144 results about "Optimal control system" patented technology

The invention relates to an SCR (Selective Catalytic Reduction) denitration system ammonia spraying quantity optimal control system and method based on intelligent feedforward signals. The SCR denitration system ammonia spraying quantity optimal control system based on intelligent feedforward signals is characterized in that as input parameters of a denitration system can be easily influenced by the combustion state of a boiler and for adapting to the requirement of large range of depth change of conditions for a thermal power generating unit, the SCR denitration system ammonia spraying quantity optimal control system based on intelligent feedforward signals takes the historical data of a power plant as the basis, utilizes the idea of data modeling, takes adjustable parameters at the boiler side as input and NOX concentration at the outlet of a hearth as output, utilizes a Least Squares Support Vector Machine algorithm to construct a prediction model which can be used for constructing an intelligent feedforward controller in a ammonia spraying quantity control strategy, and takes dynamic matrix control (DMC) as a main controller and PID as an auxiliary controller to construct a cascade feedback control structure; during the operating process, the intelligent feedforward controller outputs feedforward control signals in real time according to changes of the parameters at the boiler side, quickly gives a response to change of conditions of the unit, and forms an SCR system ammonia spraying quantity optimal control strategy together with feedback control, and can realize quick accurate control of the ammonia spraying quantity.

The invention provides a large coal-fired unit online monitoring and optimal control system and an implementation method thereof. The method includes the steps of analyzing combustion characteristics of a boiler of a large coal-fired unit, and performing boiler combustion optimization and adjustment test to acquire boiler operation key parameters; determining a relation of the boiler operation key parameters to boiler efficiency and NOx emission, and establishing an optimal control model according to the relation; training the optimal control model to obtain specific optimal values of boiler operation parameters under highest boiler efficiency. The large coal-fired unit online monitoring and optimal control system and the implementation method thereof have the advantages that boiler efficiency is improved on the premise of guaranteeing low NOx emission and operational economy of power plants is effectively improved.

The invention applies to the technical field of controlling central air conditioners, and provides an intelligent optimal control system for central air conditioners, as well as a method thereof. The system comprises a sensor, an intelligent controller and a system equipment control device, wherein the sensor is used for acquiring the operation parameter information of every system; the intelligent controller analyzes and predicts the dynamic load of the cooling requirements of users according to the operation parameter information acquired by the sensor; and the intelligent controller controls the system equipment control device according to obtained load prediction results. The invention performs dynamic analytical prediction for the cooling requirements of the users by acquiring the operation parameter information of every system, utilizes an intelligent database to analyze the prediction results, equipment operation parameters and the like, puts forward an optimal operation proposal, and performs control, so as to give full play to the energy saving potential of the central air conditioners and gain maximum economic benefit.

The invention provides a waste water treatment monitoring method based on a fuzzy neural network. According to the method, global search optimization is performed on the weight value and the threshold value of the neural network by applying a neural network structure algorithm and a real number encoding-based genetic algorithm on the basis of inspecting the influences of parameters such as the HRT (Hydraulic Retention Time) of an A/O (Anaerobic/Oxic) waste water treatment system, the DO (Dissolved Oxygen) in an aerobic pond and the reflux ratio r of mixed liquid on the COD (Chemical Oxygen Demand) and ammonia nitrogen of effluent water, so that an optimal BP-ANN (Back-Propagation Artificial Neural Network) soft measurement model and a GA-ANN (Genetic Algorithm-Artificial Neural Network) soft measurement model are built respectively. An intelligent dissolved oxygen optimization control system scheme based on the soft measurement models is built on the basis, data communication between the MATLAB (Matrix Laboratory) and MCGS (Microwave Command Guidance System) is realized in combination with an OPC (OLE for Process Control) technology, and an intelligent dissolved oxygen optimal control system is applied to dissolved oxygen optimal control in a paper-making waste water A/O technical treating process, so that energy saving and consumption reduction in paper-making waste water A/O treating engineering is realized. By adopting the waste water treatment monitoring method, the stability of the water quality of waste water discharged in the paper making industry can be increased greatly, accurate control is realized, and the chemical drug dosage and power consumption in a waste water treatment process are reduced.

