Research on Cross-Control of Dual-Redundant Starter Motors in Diesel Generators

Feng Qian1

Shaokang He1

Caixia You1, Email

Jie Wang1

Xiong Bao1

Chao Wang1

Ruyi Jia1

Kaitai Hong1

Chen Bai2

Kai Wang3

Xiaofeng Guo4

Timo M. R. Alho

Tao Yu6

1School of Automobile and Traffic Engineering, Hubei Provincial Engineering Research Center of Advanced Chassis Technology for New Energy Vehicles, Wuhan Scientific and Technological Achievements Transformation Pilot Platform (Base) of Automotive Intelligent Sensor, Wuhan University of Science and Technology, Wuhan, 430065, China

2The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, 430063, China

3Cummins Power Generation (China) Co., Ltd, Wuhan, 430056, China

4LIED UMR 8236, CNRS,Université Paris Cité, Paris, F-75006, France

5Vaasa University of Applied Sciences, Vaasa, FI-65200, Finland

6Kangjirun Electromechanical Technology Co.,Ltd., Xiangzhou District, Xiangyang, 441000, China

Abstract

To mitigate potential risks such as starter motor failures and control link malfunctions in the startup control system of emergency backup diesel generators in data centers—risks that may impede the generator’s normal startup—this paper proposes a dual-redundant starter motor cross-controller. The controller is designed to enhance the system’s fault-tolerance capability and ensure cross-control stability during the startup process. First, based on the PWM (Pulse Width Modulation) input characteristics of dual-redundancy motors, a cross-control strategy is constructed. Second, a dual-redundancy starting motor model is built according to the starting motor type, and fuzzy adaptive PID (Proportional-Integral-Derivative) is used to adjust the motor’s output speed. Subsequently, hardware PCB (Printed Circuit Board) and software logic are designed, followed by experimental verification. Results show: under fuzzy PID control, the diesel generator speed (0 to 1500 r/min) has a control accuracy error of 1.33%; under the dual-redundancy strategy, the standby motor switching response time is ≤ 0.3 seconds with 100% fault recovery success; traditional PID has obvious oscillation and overshoot in the initial 0.02 seconds, while fuzzy PID takes only 0.017 seconds to reach a stable state in motor simulation. This controller significantly improves key performance of dual-redundancy motors, such as starting reliability and control accuracy.