Controls Development

Optimize the control development process and enable parallel development

LMS helps customers to optimize the controls development process during all phases of the development chain. From requirements, system integration & testing to final calibration, LMS leverages its hands-on experience with Model-Based Systems Engineering (MBSE). As a consequence it enables parallel development, testing and calibration of control software and mechanical systems performance.

Leveraging plant modeling expertise in Imagine.Lab and other tools, LMS builds scalable real-time enabled accurate system simulation models, further frontloading the verification and validation testing phase as well as the calibration phase. LMS provides the capacity to support scenario testing of the developed control strategy to guarantee the quality of the embedded software. LMS technology integrates with standard commercial products for HiL-based testing. 

LMS successfully combines strong verification and validation processes with deep application knowledge. Thanks to this exceptional combination, LMS is a perfect partner for controls development.

Requirements & specifications
Starting from design intent and related system performance requirements for a variety of applications in conventional and HEV/EV architectures, LMS lets customers translate these requirements into control specifications and system architecture options. LMS uses MiL-based processes in early development phase, supported by accurate plant modeling in e.g. Imagine.Lab and control models in MATLAB/Simulink®. This allows validation of the control logics options together with the considered system design options. This rigorous process helps to develop control testing protocols for later development phases (from MiL, SiL to HiL) to ensure performance convergence over the different design stages.  

Implementation, system integration & test
The MiL-based development study results in an implementable control system structure that be directly used for automatic code generation for the target applications. In a next step, different control system models need to be integrated into single executable. LMS brings strong expertise for closed loop embedded software testing in SiL-based processes to support validation of the code generation and system integration

Calibration and vehicle integration
LMS supports the standard process of calibrating the control parameters of the implemented control code executable through SiL and HiL-based processes. To reduce time to market, companies are looking for pre-calibration early in the development phase. LMS brings expertise to frontload calibration by using accurate system performance plant models.

Legacy control code conversion to support model-based systems engineering
LMS has developed an optimized, customizable process with associated tools for migrating legacy ECU code to control models and conforming to the MBSE paradigm shift. The resulting MATLAB/Simulink® models are guaranteed equivalent to the original C-code and satisfy requirements for increased readability and auto-code generation. Leveraging these processes and tools, we offer a scalable service to perform the migration, resulting in production code for ECU control units.