31 results about "Bond graph" patented technology

The invention discloses a numerical control machining parameter adaptive fuzzy control rule optimization method. The method includes the following steps: step1, parameter operation of a numerical control machine tool drive system is created, an input variable and an output variable of an adaptive fuzzy control model are confirmed, and a value taking interval is confirmed according to practical machining conditions; step 2, a drive system module of a numerical control machine tool is analyzed and confirmed, a bond graph method is utilized to obtain a simulative effect picture of corresponding change relations of an input language variable and an output language variable; step3, combining the step 1 with the step 2 and according to the simulative effect picture, the change relations among the variables are analyzed, and dynamic optimization is carried out on a fuzzy control rule list. According to the numerical control machining parameter adaptive fuzzy control rule optimization method, a power bond graph method is utilized to optimize fuzzy control rules. The numerical control machining parameter adaptive fuzzy control rule optimization method is used on on-line adaptive control of numerical control machining parameters, the control performance and the machining stability of a fuzzy controller are improved.

The invention relates to a fault diagnosis method of a nonlinear electromechanical system, in particular to the fault diagnosis method of the nonlinear electromechanical system. The fault diagnosis method comprises the following steps: firstly, modeling the nonlinear electromechanical system to obtain a bonding graph model of the nonlinear electromechanical system, and then to obtain an analysis redundancy relation and a fault feature matrix successively, analyzing the detectability and the separability of the fault of the nonlinear electromechanical system to obtain a set of possible faults of the nonlinear electromechanical system, and finally, performing the joint parameter estimation on the set of possible faults of the nonlinear electromechanical system and the state variables of thenonlinear electromechanical system through a particle filtering method, then comparing the sample mean value of the particle distribution with the nominal value of the model as the parameter estimatedvalue, and determining the fault of the nonlinear electromechanical system. According to the invention, the fault parameters can be accurately detected in a small range interval through fault identification, and the fault source can be diagnosed and isolated in time and accurately.

The invention discloses an IGBT fault diagnosis method for a traction drive system of a CRH5 type high-speed train, and the method comprises the steps: modeling a traction part bonding graph: respectively building a traction inverter model, a traction motor model, and a gearbox bonding graph model; carrying out system modeling: building a traction drive system model of a high-speed train, and simulating the operation states when the system is normal and an IGBT fault happens; building a global analysis redundancy relation: building a simplified system global analysis redundancy relation, obtaining a fault characteristic matrix, and analyzing a system fault propagation approach; carrying out fault diagnosis: enabling system output to be substituted into the global analysis redundancy relation, forming a residual error set and a consistency vector, comparing the residual error set and the consistency vector with the fault characteristic matrix, and detecting the health state of the system, and positioning an IGBT fault source. The method diagnoses the IGBT fault of the traction drive system of the high-speed train through employing a bonding graph method, builds the motor model through multiple bonding graphs, carries out the unified modeling of an electromechanical system, achieves the positioning of an IGBT element with a fault, and provides a solution for the modeling of the traction drive system of the CRH5 high-speed train and the diagnosis of the IGBT fault.

The invention discloses a quick simulation analysis method for a radar antenna servo system. The quick simulation analysis method includes the steps that (1) parametric modeling of a bond graph is carried out, components in the system are simplified according to the modeling sequence of a drive motor, a transmission mechanism and a reflecting surface body and accordingly a bond graph model of the antenna servo system is built; (2) virtual prototype multi-rigid-body modeling is carried out, part rigid-body models in all links are sequentially built on the basis of the modeling theory that each solid body in the system corresponds to one rigid body in a multi-rigid-body model, the corresponding rigid bodies are combined according to a parametric model of the bond graph and accordingly a system design model is obtained; (3) a parameter synchronization mechanism is introduced, and design model parameters are transferred to the bond graph model synchronously by means of a design model information file; (4) a system mathematic model is deducted according to the system bond graph model. Mathematical modeling simulation, multi-rigid-body modeling simulation and bond graph modeling simulation methods are well combined, advantages are made use of and defects are avoided.