In one aspect, a method of generating a model for HVAC system control is provided. The method includes generating a model of the performance of an HVAC system, providing the generated model to at least one of an optimal control system and a diagnostic system, and automatically tuning the HVAC system using the generated model and at least one of the optimal control system and the diagnostic system.

The invention discloses an active optimal control system of a wind and light storage combined power generation system and a method. The active optimal control system comprises a wind and light storage combined power generation system control central station and wind and light storage combined power generation system control substations. The method includes drawing out a power output curve of a wind power station, a photovoltaic power station and an energy storage power station according a planed power output curve and by considering correlated conditions of the wind power station, the photovoltaic power station and the energy storage power station, and distributing correlated plans to all control substations; and working out generation plans of corresponding control units according to power output plans distributed by all control substations, and executing power output plans distributed by control substations finally by the control units. By the aid of the control process, the wind and light storage combined power generation system can be guaranteed to operate according to the force output curve, charge-and-discharge times of storage batteries can be reduced, low current charge-and-discharge of the energy storage power station is avoided, the short-time overload capability of the energy storage power station is fully utilized, and the service life of the energy storage power station is prolonged.

The invention discloses an optimal control system for a steel rolling heating furnace, relating to the technical field of steel rolling of a heating furnace. Firstly, an on-line furnace temperature setting device is established according to different billet types, production rhythm, billet initial temperature and billet tapping temperature; the billet tapping temperature is controlled by controlling the temperature of the furnace; based on heat efficiency models under various working conditions, the loading variation of the heating furnace is calculated and taken as a feedforward value of the furnace temperature, and the high-accuracy control on the temperature of the heating furnace under loading fluctuation is realized; and on the basis, an optimal air-fuel ratio is found by establishment of an air-fuel ratio optimal control model, so that the heating furnace achieves an optimal burning condition and the aims of saving fuel and lowering steel loss are achieved.

The invention discloses an optimal control system and method for three-dimensional bio-printing aquogel supports. The system comprises a quantitative visualization device for the three-dimensional bio-printing aquogel supports based on optical coherence tomography scanning and three-dimensional bio-printing equipment; the visualization device comprises a light source, a low-coherence interference module, a sample scanning module, an interference signal detecting module and a computer. According to the method, the quantitative structure characteristics of the three-dimensional bio-printing aquogel supports are obtained through the OCT technology, the designing and the printing of the supports are fed back on the basis of the results of the quantitative structure characteristics, and the stability and the controllability of three-dimensional manufacturing of the supports are improved by lowering the difference between the designing and the printing through iteration. According to the invention, the requirements of optimal control of three-dimensional bio-printing aquogel for high resolution and wide-range and three-dimensional fast scanning can be met, non-destructive and non-intrusive fast imaging of the whole supports can be realized through the OCT technology, and the information of the whole supports and local shape features of space is quantitatively analyzed based on the algorithm automatically selecting object regions.

The invention relates to an adaptive industrial process optimal control system, which comprises an intelligent detecting instrument, a DCS system and a host computer, wherein the intelligent detecting instrument is connected with an industrial process object; the industrial process object, the intelligent detecting instrument, the DCS system and the host computer are connected with one another in turn; and the host computer comprises an information acquisition module, an initialization module, a constraint conversion module, an adaptive solution module, an iterative optimization module, a convergence judgment module and a result output module. The invention also provides an adaptive industrial process optimal control method. The system and the method can accurately and stably find the optimal solution for a non-linear industrial process optimal control problem, have high optimization solution efficiency, and are the optimal control system and method having extensive applicability.

