Force-Based Autopilot Control for Fixed-Wing Aircraft and Vehicles
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Solution Overview
Problem
Current autonomous driving systems for fixed-wing aircraft and vehicles lack a comprehensive control logic to replicate human driving skills effectively, relying on experiential teaching methods and failing to achieve desired performance due to the absence of a formalized theoretical framework.
Innovation Solution
An automatic control method and system that utilizes principles of mechanics to simulate driver control techniques by acquiring and calculating force data from laser gyroscope systems, establishing a three-dimensional spatial model, and constructing a force control coordinate model to guide flight or car control systems for precise and efficient automatic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving systems rely on experiential teaching methods without a formalized theoretical framework, then the system can be implemented with existing techniques, but the control accuracy and performance fail to reach the desired level
Solution Approach 1:
The patent replaces traditional mechanical control approaches with a force-based control model. By establishing a force control coordinate model that calculates actual forces acting on the aircraft/vehicle (lift, drag, thrust, gravity) and using these forces as control inputs, the system achieves more accurate control than conventional methods. This substitution of control paradigm enables precise replication of human driving logic through formalized mechanical principles.
Solution Approach 2:
The patent transforms the control approach by changing from position/velocity control parameters to force control parameters. The force control coordinate model computes actual forces acting on the vehicle and uses these force parameters as the basis for control decisions. This parameter transformation enables the system to capture the fundamental physics of vehicle dynamics, improving control accuracy while providing a systematic theoretical framework.
2Adaptability or versatility
If human driving techniques are not formalized into a comprehensive theoretical framework, then the control system can be simpler to implement, but the autonomous system cannot faithfully replicate human driving skills
Solution Approach 1:
The patent creates a formalized copy of human driving logic by establishing a force control coordinate model that replicates how human drivers perceive and respond to vehicle dynamics. Instead of attempting to copy complex human cognitive processes, the system copies the underlying mechanical principles that human drivers intuitively understand - the forces acting on the vehicle and how to counteract them. This copying approach enables faithful replication of human driving skills through a systematic framework.
Solution Approach 2:
The patent introduces force calculation as an intermediary between sensor data and control actions. The force control coordinate model serves as a mediator that translates raw sensor measurements into meaningful force parameters, which then guide control decisions. This intermediary layer formalizes the connection between physical vehicle states and control responses, enabling systematic replication of human driving behavior without requiring direct encoding of complex human decision-making processes.
3Reliability
If the control system uses traditional methods without force-based modeling, then the system development is faster and easier, but the control precision and adaptability to various conditions are insufficient
Solution Approach 1:
The patent performs preliminary calculation of force parameters by establishing a force control coordinate model that pre-computes the actual forces acting on the vehicle based on sensor measurements. By calculating lift, drag, thrust, and gravity components in advance and using these pre-computed force parameters for control decisions, the system improves reliability under varying conditions while optimizing real-time performance. This preliminary action approach prepares the control system with physically meaningful parameters before actual control execution.
Data Source
AI summary
The present invention discloses an automatic control method and system for fixed-wing aircraft and autonomous driving vehicles, which pertains to the field of aircraft control technology. The method comprises the following steps: acquire actual measurement data and relevant data measured by a laser gyroscope system during the motion process of the fixed-wing aircraft/autonomous driving vehicles to calculate the force data acting on the aircraft/vehicles; establish a three-dimensional spatial model and construct a force control coordinate model within the three-dimensional spatial model based on the force data acting on the aircraft/vehicles and automatically control the operational state and position of the aircraft/vehicles based on the force control coordinate model. The present invention combines the principles of mechanics to simulate the fundamental logic of driver operation techniques, and combines real-time data to enable precise and effective automatic control of aircraft and vehicles.