Development process with rapid control prototyping.
dSPACE rapid control prototyping (RCP) systems let you develop, optimize, and test new control strategies in a real environment quickly without manual programming. RCP helps you detect design faults and correct them immediately. With dSPACE’s implementation software, Real-Time Interface (RTI), models designed with MATLAB®/Simulink can be implemented on the dSPACE hardware automatically. A graphical block library with numerous interface functionalities lets you connect inputs and outputs to the model. With ControlDesk Next Generation, you can monitor and tune variables during run time by using graphical instruments. As the RCP hardware is far more powerful than actual production electronic control units (ECUs) with regard to processing power and memory space, almost no hardware limitations have to be considered. dSPACE RCP systems can be used as a substitute (fullpassing) or an extension (bypassing) of the ECU. For building your own tailored RCP system, dSPACE offers a wide range of off-the-shelf software and hardware components, for in-vehicle, laboratory or test bench usage. The components are well suited for automotive, aerospace, medical, robotics and many other application fields.
Different ways of function prototyping interact smoothly.
There are two basic methods for performing rapid control prototyping in a real environment: fullpassing for developing of whole new control units from scratch, and bypassing for the incremental development and the optimization of an existing ECU. During fullpassing, the RCP system completely replaces the ECU. All sensors and actuators are connected to the prototyping hardware, which has full authority to control the plant. During bypassing, the new control algorithm under development is implemented and tested within the context of the existing ECU software environment. In this case, only individual functions within an existing controller are replaced with bypass functions. Bypassing comes in different varieties: For external bypassing, an RCP system runs in parallel with an existing production ECU and executes the new function synchronously to the existing functions running on the ECU. The synchronized coupling between the two systems is implemented via dedicated bypass or ECU interfaces. On-target prototyping, based on the internal bypass approach, does not use a separate RCP system at all. With on-target prototyping, the new function is executed directly on an existing production ECU together with the original ECU software environment. Therefore, it uses the free processing and memory resources of the ECU. Virtual prototyping can be used to frontload function development into your laboratory with the help of virtual ECUs running on standard PCs. As a system provider, dSPACE offers a wide range of products to cover all the different RCP approaches and makes them work together smoothly.
Modular, scalable, high-performance real-time systems for rapid control prototyping, test, and data acquisition applications. dSPACE’s modular laboratory systems provide high processing power, a wide range of I/O functionality and bus interfaces for various applications.
Compact Laboratory SystemsAll-in-one, powerful real-time systems at a compact size for rapid control prototyping, testing, and data acquisition – with comprehensive I/O for many common applications. Ideal for laboratories!
Compact In-Vehicle SystemsExtremely compact and robust real-time systems for rapid control prototyping, tests, and data acquisition in tough environments such as in vehicles or airplanes.
Modular In-Vehicle SystemsRobust, scalable, high-performance real-time systems for in-vehicle rapid control prototyping, function validation, and data acquisition.
Today, electric and hybrid electric vehicles play a major role in strategies for reducing fuel consumption and emissions.
In-Vehicle Function Development and Testing of Map-Based Driver Assistance ApplicationsModern, map-based driver assistance systems are one way to solve the challenges posed by the road traffic of tomorrow.
Developing Engine ControlsSaving fuel and reducing emissions (NOx, CO2) requires continuous research on new operating processes for internal combustion engines.
Chassis Control DevelopmentWhen developing and testing new chassis control strategies, e.g., for higher driving safety, comfort and agility, high-processing power is needed to calculate the controller models.
Optimizing Vehicle Dynamics for MotorcyclesModern motorcycles require sophisticated control strategies for vehicle dynamics, such as anti-lock braking systems (ABS), automatic stability control (ASC), dynamic traction control (DTC), and dynamic damping control (DDC).
Prototyping for Active Noise and Vibration CancellationThe noise produced by helicopters, particularly as they come into land, is far from pleasant, and their vibrations also affect the pilot. Noise and vibration are caused by the air currents in the plane of the rotors.
Prototyping Medical MicrosystemsIn the area of cardiac rhythm management, devices such as artificial pacemakers can profit from optimized control strategies, reduced power consumption, and improved reliability.