Unwanted motion and vibrations can significantly compromise system accuracy. Our Dynamics & Control expertise provides the insight and methods to analyse, model and control both dynamic behaviour and motion performance. Whether during development, redesign or field troubleshooting. The approach is grounded in simulation, validation and practical design measures.
System Dynamics addresses vibration-related challenges in mechatronic systems. Uncontrolled vibrations often arise from a combination of environmental factors and suboptimal design choices in the dynamic architecture. These issues can limit system performance and accuracy. We apply numerical simulations and experimental validation to gain deep insights into dynamic behavior, enabling targeted design improvements. This methodology supports the development of new systems, redesigns of existing platforms, and troubleshooting in operational environments.
Reduce complex systems to simplified dynamic models, or incorporate FEM models into state-space representations for accurate performance prediction.
Measure structural dynamics—eigenfrequencies, eigenmodes, and damping—for validation or troubleshooting of complex systems.
Analyse dominant vibration sources such as flow-induced effects, building-floor interaction, or stage dynamics, and advise on effective design solutions.
Design and apply passive or active damping systems, such as (tuned) mass dampers or airmount isolations, to improve dynamic stability.
Development and implementation of basic and advanced motion control strategies plus validation of controller designs for a broad range of applications. Always improving system performance, i.e. increased accuracy, throughput or robustness.
Reduce complex systems to simplified dynamic models, or incorporate FEM models into state-space representations for accurate performance prediction.
Measure structural dynamics—eigenfrequencies, eigenmodes, and damping—for validation or troubleshooting of complex systems.
Analyse dominant vibration sources such as flow-induced effects, building-floor interaction, or stage dynamics, and advise on effective design solutions.
Design and apply passive or active damping systems, such as (tuned) mass dampers or airmount isolations, to improve dynamic stability.
Development and implementation of basic and advanced motion control strategies plus validation of controller designs for a broad range of applications. Always improving system performance, i.e. increased accuracy, throughput or robustness.
System architecture upgrade for a semiconductor equipment supplier, aimed at improving die placement accuracy at high throughput.
Mechanical interface optimization for an industrial printing system to enable stable operation of a high-precision camera module.
Design and tuning of an actuator system for accurate optical alignment under environmental vibration conditions in precision equipment.
Full dynamic simulation and experimental verification of a large-scale mechatronic system in advanced manufacturing.
Design, analyses and experimental validation of advanced controller strategies to provide laser guiding accuracy by actuated multiple mirrors control system in pm range.
Contributed to design and hands-on motion control implementation, using hydraulic actuation, at sea to allow for stable and secure windmill assembly from cargo ships.
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We help solve challenges that limit the accuracy, stability, and performance of mechatronic systems. Our work typically starts with a thorough root cause analysis to identify the underlying mechanisms behind unwanted behaviour, rather than focusing solely on the symptoms. By combining numerical simulations with experimental testing and validation, we gain a deep understanding of system behaviour and develop practical, effective solutions. Whether supporting a new development, troubleshooting performance issues in ana existing machine, or improving an operational system, we help identify the critical factors and implement the most impactful improvements.
Every challenge starts with a structured problem analysis. Using a structured approach, we systematically investigate potential causes and focus on the facts that have the greatest impact on system performance. We combine numerical simulations, experimental modal analysis, and practical measurements to understand how the system behaves under real operating conditions. This allows us to determine whether performance limitations originate from the mechanical design, motion control strategy, environmental influences, component interfaces, or the interaction between these factors. Our approach is pragmatic: we gather the insights needed to identify the root cause and define effective improvements, without adding unnecessary complexity. This ensures that effort is focused where it delivers the most value.
Yes. Our expertise in system dynamics can be applied throughout the entire machine lifecycle, from early-stage development to performance improvement of existing systems in the field. By understanding how mechanical, control and dynamics effects interact at the system level, we identify the factors that limit performance and define the most effective improvements. Depending on the challenge, this may involve changes to the machine architecture, structural design, motion control strategy, damping concepts, or system interfaces. Whether developing a new machine or optimising an existing one, our goal is the same: improving system performance in terms of accuracy, throughput, stability and robustness.
At Nobleo, we combine numerical simulations with experimental validation to build confidence in design decisions and reduce development risks. Numerical simulations allow us to predict a system’s dynamic behaviour before physical prototypes or design chances are implemented. This helps identify potential issues early, avoid costly redesigns, and accelerate convergence towards an optimal solution. However, simulations alone are not enough. Many of our clients operate in demanding real-world environments where performance must be proven under actual operating conditions. Experimental validation is therefore used to verify simulation results, confirm that risks have been effectively mitigated, and ensure the system performs as expected in practice. By combining simulation and testing, we gain a comprehensive understanding of system behaviour, enabling well-founded engineering decisions, reduced development risk, and more reliable products.
Damping solutions are considered when unwanted vibrations limit system performance or stability. By analysing the dynamic behaviour of the system, we determine what the most suitable solution is. A range of damping techniques can be applied, including passive damping, active damping, constrained layer damping, eddy current damping, tuned mas damping and robust mass damping. The optimal choice is driven by the system characteristics, vibration mechanisms, and performance objectives. By selecting and implementing the appropriate damping strategy, we reduce vibrations and improve overall machine performance.
The best control strategy is not always the most advanced one. Often, a carefully tuned PID controlled combined with feedforward control is all that is needed to meet performance targets. For more challenging applications, we leverage advanced techniques such as robust control, iterative learning control, and modal control. Our goal is always the same: achieving the required performance with the simplest and most effective solution.
There is rarely a single factor that determines the dynamic performance of a mechatronic system. In most cases, performance is influenced by the interaction between mechanical design, component interfaces, structural dynamics, motion control, disturbance sources, and environmental conditions. Rather than focusing on individual components in isolation, we analyse the complete system to identify the critical perofrmance-limiting factors. This system-level approach helps us determine where improvements will have the greatest impact and ensures that optimisation efforts are focused on the real bottlenecks.
Achieving high accuracy at high speeds requires more than a well-designed system alone. At Nobleo, motion control is considered a crucial factor in overall system performance and is addressed from the earliest stages of system design. By jointly optimising the mechanical design, system dynamics, actuator selection, sensing, and control architecture, we create systems that are inherently easier to control and capable of achieving higher performance levels. Out engineers have experience with a wide range of actuation technologies, including voice coil actuators, linear motors, BLDC motors, and stepper motors. Depending on the application, we apply advanced control techniques such as feedforward control, disturbance rejection, force control, motion compensation, iterative learning control, modal control, and robust control strategies. This integrated approach enables us to improve positioning accuracy, increase throughput, reduce settling times, and maintain robust performance under varying operating conditions.