The invention discloses a method for optimizing the bonding graph model of a reducer based on a six-degree-of-freedom gear meshing model, which is carried out according to the following steps: S1: establish a six-degree-of-freedom first-stage gear pair meshing dynamics model; S2: establish a six-degree-of-freedom meshing dynamics model The bond graph model of the first-stage gear pair; S3: Deduce the state equation of the bond graph model of the first-stage gear pair; S4: Establish the bond graph model of the reducer; S5: Deduce the bond graph model of the reducer State equation; S6: Perform simulation analysis on the state equation of the reducer bond graph model, and correct the reducer bond graph model. Using the above technical solutions, the bond graph model of the gear pair and the bond graph model of the reducer can accurately analyze the characteristics of the reducer and other gear transmission mechanisms, and provide a theoretical basis for the optimal design of the reducer and other gear transmission systems .

The invention discloses a power calculation method of a ball screw type energy-feeding shock absorber, which includes the following steps: converting the three-dimensional model into Adams to perform multi-rigid body modeling of a virtual prototype, and obtaining model parameters; establishing a power bonding graph model ; According to the power bond graph model, deduce the state equation of the power bond graph model; according to the state equation, establish the mathematical model of the shock absorber; according to the corresponding relationship between the bond graph element and the block diagram unit, convert the bond graph model Form a block diagram; according to the block diagram, set up a dynamic simulation model in Matlab-Simulink; input the model parameters obtained in the above steps, simulate and analyze the dynamic simulation model, and obtain the output power curve; use the present invention to realize the simulation under each working condition Simulation, simulation is fast.

The invention discloses a multi-field coupling optimization method for an electric drive system based on bond graph modeling, comprising the following steps: S1: establishing a bond graph model of a permanent magnet motor; S2: establishing a bond graph model of a reducer; S3: establishing The bond graph model of the electric drive system, and deduce the state equation of the bond graph model of the electric drive system; S4: Input the simulation parameters, and correct the bond graph model of the electric drive system. Using the above technical solutions, the energy transfer process of the electric drive system is clearly described, which can dynamically reflect the dynamic characteristics of the electric drive system in real time, and provides a theoretical basis for the optimal design of the electric drive system.

The invention relates to an electric scooter fault diagnosis method, in particular to an electric scooter fault diagnosis and estimation method based on a bond graph model. Firstly, the model is established for an electric scooter, so that the bond graph model of the electric scooter is obtained, a redundant relationship is analyzed according to the bond graph model of the electric scooter, a residual error is generated according to the analyzed redundant relationship, a fault characteristic matrix is obtained, the parameter values of the bond graph model of the electric scooter are changed, whether the residual error exceeds a set threshold value or not is judged, if the residual error exceeds the set threshold value, an electric scooter system generates a fault, coherent vectors and thefault characteristic matrix are compared, a possible fault set is obtained, elements in the fault set and system original state variables are jointly estimated through an unscented Kalman filter method, and the actual fault of the electric scooter system is obtained. Fault parameters can be accurate to specific numerical values through fault identification, and a fault source can be diagnosed andisolated accurately in time.

The invention discloses a modeling method of a bond-graph-based movable mechanical arm system. The method comprises the steps of 1, constructing a driving motor and transmission mechanism bond graph model; 2,constructing a double-wheel differential type mobile robot mechanical system bond graph model; 3, constructing a series connection type mechanical arm mechanical system bond graph model; 4, according to the robot freedom degree, connecting the bond graph models established in step 1, step 2 and step 3, and establishing a complete robot system bond graph model by considering the force-bearing relationship between the system and the ground; 5, deriving a mathematic model according to the bond graph model; and 6, conducting system simulation and analysis according to the model. By means of the modeling method, errors caused by the operation that modeling and control are conducted on a mobile robot and a mechanical arm separately, but the coupling relationship between the mobile robotand the mechanical arm is neglected are avoided; the bond graph method is adopted, modeling and simulation problems of a robot system combining multiple energy forms are solved in a unified manner; and rapidness and precision of dynamics modeling, simulation and analysis of the robot system are improved.