Optimization of hydrostatic-mechanical transmission control strategy by means of torque control

Xiang, Yusheng; Mutschler, Stefen; Brix, Norman; Brach, Christine; Geimer, Marcus

doi:10.25368/2020.49

Cited by 7 publications

(5 citation statements)

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“…Engineers can optimize control strategies by accurately estimating the torque, ensuring the system operates safely while attaining the desired performance metrics. Where energy-efficient control schemes can be implemented, they prolong the mechanical components' lifespan [18]. In safety-critical applications such as automotive systems, robotics, and industrial machinery, accurate torque prediction is imperative for ensuring the safety and reliability of the controlled system.…”

Section: Relevance Of Torque Prediction In Mechanical Systemsmentioning

confidence: 99%

“…The algorithms that determine the parameters of the model are presented in Table 1. Their objective is to minimize the RMSE, finding the specific parameters that close the gap between the predictive torque and the experimental measurement, as shown in Equation (18). Each metaheuristic algorithm proposed in this work is described below.…”

Section: Algorithm Implementationmentioning

confidence: 99%

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A Comparative Analysis of Metaheuristic Algorithms for Enhanced Parameter Estimation on Inverted Pendulum System Dynamics

Sanin-Villa,

Rodriguez-Cabal,

Grisales-Noreña

et al. 2024

Mathematics

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This research explores the application of metaheuristic algorithms to refine parameter estimation in dynamic systems, with a focus on the inverted pendulum model. Three optimization techniques, Particle Swarm Optimization (PSO), Continuous Genetic Algorithm (CGA), and Salp Swarm Algorithm (SSA), are introduced to solve this problem. Through a thorough statistical evaluation, the optimal performance of each technique within the dynamic methodology is determined. Furthermore, the efficacy of these algorithms is demonstrated through experimental validation on a real prototype, providing practical insights into their performance. The outcomes of this study contribute to the advancement of control strategies by integrating precisely estimated physical parameters into various control algorithms, including PID controllers, fuzzy logic controllers, and model predictive controllers. Each algorithm ran 1000 times, and the SSA algorithm achieved the best performance, with the most accurate parameter estimation with a minimum error of 0.015 01 N m and a mean solution error of 0.015 06 N m. This precision was further underscored by its lowest standard deviation in RMSE (1.443 99×10−6 N m), indicating remarkable consistency across evaluations. The 95% confidence interval for error corroborated the algorithm’s reliability in deriving optimal solutions.

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Section: Relevance Of Torque Prediction In Mechanical Systemsmentioning

confidence: 99%

Section: Algorithm Implementationmentioning

confidence: 99%

A Comparative Analysis of Metaheuristic Algorithms for Enhanced Parameter Estimation on Inverted Pendulum System Dynamics

Sanin-Villa,

Rodriguez-Cabal,

Grisales-Noreña

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

“…The challenges of pump-controlled hydraulic systems, such as load-pressure variance for load-sensing hydraulics [5] and poor tracking for displacement control hydraulics, have been investigated [6]. A pump-controlled rotary hydraulic actuation system efficiency has been improved for the drivetrains of mobile platforms [7][8][9][10]. In this paper, we focus on a valvecontrolled linear hydraulic actuation system in Figure 1 with a single actuator because it represents a common system design found on mobile platforms with good tracking performance.…”

Section: Introductionmentioning

confidence: 99%

Constrained Optimization of a Hydraulic Actuation System

Fox

Chong

2022

Energies

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Operators of mobile platforms that employ hydraulic actuation, such as excavators, seek more efficient power transfer from source to load. Pump-controlled architectures achieve greater efficiency than valve-controlled architectures but exhibit poor tracking performance. We present a system-design optimization technique that ensures compliance with design requirements and minimizes peak input power, which correlates inversely with efficiency. We utilize the optimization technique to size a valve-controlled hydraulically actuated stabilized mount on a mobile platform. Our optimization framework accounts for the disturbance spectrum, a stabilization performance measure, the system dynamics, and control system design. Our technique features automated requirement derivation in the form of a parameter estimation, which supports design decisions under constraints. Our results show that one of four inequality constraints is active. This constraint represents a common design rule and results in limiting efficiency. We show that relaxing this constraint is practically feasible and leads to higher efficiency in achieving the required performance. We propose adding an inerter to justify the relaxed constraint and present the resulting open-loop servo transfer function.

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“…One of the reasons is the fluctuation of output torque during the shifting process. Based on the primary torque control concept from Bosch Rexroth [1][2][3], we developed a controller to optimize the shifting process of a dual-clutch transmission, resulting in a fast and smooth shifting process. As a basic idea of this algorithm, the hydraulic motor and the clutches should cooperate with each other to accurately track the desired drive torque.…”

Section: Introductionmentioning

confidence: 99%

“…However, it does not always indicate better overall efficiency since the hydraulic pump or motor may work in a worse condition to guarantee the required transmission ratio. Thus, the introduction of a mechanical gearbox after the hydraulic drive system to avoid the unsuitable operating conditions has become a consensus [3]. Although the combination of HST and a mechanical gearbox is widely used in industry, it is rarely mentioned in research papers.…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Hydrostatic-Mechanical Mobile Machines with a Dual-Clutch Transmission

Xiang

Brach

et al. 2022

Energies

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Mobile machines using a hydrostatic transmission is highly efficient under lower working-speed condition but less capable at higher transport velocities. To enhance overall efficiency, we have improved the powertrain design by combining a hydrostatic transmission with a dual-clutch transmission (DCT). Compared with other mechanical gearboxes, the DCT avoids the interruption of torque transmission in the process of shifting without sacrificing more transmission efficiency. However, there are some problems of unstable torque transmission during the shifting process, and an excessive torque drop occurring at the end of the gear shift, which result in a poor drive comfort. To enhance the performance of the novel structural possibility of powertrain design, we designed a novel control strategy, which maintains the sliding in the torque phase and reduces the difference before and after the engagement, for the motor torque and the clutch torques during the shifting process, and then validated the control effect with model-based simulation. As a result, the control strategy employing clutch and motor torque control achieve a smooth shifting process since the drive torque is well tracked, and highly dynamical actuators are not required. As another benefit, only two calibration parameters are designed and actually needed to adjust the control performance systematically, even for any different sizes machines. Our research indicates the possibility to adopt dual-clutch in the field of construction machines.

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Optimization of hydrostatic-mechanical transmission control strategy by means of torque control

Cited by 7 publications

References 0 publications

A Comparative Analysis of Metaheuristic Algorithms for Enhanced Parameter Estimation on Inverted Pendulum System Dynamics

A Comparative Analysis of Metaheuristic Algorithms for Enhanced Parameter Estimation on Inverted Pendulum System Dynamics

Constrained Optimization of a Hydraulic Actuation System

A Novel Algorithm for Hydrostatic-Mechanical Mobile Machines with a Dual-Clutch Transmission

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