CONTROL SYSTEMS
Control system design
Souxmar develops control system architectures and control algorithms for dynamic systems. Work covers plant modeling, control law design, tuning and closed-loop verification against defined operating conditions and performance requirements.
For equipment manufacturers and engineering teams developing flight control systems, marine control systems, rail vehicle and auxiliary-system controls, actuators, propulsion controls or other feedback-controlled subsystems.
Discuss your requirementsArchitecture and control law design
We define controlled variables, measurements, actuators, loop structure and operating modes. Depending on the plant and constraints, development can include PID control, cascade loops, feedforward compensation, state feedback, linear-quadratic regulator (LQR) design or model predictive control (MPC). Method selection follows the problem, computational budget and available system information.
Rail subsystem control development
Rail projects can address traction and braking coordination models, speed regulation, door actuation, cooling and auxiliary power management. We develop and compare control strategies against defined performance targets, disturbances, sensor behavior and actuator constraints. Interfaces to train control and management systems are defined with the vehicle or equipment team.
State estimation and closed-loop analysis
Observer design and sensor fusion can support applications where the required state cannot be measured directly. Analysis addresses stability, tracking, disturbance rejection, actuator limits and sensitivity to model uncertainty. Simulation cases cover specified commands, disturbances and operating-point changes, with quantitative acceptance criteria.
Implementation and verification
Control algorithms can be prepared in MATLAB/Simulink, Python or C++ for the agreed target workflow. Model-in-the-loop (MIL) testing evaluates controller and plant models together. Software-in-the-loop (SIL) testing executes compiled controller code against a simulated plant and compares the results with model behavior and requirements. Hardware-in-the-loop (HIL) testing connects a physical controller to a plant model running in real time, with defined I/O, sampling rates and latency limits. Target hardware and interface equipment are agreed as part of the scope.
Starting your project
Provide a plant description or model, sensor and actuator specifications, sample times and performance targets. Useful inputs include measured responses, physical constraints and existing control software. We define the verification plan and the boundary between algorithm development and deployment approval at the start.
Project questions
Can you improve an existing controller?
Yes. A bounded engagement can review loop behavior, tune parameters, introduce feedforward compensation or compare alternative controllers against an agreed baseline.
Does controller development include certification?
Certification, independent assurance and approval for operational use are separate project requirements. The engineering scope identifies the evidence and interfaces needed; no certification status is implied.
SOUXMAR · KÜTAHYA, TÜRKİYE
Define your engineering requirements.
Send your application, available data and intended outcome.