Senhao Zhang - IEEE Xplore Author Profile

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The trajectory tracking performance is the foundation for self-driving trucks. To address the effects of communication delay and load variation on the trajectory tracking accuracy of automatic trucks, this article proposes a T-S fuzzy tube model prediction trajectory tracking control strategy. It includes the T-S fuzzy extended observer and the adaptive tube model prediction control. The T-S fuzzy...Show More
In order to promote the safety redundancy of steer-by-wire system, a dual-motor steer-by-wire (DMSBW) system is designed in this article. However, when one of the steering motors fails seriously, the vehicle's angle tracking performance is affected, which is exacerbated by load fluctuation and limited CAN communication bandwidth in the control system. Therefore, we innovatively establish DMSBW swi...Show More
High-precision trajectory tracking is the basis for achieving safe driving of automatic trucks. However, variable loads can cause changes in vehicle parameters, leading to a severe decline in the tracking accuracy of autonomous trucks. To address this problem, we propose a variable Tube-based model predictive trajectory tracking control strategy with strong robustness to load changes. The variable...Show More
In order to meet the requirement of a higher safety level for the steer-by-wire (SBW) system, this article proposes a dual-motor SBW (DMSBW) system to realize its safety redundancy function. Aiming at the problem of vehicle tracking performance degradation when the steering motors of the DMSBW system have serious failures, a performance-guaranteed adaptive switching fault-tolerant control (FTC) st...Show More
With the development of the electric power industry, the accumulated data on electricity is gradually showing a massive trend. To effectively classify the massive load data, a power load clustering method combined with a dimensionality reduction method is proposed in this paper for classifying the daily load curve sets. The principal component analysis method is first used to realize the dimension...Show More