The invention discloses a large-scale wind turbine optimal control system provided with a multi-level hierarchical structure, which comprises a data analysis and strategy selection unit on a wind power field grade, wherein, the unit is in charge of processing the function of large information amount demand and complex calculation task, and meanwhile, coordinates the coordination between each wind turbine, leading the whole efficacy of the wind power field to be the best; a coordinating control and fault diagnosis unit on a turbine grade, which is in charge of handling various transaction in the turbine, and meanwhile, coordinates the coordination between each loop in the turbine, leading the whole efficacy of the turbine to be the best and to reasonably and efficiently complete a task assigned to the wind turbine by the data analysis and strategy selection unit on the wind power field grade; and an execution mechanism control unit on a loop grade, which makes specific action request for each loop and guarantees the accurate and exact operation of various execution mechanisms, such as a motor, a pump, a valve, a switch, and the like. The system solves the problem of inadequacy hardware resource utilization, lower information resource utilization ratio, and low coordination degree between each function in a large-scale wind turbine control system.

The invention discloses a rotary kiln combustion control device and method, and belongs to the technical field of rotary kiln combustion equipment and methods. The device and method are used for rotary kiln combustion control in the vanadium production process. According to the technical scheme, a coal gas component analysis meter and a flue gas oxygen content measuring meter are used for establishing an air-fuel ratio automatic calculation model so that the air-fuel ratio can be automatically calculated in real time, the experience air-fuel ratio value is introduced to an automatic control system at the same time, when the analysis meter breaks down, the system can achieve automatic control continuously, and a true intelligent optimal control system of a rotary kiln is obtained. Coal gas single-circuit control is adopted in the automatic combustion control mode of the rotary kiln, and the defects that the complex control modes of cross limit or feedback and the like are adopted in existing combustion control, parameters cannot be set or used appropriately and the system stabilization time is long are overcome. The rotary kiln combustion control device and method are simple, practical and easy to implement, the temperature deviation of the rotary kiln can be controlled within the range of +/- 5 DEG C, converter gas consumption is lowered by 3%, the conversion rate of vanadium is improved by more than 3%, and considerable economic benefits are brought about.

The invention discloses an optimal control method for flue gas circulating fluidized bed desulphurization in the technical field of thermal power plant desulphurization. A DCS system is connected with a flue gas circulating fluidized bed and a PLC-based sulfur dioxide optimal control system. The sulfur dioxide optimal control system is formed as follows: a sulfur dioxide prediction module and a carbon dioxide calculation module are respectively connected with a data communication module and a hydrated lime control module, and the hydrated lime control module is connected with the data communication module. The data communication module and the DCS system exchange data. According to the invention, the content of CO2 in the flue gas at the inlet of a desulfurization tower is calculated through an SO2 prediction model. The feeding amount of hydrated lime can be adjusted timely, dynamically and accurately. Excessive emission of SO2 and the waste of hydrated lime and resources are avoided fundamentally, and CO2 emission is reduced to a certain extent. The method is of high reference value in engineering.

The invention discloses an optimal control system for realizing instant excavation turning angle and excavation force of a bucket. The system comprises a connecting rod cylinder, a laser positioner, a boom cylinder travel displacement sensor, a bucket arm cylinder travel displacement sensor, a bucket cylinder travel displacement sensor, a connecting rod cylinder travel displacement sensor, a boom cylinder pressure sensor, a bucket arm cylinder pressure sensor, a bucket cylinder pressure sensor, a connecting rod cylinder pressure sensor, a programmable controller and an electro-hydraulic proportional valve controlling the connecting rod cylinder. The invention has the benefits that by adopting the connecting rod structure and the optimal control system, the excavation range can be expanded without influencing the excavation force, and the generality of connecting rod mechanisms of similar-tonnage excavators can be improved; and meanwhile, the length extension of the connecting rod is controlled by a optimal control program to realize optimal matching of the excavation angle and excavation force of the bucket, thus the bucket performs excavation work with the optimal angle and force, the loss of the bucket is reduced, and the excavation efficiency is improved.

