Electric Forklift Steering Control Using PWM and Encoder Feedback

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Solution Overview

Problem

Current electric forklift steering systems, particularly those using brushless DC motors, face challenges in providing real-time response, high power requirements, and high maintenance costs, leading to inefficiencies and increased power consumption.

Innovation Solution

A steering control system for electric forklifts incorporating a brushless DC motor, a steering wheel encoder, a power driver, a sampler, and a controller that generates PWM control signals based on rotating speed and direction signals to optimize motor operation, including segmented speed rise strategies for efficient starting and reduced power consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a brushless DC motor is used in the electric power steering system, then the maintenance cost is reduced and efficiency is improved, but idle speed control is required which prevents real-time response during steering

Engineering Contradiction:
Improvemaintenance costVSAvoidreal-time response
Core Design Contradiction:
ReliabilityVSSpeed

Solution Approach 1:

The system performs preliminary actions by pre-detecting steering wheel rotation through the encoder and pre-calculating the required motor acceleration before the steering action is fully executed. This allows the brushless DC motor to be ready to respond immediately when needed, eliminating the delay caused by idle speed control requirements.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback by using the encoder to monitor steering wheel position and rotation in real-time, and by sampling the motor's actual speed and position. This feedback loop allows the controller to dynamically adjust PWM duty cycles to achieve real-time response while maintaining efficient brushless DC motor operation without idle speed control.

Inventive Principle:
Principle #23Feedback

2Speed

If the brushless DC motor responds quickly to steering requests, then real-time response is achieved, but power consumption increases

Engineering Contradiction:
Improveresponse speedVSAvoidpower consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The system dynamically adjusts the motor's operating parameters based on real-time steering requirements. The controller calculates the exact acceleration needed based on the steering wheel's rotation speed and direction, then applies only the necessary PWM duty cycle to achieve the required response. This dynamic adjustment ensures quick response when needed while minimizing power consumption during normal operation.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes motor parameters dynamically by adjusting PWM duty cycles based on the detected steering wheel rotation. When rapid response is needed, the controller increases the duty cycle to provide higher acceleration. When steady-state steering is maintained, the duty cycle is reduced to minimize power consumption, thus achieving both fast response and energy efficiency.

Inventive Principle:
Principle #35Parameter changes

3Use of energy by moving object

If segmented speed rise strategy is used to reduce hardware drive pressure and achieve zero-speed start, then power consumption is reduced and hand feeling is improved, but control complexity increases

Engineering Contradiction:
Improvepower consumptionVSAvoidcontrol complexity
Core Design Contradiction:
Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The speed rise process is segmented into multiple stages with different acceleration rates. The controller divides the startup process into phases: initial zero-speed start with low acceleration, intermediate acceleration phase, and final speed stabilization phase. This segmentation reduces the peak current demand on hardware while providing smooth hand feeling, and the control logic is implemented through structured conditional statements that manage the complexity systematically.

Inventive Principle:
Principle #1Segmentation

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 system enables real-time response to steering requests, improves steering efficiency, reduces power consumption, and lowers maintenance costs by ensuring a smooth hand feeling during wheel rotation and implementing overvoltage and overcurrent protection.

Implementation Method 1

an electric machine, which is controlled by a controller to drive a steering mechanism of the mobile machine

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

a control circuit, which performs a control by means of a PWM method based on control parameters calculated on the basis of a difference between a target rotational speed and an actual rotational speed

Methodology Applied
Scientific EffectPulse width modulation:

Data Source

PatentEP2878572B1Electric forklift, steering control system used for the same and method for controlling electric forklift
Publication Date: 2017.10.18 BYD CO LTD
  • EP2878572B1 patent drawing
  • EP2878572B1 patent drawing
  • EP2878572B1 patent drawing

AI summary

A steering control system used for an electric forklift, an electric forklift and a method for controlling an electric forklift are provided. The system includes: a brushless DC motor (1); a steering wheel encoder (2), configured to detect a rotating speed signal and a direction signal of a steering wheel; a power driver (3), connected with the brushless DC motor (1) and configured to drive the brushless DC motor (1); a sampler (4), connected with the brushless DC motor (1) and configured to sample an operation of the brushless DC motor (1) to generate a sampling signal; and a controller (5), connected with the steering wheel encoder (1), the power driver (3) and the sampler (4) respectively and configured to generate a PWM control signal according to the rotating speed signal, the direction signal, the sampling signal and a predetermined control strategy to control the brushless DC motor (1).