adopting the neural network model to obtain a synchronous linearized model in each sampling period; adopting the synchronous linearized model to obtain a predictive controller and optimizing the predictive controller; controlling displacement of the piezoelectric ceramic actuator on the basis of the synchronous linearized model and the corresponding predictive controller. On the basis of relevant content of the self-adaption control theory, displacement of the piezoelectric ceramic actuator is controlled in real time by means of a plurality of linear approximate models and the predictive controller on the basis of the neural network, the inherent problem of delay of the piezoelectric ceramic actuator is overcome, and displacement of the piezoelectric ceramic actuator is tracked and controlled in real time.

The invention discloses a servo motor control method integrating sliding mode control and fractional order neural network control. The servo motor control method comprises the following steps of A, establishing a numerical model of a servo motor, and describing the numerical model of the servo motor, so as to obtain the output, speed error and speed error derivative of the servo motor; B, according to the speed error and the speed error derivative of the servo motor, designing a fractional order sliding mode controller, so as to obtain a sliding mode control rule for inhibiting the buffet of the system; C, adopting a neutral network approximating algorithm to approximate the obtained sliding mode control rule, so as to obtain the approximated sliding mode control rule; D, adopting a self-adaptive control method to adjust the approximated sliding mode control rule on line, so as to obtain a final control rule of the servo motor; according to the final control rule, controlling the servo motor. The servo motor control method has the advantages that the sliding mode control theory and the fractional order neural network adaptive control theory are integrated, the robustness is high, and the tracking property is good; the servo motor control method can be widely applied to the field of industrial control.

This invention, relating to automatic measure technology realm, discloses a control system for automatic batch weighing powdered solid dye in textile dyeing and finishing industry, which is composed by an upper machine, a lower machine and a high-precision electronic scale, also defines as high-precision and automatic batching and dyeing control apparatus adopting modern automatic control technology to make the batching course supermatic. Wherein, the lower machine comprises multi-axis motion control card and electric control cabinet; the upper machine is linked to multi-axis motion control card via PCI bus, and forms a closed-loop feedback system with said scale; upper machine and the scale are separately connected to A.C. regulated power supply. The system adopts advanced control means based on machine learning, optimality principle, adaptive control theory and computer net technology to solve problem of precision in batching and dynamic weighing powder dye.

The invention relates to a maritime traffic control method. The method includes the following steps: firstly, acquiring real-time and historical location information of ships through sea surface radar; secondly, at each sampling time, predicating tracks of the ships in the future period of time in a rolling mode according to the real-time and historical location information of the ships; thirdly, acquiring values of sea wind field variables on the basis of the current running status of the ships and a historical position observing sequence; fourthly, on the basis of the running status of each ship and a set security rule set needing to be satisfied when the ships run in the sea, monitoring dynamic behaviors of the ships and providing timely warning information to a maritime traffic control center; fifthly, when the warning information appears, under the premise that physical properties of the ships and sea traffic rules are satisfied, by setting an optimizing indicator function and integrating the wind-field variable values, adopting an adaptive control theory method to perform rolling planning on the collision avoidance tracks of the ships, and transmitting planning results to all the ships to be executed. The tracks are predicated and planned in real time, so that security is good.

The invention discloses a water supply pipe network on-line modeling method based on ARX. The water supply pipe network on-line modeling method based on ARX includes the steps that real-time operating data of a pipe network system are set up, and an input and output process model of the system is built, wherein a real-time operating data base comprises real-time input data and real-time output data of the system, the input data comprise supply water pressure of a water plant, the amount of water supply of the water plant, the pressure and flow of a booster pump station in a pipe network, and the switch-on degree of a controllable valve on a pipe, and the output data comprise the pressure of a pressure monitor point, the flow of a flow detection point and the water level of an impounding reservoir; on the basis of a real-time process operating data set of the water supply pipe network, an ARX model in a discrete difference equation mode is built; finally, parameters of the model are estimated in real time. The parameters of the model can be estimated online and in real time, state changes of the water supply pipe network are tracked in real time and predicted, the model is simple in structure and high in robustness, and by combination of the prediction control theory and the self-adaptation control theory, the water supply pipe network can be optimized and dispatched in real time.

The invention discloses a driving motor control method of an electric vehicle. The method comprises the following steps: wheel hub motors are mounted in a left steering wheel and a right steering wheel or at the sides of the wheels of the electric vehicle for driving the wheels, and rotating speed sensors are mounted on the steering wheels for detecting real-time speeds of the wheels; and the differential steering of the electric vehicle is realized by using different rotating speeds of the left and right wheels in a wheel hub motor driving mode through an all-wheel active steering control method based on the self-adaptive control theory. As the motors are mounted in the two steering wheels or at the sides of the wheels for driving the wheels, the vehicle structure is simplified to a great extent; and the differential steering is realized by using the different rotating speeds of the left and right wheels, so that a vehicle steering system is not needed, and the production difficulty and the production cost are reduced.

The invention discloses a self-adaptive active steering control method capable of improving handling stability of a tractor-trailer. The self-adaptive active steering control method is characterized by including the following steps that a vehicle dynamic mathematical model is deduced according to the dynamic characteristics of the tractor-trailer, and the characteristics of the vehicle dynamic mathematical model are analyzed; an ideal steering model free of inner wheel differences is designed, and an actual vehicle is made to track the ideal steering module to reduce the inner wheel differences as much as possible or eliminate the inner wheel differences; the self-adaptive control theory with high robustness is adopted, a self-adaptive control algorithm which makes the actual vehicle to track the ideal steering model is developed, simulation analysis is conducted, and the tractor-trailer is effectively controlled to actively steer in a self-adaptive mode. Through the self-adaptive active steering control method, the actual tractor-trailer can achieve the design performance of the ideal steering model, and the inner wheel differences are eliminated.