The invention discloses an automatic driving high-speed manipulation and control system based on optimal control and safety distance and a control method of the system. The system comprises a data acquisition system, a safety early warning system, an optimal control system and an executing mechanism. The control method specifically includes the steps of obtaining surrounding environment information and the driving state of a car through the car-mounted data acquisition system; through the collected information, determining the initial state and terminal state of the car during running; under combination with the surrounding environment information and the safety early warning model, determining whether or not the car needs transverse manipulation; when the transverse manipulation is needed, inputting the initial state and terminal state of the car to an optimal control system, using an optimal control model for solving optimal manipulation input of the car, after that, inputting an optimal manipulation signal into the executing mechanism through D/A conversion, and controlling the car to complete longitudinal and transverse movement through the executing mechanism. According to thecontrol system and the control method, the safety and rapidity of the longitudinal and transverse movement of the automatic driving car are improved.

The invention discloses a multi-side voltage reactive power coordination optimal control system for a transformer substation. The multi-side voltage reactive power coordination optimal control system for the transformer substation comprises a magnetically controlled reactor (MCR) at a medium voltage side, an MCR-type static var compensator (MSVC) at a low-voltage side, a medium-voltage bus, a low-voltage bus and a voltage and current mutual inductor, wherein the medium-voltage bus, the low-voltage bus and the low-voltage side are configured with capacitor groups respectively provided with a virtual air gap controllable reactor to provide inductive reactive power compensation; the capacitor group is configured on the low-voltage side to realize the continuous regulation from inductive reactive power to capacitive reactive power; the transformer substation is subjected to multi-side voltage reactive power coordination optimal integrated control; the coordination optimal control is carried out by the MCR at the medium voltage side and the MSVC at the low-voltage side. According to the virtual air gap controllable reactor of the multi-side voltage reactive power coordination optimal control system for the transformer substation, which is disclosed by the invention, the adjustable volume of the controllable reactor can be realized.

The invention discloses an industrial process optimal control system for an adoptive synchronization policy, which comprises an onsite intelligent instrument, a DCS system and a host computer, wherein the onsite intelligent instrument is connected with an industrial process object; the industrial process object, the onsite intelligent instrument, the DCS system and the host computer are connected with one another in turn; and the host computer comprises a signal acquisition module, an initialization module, a variable discrete module, a constraint processing module, a model transformation module, a solution module and a result output module. The invention also provides industrial process optimal control method for the adoptive synchronization policy, which comprises the steps of performing segmental discrete configuration on control variables and performing adaptive adjustment on the time domain segment length. The system and the method have stable and quick solution in the process of solving a complex non-linear industrial process optimal control problem, have high calculation accuracy, and are the optimal control system and method with extensive applicability.

The invention relates to a nonprobability reliability optimization based design method of a vibration optimal control system. According to the method, a finite element equation of structural vibration is converted into a state space form via variable substitution, and a state space control equation of structural vibration is established; a nonprobability reliability analysis theory of an active control system of structural vibration is provided; and based on the provided nonprobability reliability analysis theory, reliability optimization is carried out on a controller obtained via an optimal control theory, and a closed-loop controller satisfying the reliability index is obtained. The uncertainly of a closed-loop control system is overcome in the aspect of reliability, and the problems that optimal control cannot satisfy the reliability requirement and robust control is too conservative can be effectively solved.

The invention provides a three-joint-regulation reactive power compensation system. The three-joint-regulation reactive power compensation system comprises a low-voltage transformer-area reactive power compensation device, a transmission line reactive power compensation device and a transformer substation reactive power compensation device, wherein the low-voltage transformer-area reactive power compensation device, the transmission line reactive power compensation device and the transformer substation reactive power compensation device are respectively connected with a wireless receiving terminal; the wireless receiving terminal is connected with a base station through an antenna; the base station and a gateway are connected for data synchronization; and the gateway is connected with a reactive joint-regulation main station. The three-joint-regulation reactive power compensation system has the advantages that a smart distribution network reactive voltage automatic control system communicates with a distribution network reactive power compensation comprehensive measurement and control device through a wireless encryption private network, remote sensing and remote signaling data of each node are acquired, reactive voltage optimal calculation is performed, a smart reactive voltage optimal control system based on a wireless private network can monitor reactive terminals which are distributed in various regions and can perform dynamic and local compensation, voltage qualification and power factor qualification are ensured, and grid loss is reduced.

