Size motors and determine feasible axis motion
Model DC motor torque and speed, estimate servo RMS and peak load, and test point-to-point motion-time feasibility.
Estimate motor torque and speed, servo duty, positioning accuracy, tracking error and control-loop feasibility for electromechanical systems. Connect motion demands with drive limits, sensing quality and controller behavior before relying on a performance estimate.
Choose the check or decision you need to make, then open the appropriate calculator.
Model DC motor torque and speed, estimate servo RMS and peak load, and test point-to-point motion-time feasibility.
Screen servo following error, electronic cam/gearing lag and settling or positioning accuracy requirements.
Compare sample rate and delay with crossover bandwidth, and quantify fusion uncertainty for two correlated sensors.
Compare Cohen–Coon and Ziegler–Nichols FOPDT tuning with ultimate-gain/oscillation-based Ziegler–Nichols settings.
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Use focused mechatronics calculators to screen feasibility after defining the physical axis, actuation technology, motion requirements and available sensor data.
Move to full electromechanical modeling and testing when servo dynamics, thermal behavior or coupled axes dominate performance.
Begin with motion profile, load inertia and required peak/continuous torque. Then compare the manufacturer torque–speed curve, drive current, gearbox characteristics and thermal duty cycle.
Peak torque relates to the maximum instantaneous motion or load event. RMS torque represents the heating-equivalent duty over the modeled cycle and is central to continuous thermal sizing.
No. Resolution is only one contribution; mechanical compliance, backlash, sensor errors, control response, thermal changes and repeatability also affect delivered accuracy.
No. Cohen–Coon and Ziegler–Nichols methods give starting parameters based on particular models or tests. Actual control performance requires commissioning, stability assessment and validation.
A controller that reacts too quickly near structural resonance can amplify oscillations and reduce stability margin. Sampling, delay and noise can constrain usable bandwidth as well.
It is the estimated angular mismatch between a commanded master/slave relationship and the modeled slave response. Real performance additionally depends on axis dynamics, feedback and controller implementation.
No. The two-sensor BLUE calculation depends on unbiased measurements and the supplied uncertainties and correlation. Highly correlated measurements or unsuitable assumptions may limit the improvement. Latency and sampling constraints require separate review.
No. The servo motor sizing tool checks estimated RMS and peak torque, thermal utilization and inertia ratio. Positioning accuracy, closed-loop bandwidth, tracking error and settling time are distinct checks covered by other tools in this category.