Abstract: An embedded system may distribute, e.g. at the point of coupling to a main power grid, information corresponding to one or more operational parameters (e.g. phase angle, frequency, amplitude, etc.) of a power delivery device to other power delivery devices, using a deterministic communication link. Updates of some or all of the information may be transmitted at future or past points in time, for example at defined time intervals. Time synchronization methods, e.g. a locked instantaneous interpolation mechanism may be used to create a coordinated time, shared among all power delivery devices. Various operating parameter mismatches, e.g. a phase mismatch between power delivery devices delivering power to the power grid, may thereby be reduced to less than a specified, negligible value. This creates tight time synchronization between the power delivery devices and allows them to interoperate in a manner that stabilizes rather than destabilizes the power grid.

Abstract: An embedded system may distribute, e.g. at the point of coupling to a main power grid, information corresponding to one or more operational parameters (e.g. phase angle, frequency, amplitude, etc.) of a power delivery device to other power delivery devices, using a deterministic communication link. Updates of some or all of the information may be transmitted at future or past points in time, for example at defined time intervals. Time synchronization methods, e.g. a locked instantaneous interpolation mechanism may be used to create a coordinated time, shared among all power delivery devices. Various operating parameter mismatches, e.g. a phase mismatch between power delivery devices delivering power to the power grid, may thereby be reduced to less than a specified, negligible value. This creates tight time synchronization between the power delivery devices and allows them to interoperate in a manner that stabilizes rather than destabilizes the power grid.

Abstract: System and method for configuring a system of heterogeneous hardware components, including at least one: programmable hardware element (PHE), digital signal processor (DSP) core, and programmable communication element (PCE). A program, e.g., a graphical program (GP), which includes floating point math functionality and which is targeted for distributed deployment on the system is created. Respective portions of the program for deployment to respective ones of the hardware components are automatically determined. Program code implementing communication functionality between the at least one PHE and the at least one DSP core and targeted for deployment to the at least one PCE is automatically generated. At least one hardware configuration program (HCP) is generated from the program and the code, including compiling the respective portions of the program and the program code for deployment to respective hardware components. The HCP is deployable to the system for concurrent execution of the program.

Abstract: Global optimization and verification of cyber-physical systems using graphical floating point math functionality on a heterogeneous hardware system (HHS). A program includes floating point implementations of a control program (CP), model of a physical system (MPS), objective function, requirements verification program (RVP), and/or global optimizer. A simulation simulates HHS implementation of the program using co-simulation with a trusted model, including simulating behavior and timing of distributed execution of the program on the HHS, and may verify the HHS implementation using the RVP. The HHS is configured to execute the CP and MPS concurrently in a distributed manner. After deploying the program to the HHS, the HHS is configured to globally optimize (improve) the CP and MPS executing concurrently on the HHS via the global optimizer. The optimized MPS may be usable to construct the physical system. The optimized CP may be executable on the HHS to control the physical system.

Abstract: Global optimization and verification of cyber-physical systems using graphical floating point math functionality on a heterogeneous hardware system (HHS). A program includes floating point implementations of a control program (CP), model of a physical system (MPS), objective function, requirements verification program (RVP), and/or global optimizer. A simulation simulates HHS implementation of the program using co-simulation with a trusted model, including simulating behavior and timing of distributed execution of the program on the HHS, and may verify the HHS implementation using the RVP. The HHS is configured to execute the CP and MPS concurrently in a distributed manner. After deploying the program to the HHS, the HHS is configured to globally optimize (improve) the CP and MPS executing concurrently on the HHS via the global optimizer. The optimized MPS may be usable to construct the physical system. The optimized CP may be executable on the HHS to control the physical system.

Abstract: System and method for configuring a system of heterogeneous hardware components, including at least one: programmable hardware element (PHE), digital signal processor (DSP) core, and programmable communication element (PCE). A program, e.g., a graphical program (GP), which includes floating point math functionality and which is targeted for distributed deployment on the system is created. Respective portions of the program for deployment to respective ones of the hardware components are automatically determined. Program code implementing communication functionality between the at least one PHE and the at least one DSP core and targeted for deployment to the at least one PCE is automatically generated. At least one hardware configuration program (HCP) is generated from the program and the code, including compiling the respective portions of the program and the program code for deployment to respective hardware components. The HCP is deployable to the system for concurrent execution of the program.

Abstract: System and method for configuring a system of heterogeneous hardware components, including at least one: programmable hardware element (PHE), digital signal processor (DSP) core, and programmable communication element (PCE). A program, e.g., a graphical program (GP), which includes floating point math functionality and which is targeted for distributed deployment on the system is created. Respective portions of the program for deployment to respective ones of the hardware components are automatically determined. Program code implementing communication functionality between the at least one PHE and the at least one DSP core and targeted for deployment to the at least one PCE is automatically generated. At least one hardware configuration program (HCP) is generated from the program and the code, including compiling the respective portions of the program and the program code for deployment to respective hardware components. The HCP is deployable to the system for concurrent execution of the program.

Abstract: System and method for configuring a system of heterogeneous hardware components, including at least one: programmable hardware element (PHE), digital signal processor (DSP) core, and programmable communication element (PCE). A program, e.g., a graphical program (GP), which includes floating point math functionality and which is targeted for distributed deployment on the system is created. Respective portions of the program for deployment to respective ones of the hardware components are automatically determined. Program code implementing communication functionality between the at least one PHE and the at least one DSP core and targeted for deployment to the at least one PCE is automatically generated. At least one hardware configuration program (HCP) is generated from the program and the code, including compiling the respective portions of the program and the program code for deployment to respective hardware components. The HCP is deployable to the system for concurrent execution of the program.

Abstract: System and method for configuring a system of heterogeneous hardware components, including at least one: programmable hardware element (PHE), digital signal processor (DSP) core, and programmable communication element (PCE). A program, e.g., a graphical program (GP), which includes floating point math functionality and which is targeted for distributed deployment on the system is created. Respective portions of the program for deployment to respective ones of the hardware components are automatically determined. Program code implementing communication functionality between the at least one PHE and the at least one DSP core and targeted for deployment to the at least one PCE is automatically generated. At least one hardware configuration program (HCP) is generated from the program and the code, including compiling the respective portions of the program and the program code for deployment to respective hardware components. The HCP is deployable to the system for concurrent execution of the program.

Abstract: Simulating a mechanical system controlled by a motion controller. First position data may be received. The first position data may be provided by a motion controller at a first rate. The first position data received at the first rate may be interpolated to provide second position data at a second rate. Operation of the mechanical system may be simulated or modeled using the second position data at the second rate. Interpolating the first position data and modeling the operation of the mechanical system may be performed without simulating drives and motors necessary to drive the mechanical system.

Abstract: Simulating a mechanical system controlled by a motion controller. First position data may be received. The first position data may be provided by a motion controller at a first rate. The first position data received at the first rate may be interpolated to provide second position data at a second rate. Operation of the mechanical system may be simulated or modeled using the second position data at the second rate. Interpolating the first position data and modeling the operation of the mechanical system may be performed without simulating drives and motors necessary to drive the mechanical system.