Quantum-Driven Actuator Control for Nonlinear Position Stability
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Solution Overview
Problem
Existing actuators face challenges in maintaining high precision and robustness under varying drive conditions and temperature environments, with conventional control methods being complex and unsuitable for effectively addressing non-linear characteristics and individual device variations.
Innovation Solution
An actuator equipped with a quantum-driven control unit that utilizes quantum gate operations to perform probability-based control, incorporating a measurement unit, command unit, and control quantity correction unit to adjust control quantities based on target and measured states, improving controllability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional PID control is used to control vibration-type actuators, then basic position feedback control can be achieved, but control precision deteriorates under varying drive conditions and temperature environments due to non-linear characteristics
Solution Approach 1:
The patent applies parameter changes by transitioning from classical control parameters (PID gains) to quantum control parameters (quantum gates and probability amplitudes). The quantum controller adjusts the probability amplitudes of control parameters (frequency, phase difference, voltage) to achieve precise position control that adapts to non-linear characteristics and environmental variations, thereby resolving the contradiction between reliability and precision.
2Measurement precision
If control parameters (frequency, phase difference, voltage) are adjusted to improve controllability, then position control accuracy can be enhanced, but system complexity increases
Solution Approach 1:
The patent replaces the classical mechanical control system (PID controllers adjusting frequency, phase, voltage separately) with a quantum computational system. The quantum controller uses quantum gates to process control parameters in a unified probabilistic framework, reducing the complexity of coordinating multiple control parameters while improving position control accuracy through quantum superposition and interference effects.
3Adaptability or versatility
If neural networks are used to model actuator characteristics, then controllability can be improved, but individual device variations and temperature effects still impair performance
Solution Approach 1:
The patent applies dynamics by making the quantum control system adaptive to changing conditions. Unlike static neural network models, the quantum controller dynamically adjusts probability amplitudes based on real-time feedback, allowing it to adapt to individual device variations and temperature effects. This dynamic adaptation maintains control performance consistency across different operating conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The quantum-driven control unit enhances actuator controllability by reducing position deviation and maintaining control performance despite environmental fluctuations, offering high precision and robustness.
Implementation Method 1
a vibration-type actuator is a non-electromagnetic motor that is configured such that an electro-mechanical energy conversion element, e.g., a piezoelectric element, bonded to an elastic body is applied with an AC voltage, thereby generating high-frequency vibrations in the element
Data Source
Figure 1A~1B
Figure 1C~1D
Figure 2A
AI summary
To solve the above-mentioned problem, an actuator is provided. The actuator includes a control unit having a control quantity correction unit that takes a signal based on a target state indicated by a command and a measured state as input, and corrects a control quantity for driving a first member, computed by a quantum gate operation. A second member operates in response to the first member being driven based on the corrected control quantity.