The invention relates to a planning method for ship conflict release. The method comprises the steps that firstly, shape tracks, speculated at each sampling moment, of all ships in a future time period are acquired through a maritime traffic control center; sequences are observed on the basis of current operation states and historic positions of the ships, and sea area wind field variables are obtained; then at on the basis of the operation states of all the ships and a set safety rule set which is required to be met by the ships in the sea area during the operation each sampling moment, when a condition which might violate safety rules occurs among the ships, dynamic behaviors of the ships are monitored, and timely warning information is provided for the maritime traffic control center; finally, when the warning information occurs, on the premise that ship physical properties and sea area traffic rules are met, rolling planning is performed on a ship collision avoidance track with a self-adaption control theory method by setting an optimization indicator function and infusing wind field variables, and a planning result is transmitted to all the ships to be executed.

The invention relates to the field of liquid level control systems and particularly relates to a model-free adaptive-control water tank liquid level control system, which comprises a three-tank water main body, an electric control box and a control platform, wherein the three-tank water main body is internally provided with a liquid level transmitter, a three-phase brushless DC water pump, a liquid level sensor detection original and a data acquisition card. The model-free adaptive-control water tank liquid level control system has the beneficial effects that the first application of a model-free adaptive-control theory in the three-tank water liquid level control field plays an extremely important role in practice and promotion of the model-free control theory, a universal model for a model-free control algorithm is used for deducing a control law, a practical PLC algorithm program is converted, and thus, accurate control on the three-tank water liquid level is realized, the complicated control is realized by using the PLC program, and the universality is strong.

The invention relates to a subway traffic flow optimization control method. The method comprises the following steps that a topology structural chart of a track traffic network is generated according to planned running parameters of trains; controllability and sensitivity of train flow are analyzed based on the topology structural chart; the multi-train non-collision running track is generated according to the planned running parameters of the trains; the running positions of the trains at some time are predicted at each sampling time based on the current running state of the trains and the historical position observation sequence, an observer from the continuous dynamic state of the trains to the discrete collision logic is established, and the continuous dynamic state is mapped into the collision state expressed through the discrete observation value; when it is possible for a system to violate the traffic control rule, the hybrid dynamic state of the subway traffic hybrid system is monitored, and alarm information is provided for a control center; and finally when the alarm information occurs, the robustness double-layer planning is carried out on the train running track through a self-adaptation control theory method, and a planning result is transmitted to the trains.

The invention discloses a self-adaption welding method and system based on cloud platform big data. According to the self-adaption welding method, a big data storage and intelligent rule base is established through a cloud platform server; a dynamic resistance control main theory is adopted to perform welding self-adaption control; and in cooperation with optimized welding process evaluation and energy control ideas, all-around guidance, process monitoring and quality control are carried out on the welding quality of DSP control. A forward-oriented self-adaption control theory is achieved, post-processing process evaluation and quality compensation optimization are achieved, system configuration of an automated trusteeship technology manner is used in cooperation, the perfect and comprehensive production process method and system are achieved, the very high process quality and automated production level are provided for the mechanical welding industry through establishment and perfectmoving direction maturity, the social labor efficiency can be directly improved, and ultimately the high economic and social benefits are achieved.

The invention relates to a subway traffic flow optimization control method. The method comprises the following steps that a topology structural chart of a track traffic network is generated according to planned running parameters of trains; controllability and sensitivity of a train flow are analyzed based on the topology structural chart; a multi-train non-collision running track is generated according to the planned running parameters of the trains; the running positions of the trains at some time are predicted at each sampling time based on the current running state and the historical position observation sequence of the trains, an observer from the continuous dynamic state of the trains to the discrete collision logic is established, and the continuous dynamic state is mapped into the collision state expressed through the discrete observation value; when it is possible for a system to violate the traffic control rule, the hybrid dynamic behavior of the subway traffic hybrid system is monitored, and alarm information is provided for a control center; and finally when the alarm information occurs, the robustness double-layer planning is carried out on the train running track through a self-adaptation control theory method, and a planning result is transmitted to the trains.

The invention discloses an adaptive synchronous control method for a permanent magnetism synchronous motor (PMSM) system and a Rossler system. Firstly, a chaotic motion state equation of a uniform airgap PMSM is established, and a chaotic numerical method is used to analyze the chaotic phenomenon in the PMSM motion; and then, a PMSM system synchronous framework is established, a simple and continuous synchronous controller is designed, adaptive different structure synchronous control on a PMSM master-slave system and a Rossler target system is realized, and generalized synchronization of thePMSM master-slave system and the Rossler target system is proved. The chaotic motion state of the permanent magnetism synchronous motor is firstly obtained, the control law of the chaotic motion system of the permanent magnetism synchronous motor is then deduced based on an adaptive control theory, and finally, different structure synchronous motion control is carried out on chaos of the PMSM system. The control strategy overcomes the shortcomings of poor dynamic performance and low stability in the different structure control between the PMSM system and the Rossler system.

The invention relates to a planning method for resolving conflict of subway trains. The planning method includes the following steps of acquiring the train movement path, predicted at every sampling time, of each subway train in the future period through a subway traffic control center; establishing an observer for observing from the continuous dynamics of the train to the discrete conflict logics and mapping the continuous dynamics to the conflict state expressed by discrete observation values; monitoring the hybrid dynamic behaviors of a subway traffic hybrid system when the system may violate the traffic control rules and giving alarm information to the control center; and performing robustness double-layer planning on the train movement paths by means of an adaptive control theory when the alarm information occurs and transmitting the planning results to the trains.