A intelligent power saving optimum control system comprises power supply main circuit, road lamp, status detector, signal processors, control driver, and GPRS remote monitoring system. The state detector detects signal parameter of gas discharging road lamp, then preprocess detected signal for signal processors processing; signal processor makes a decision and transmits control command to control drive; control drive converts control command to trigger pulse signal and outputs to control input interface of power supply main circuit for regulating voltage output; signal processor exchange information with GPRS remote monitoring system to accomplish independent control and remote control function. The intelligent power saving optimum control system can provide best voltage power supply and best power output for gas discharging lamp then ensure highest energy conversion efficiency for air discharge lamp under optimum illuminating effect and service life time, and truly achieve goal for saving power.

The invention relates to an intelligent optimal control system for CO2 emission of a blast furnace and belongs to the technical field of energy-saving and emission-reducing control of the blast furnace. The intelligent optimal control system comprises an optimizing computer for the CO2 emission of the blast furnace, a material-loading control system, a blast furnace main body control system, a hot blast furnace control system, a blast furnace blasting control system, a coal-spraying control system, a foundation automatic control system, a blast furnace production process and production data collecting system, a CO2 emission report system and a database, wherein the optimizing computer for the CO2 emission of the blast furnace is connected with the database, thereby forming an optimizing platform for the CO2 emission of the blast furnace; the material-loading control system, the blast furnace main body control system, the hot blast furnace control system, the blast furnace blasting control system and the coal-spraying control system are connected with the foundation automatic control system, thereby forming an optimizing control system for the CO2 emission of the blast furnace; the optimizing computer for the CO2 emission of the blast furnace is also connected with the CO2 emission report system, thereby forming an assessing platform for the CO2 emission of the blast furnace; and a CO2 emission-reducing optimizing computer is used for obtaining a real-time data for blast furnace production in the database, calculating and solving a CO2 emission-reducing optimizing model, thereby achieving the CO2 emission-reducing optimization.

The invention discloses a method for optimally controlling magnetorheological damping of a random seismic excitation system. In the method, the active optimal control design is carried out by adopting a physical random optimal control strategy with the two-step optimizing character according to a control system with a random seismic excitation structure; the active optimal control grain design iscarried out by adopting a second order statistic evaluation criterion of the system to obtain an optimal control law parameter and thus the target active optimal control force for the design of a magnetorheological damping optimal control system is determined; and by adopting the target active optimal control force realized by tracking as a control criterion, the magnetorheological damping optimal control design is carried out by adopting a delimitation Hrovat semi-active random control strategy. In the invention, on the basis of a probability density evolution theory frame, the hedge of describing the classical random optimal control of a power system by using an Ito random differential equation is broken through; and the method opens up a new path for the active random optimal control.

The invention discloses an adaptive optimal control method and an adaptive optimal control system. The method can comprise the following steps: determining an uplink iterative performance index function by using a neural network; secondly, judging whether the uplink iterative performance index function is converged or not, and determining an uplink optimal performance index function according to a convergence result; thirdly, determining a downlink iterative optimal performance index function by using the neural network; fourthly, judging whether the downlink iterative optimal performance index function is converged or not, and determining a downlink optimal performance index function according to a convergence result; fifthly, judging whether the uplink optimal performance index function is equal to the downlink optimal performance index function or not; lastly, determining that the control system reaches an optimal state under the condition that the uplink optimal performance index function is equal to the downlink optimal performance index function. In the embodiment of the invention, the presence of a saddle point is judged according to whether an uplink function is equal to a downlink function, so that the technical problem in control of system stability is solved.