This article focuses on the research and development of a remote cab controller
for pure electric loaders, aiming to address the threats posed by traditional
loaders operating in harsh and hazardous environments to drivers’ health and
safety. First, the functional requirements of the controller were analyzed,
based on which the hardware design with a multicore microprocessor as the core
was completed, featuring functions such as signal acquisition, controller area
network (CAN) communication, and H-bridge driving. On this basis, a control
algorithm framework for remote driving was developed, including modules for
signal input, analysis and processing, and signal output. Detailed control
strategies were formulated for key components: For the pedal sensor, algorithms
for opening degree calculation, automatic zero-position calibration, and
dual-signal redundant fault diagnosis were proposed; for the steering module,
precise angle calculation and force feedback feel simulation were achieved; and
for the electric control handle, a hysteresis control algorithm was developed to
suppress shocks caused by overly fast operations. In addition, a hierarchical
fault diagnosis mechanism was established to ensure system safety. To verify the
controller performance, a complete remote driving system was built. Field test
results show that the system exhibits good signal following and control
responsiveness in terms of traveling and working functions. Efficiency tests
indicate that the remote driving efficiency can reach 80% of that of in-person
operation under short-term test conditions, demonstrating the technical
feasibility and control effectiveness of the developed controller. While the
prototype exhibits promising performance for pilot deployment, long-term
reliability metrics such as mean time between failures (MTBF) remain to be
validated through extended field operation.