A stability governor for constrained linear–quadratic MPC without terminal constraints

Leung, Jordan; Permenter, Frank; Kolmanovsky, Ilya V.

doi:10.1016/j.automatica.2024.111650

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…The open-loop optimization problem in a certain time domain is solved online, and the first element of the obtained control sequence is applied to the controlled object. At the next sampling time, the above process is repeated to re-solve [44][45][46].…”

Section: Start-up Control Simulation Platform Establishment 241 Desig...mentioning

confidence: 99%

Design and Optimization of Power Shift Tractor Starting Control Strategy Based on PSO-ELM Algorithm

Qian,

Wang,

2024

Agriculture

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Power shift tractors have been widely used in agricultural tractors in recent years because of their advantages of uninterrupted power during shifting, high transmission efficiency and high stability. As one of the indispensable driving states of the power shift tractor, the starting process requires a small impact and a starting speed that meets the driver’s requirements. In this paper, aiming at such contradictory requirements, the starting control strategy of a power shift tractor is formulated with the goal of starting quality and the driver’s intention. Firstly, the identification characteristics of the driver under three starting intentions are obtained by a real vehicle test. An extreme learning machine with fast identification speed and short training time is used to establish the basic driver’s intention identification model. For the instability of the identification results of the Extreme Learning Machine (ELM), the particle swarm optimization algorithm (PSO) is used to optimize the ELM. The optimized extreme learning machine model has an accuracy of 96.891% for driver’s intention identification. The wet clutch is an important part of the power shift gearbox. In this paper, the starting control strategy knowledge base of the starting clutch is established by a combination of bench tests and simulation tests. Through the fuzzy algorithm, the driver’s intention is combined with the starting control strategy. Different drivers’ intentions will affect the comprehensive evaluation model of the clutch (the single evaluation index of the clutch is: the maximum sliding power, the sliding power, the speed stability time, the impact degree), thus affecting the final choice of the starting clutch control strategy considering the driver’s intention. On this basis, this paper studies and establishes the MPC starting controller for the power shift gearbox. Compared with the linear control strategy, the PSO-ELM-fuzzy weight starting strategy proposed in this paper can reduce the maximum sliding friction power by 45%, the sliding friction power by 69.45%, and the speed stabilization time by 0.11 s. The effectiveness of the starting control strategy considering the driver’s intention proposed in this paper to improve the starting quality of the power shift tractor is verified.

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Section: Start-up Control Simulation Platform Establishment 241 Desig...mentioning

confidence: 99%