Analog Position Estimation for Enhanced Stability and Fidelity of Haptic Systems.

Area of Science:

• Robotics
• Control Systems
• Haptics

Background:

• Accurate and low-latency position sensing is crucial for realistic haptic feedback.
• Digital implementations often suffer from latency and discretization artifacts, limiting performance.

Purpose of the Study:

• To propose and evaluate novel methods for computing low-latency analog position.
• To assess the impact of these methods on the fidelity and stability of analog viscoelastic virtual environments.

Main Methods:

• Three methods for analog position computation were developed, two fusing encoder and rate gyro data.
• One method uses gyro bias correction with encoder data; another uses an encoder-referenced resettable integrator.
• The methods were tested on a one-degree-of-freedom haptic simulation system.

Main Results:

• A low-latency analog position signal with over 98% accuracy compared to sampled encoder signals was achieved.
• Analog viscoelastic virtual environments demonstrated a virtual stiffness range exceeding 400%.
• Enhanced fidelity was observed compared to common digital implementations.

Conclusions:

• The proposed methods effectively compute low-latency analog position signals.
• These signals enable the creation of high-fidelity analog haptic environments with improved performance characteristics.