Control Engineering Services for Advanced Modeling, Simulation and Control Systems
We design, model, simulate, and validate control systems for dynamic, electromechanical, industrial, and energy applications.
Problems We Help Solve
Control systems can become harder to design, tune, and validate when a system has multiple interacting components, changing operating conditions, and hardware constraints. Problems that are difficult to identify early in a project can later result in unstable behavior, poor performance, or costly changes to the design.
Challenges
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Challenges moving from simulation to hardware
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Inaccurate system modeling
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Difficult control parameter tuning
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Difficulty predicting system behavior
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Problems interpreting Bode and Nyquist plots
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Limited in-house control engineering resources
A controller that works in simulation can behave differently on the real system — and the cause is rarely the control algorithm. Sampling, delays, sensor noise and resolution, actuator limits, and unmodeled dynamics all become part of the loop. We refine the model with the effects that matter and test the algorithm under real-time conditions, including Hardware-in-the-Loop, before physical integration.
Model refinement ⋅ Hardware-in-the-Loop ⋅ Real-time testing
A simplified or incorrect model can produce simulation results that look convincing but don’t match the real system — and design decisions made on that basis fail once hardware is built. We model the physical parts that actually shape the response: mechanics, electric circuits, motors, power stages, sensors, and their interaction.
System modeling ⋅ Model validation ⋅ Multi-domain simulation
Changing one parameter affects several aspects of the response at once, so tuning becomes a long series of adjustments on real hardware. Simulation moves that work into the model, where parameters can be changed and compared before anything is touched in the physical system.
Parameter studies ⋅ Controller tuning ⋅ Response comparison
How a system reacts to a change in load, input, or operating conditions is hard to know in advance, and testing every scenario on hardware is slow or unsafe. A model lets those cases be checked before physical testing, while changes are still cheap.
Scenario simulation ⋅ Operating conditions ⋅ Sensitivity analysis
A resonance peak or a Nyquist curve near a critical point shows that a problem exists — not why, or what to change. We combine frequency-response analysis with a system model, so each feature on the plot can be traced back to a specific dynamic and turned into a design decision.
Bode analysis ⋅ Nyquist analysis ⋅ Stability assessment
A team may have the knowledge to run the system but not the time or specialists for modeling, simulation, analysis, and testing on top of the project. We take on that work and deliver results the team can use directly.
Model building ⋅ Stability analysis ⋅ Real-time testing
Model building and validation · Tuning and stability analysis · Frequency-response work · Scenario simulation · Real-time testing
Control Engineering Services
The work starts from the engineering problem, not from a tool or a template: what the system needs to do, what limits its behavior, what can be measured, and which parts of the system actually affect the result.
01
Modeling & Simulation
MATLAB/Simulink models for mechanical, electrical, thermal, and coupled electromechanical systems — including mass-spring-damper, two-degree-of-freedom, vibration, and magnetic bearing models.
You get: validated model, parameter study, simulation results.
02
Classical Control & PID
PID, PI, feedback, and cascade structures, chosen for the system.
You get: tuned controller verified against response, tracking, settling, and disturbance rejection.
03
Stability & Dynamic Analysis
Transfer functions, state-space, Bode/Nyquist, and time-domain simulation.
You get: stability margins, frequency response, and a clear explanation of what causes the behavior.
04
Advanced & Intelligent Control
Adaptive, predictive, robust, fuzzy, neural, and RL approaches.
You get: a controller designed for changing dynamics, with simulation results showing the improvement over a fixed controller.
05
Motor & Motion Control
DC, PMSM, induction, and BLDC drives — developed together with the drive, feedback, load, and power stage.
You get: a drive and control designed as one connected system.
06
Power Electronics Control
Converters, inverters, grid-connected systems, EV charging, storage, wireless power. MATLAB/Simulink and PLECS.
You get: control that accounts for switching behavior and power-stage interaction.
07
Real-Time Control & HiL
PLECS RT Box and Hardware-in-the-Loop testing.
You get: control algorithm tested against a simulated plant before physical integration.
Accelerate your roadmap and avoid costly rework with proven engineering practices.
Detailed scope
Modeling & Simulation
- Two-degree-of-freedom systems
- Mass-spring-damper system (MSD)
- Transfer function of the MSD
- Bode and Nyquist plots
- Stability analysis using the Nyquist criterion
- Magnetic bearing of the mass
- Block diagram: magnetic levitation with controller, amplifier, sensor, sphere, and electromagnets
- Transfer characteristics of the magnetic bearing and the mass-spring-damper system
- Forced vibration and motion for forced vibration
- Free vibration analysis of undamped systems


Stability & Dynamic Analysis
- Transfer functions and state-space models
- Bode and Nyquist analysis
- Stability margins and the Nyquist criterion
- Parameter sensitivity and time-domain simulation
Applications
We apply control engineering across automotive systems, electric drives, renewable energy, power electronics, industrial automation, and robotics. Our work covers both individual control components and complete systems where mechanical, electrical, and software behavior has to be considered together.
Automotive
Vehicle dynamics, powertrain control, electric vehicle systems, torque and motion control.
Electric Drives
DC, PMSM, BLDC, and induction motor control, including speed, torque, position, vector, and sensorless control.
Renewable Energy
Wind and solar power systems, grid-connected control, energy conversion, and power management.
Power Electronics
Converters, inverters, PFC, EV chargers, energy storage, wireless power transfer.
Industrial Automation
Process control, motion systems, electromechanical equipment, real-time control.
Robotics
Motion control, stability control, multi-robot systems, autonomous platforms.
Tools & Technologies






01 Modeling
MATLAB & Simulink
system modeling, control design, dynamic analysis, and simulation.
02 Control Design
PLECS
power electronics, converter and inverter modeling, control development, and switching analysis.
03 Simulation
PLECS RT Box
real-time control testing and Hardware-in-the-Loop simulation.
04 Automation
Python
scripting, data analysis, and automation around simulation workflows.
04 Real-tim Testing
dSPACE & Speedgoat
real-time control development and Hardware-in-the-Loop testing.
05 HiL
Stateflow
modeling control logic, state machines, and operating modes within Simulink.
Why WiredWhite is the Perfect Engineering Partner for You
⏱ 15+ Years
industry experience
👨 1000+
networked engineering professionals
🔄 Integrated
project collaboration tools
✅ 100%
Proficient in advanced engineering tools
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