Disturbance Observer-Based Discrete Sliding-Mode Control for a Marine Diesel Engine with Variable Sampling Control Technique

Li, Xuemin; Liu, Yuanyuan; Shu, Haoyu; Wang, Runzhi; Yang, Yunlong; Feng, Chen

doi:10.1155/2020/2456850

Cited by 4 publications

(8 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this method depends on accurate mathematical model of the controlled object, so its application space is limited compared with PID control technology. It should be noted that the diesel engine is a complex nonlinear system, and it is difcult to establish an accurate mathematical engine model, which seriously limits the application of sliding mode control in engine speed control feld [23]. Te research studies of model predictive control in diesel engine speed control also have some achievements [1].…”

Section: Introductionmentioning

confidence: 99%

Model-Based Control with Active Disturbance Rejection Algorithm for a Diesel Engine

Ding

Tu³

et al. 2023

Complexity

View full text Add to dashboard Cite

To improve the speed control performance of a diesel engine, the active disturbance rejection controller (ADRC) is designed by adding an arranging transition process to the traditional PID controller, extracting differential signals reasonably, and adopting nonlinear combination process to error signals. The ADRC is composed of a tracking differentiator (TD), an extended state observer (ESO), and a nonlinear state error feedback (NLSEF). Such constructed ADRC can adapt to the strong nonlinear and complicate working conditions of diesel engine for power generation. A simulation model of the diesel engine is built to verify the proposed ADRC, and simulation results are in good accordance with the experimental results. To further validate the advantages of the designed ADRC, the traditional PID is improved by TD. Meanwhile, performance comparisons are carried out between traditional PID controller, improved PID controller, and ADRC. Results present that the improved PID controller can achieve a better control performance than that of the traditional PID controller both in steady state and transient state. However, the ADRC can further improve the speed control performance evidently on the basis of the improved PID controller.

show abstract

Section: Introductionmentioning

confidence: 99%

Model-Based Control with Active Disturbance Rejection Algorithm for a Diesel Engine

Ding

Tu³

et al. 2023

Complexity

View full text Add to dashboard Cite

show abstract

“…Most of these engines are four-stroke gasoline engines and large two-stroke diesel engines. 10,13–16…”

Section: Introductionmentioning

confidence: 99%

“…Most of these engines are four-stroke gasoline engines and large two-stroke diesel engines. 10,[13][14][15][16] The typical MVEM was proposed by Elbert Hendricks in 1990. 12 Since then, various MVEMs have been proposed, most of which are models for specific types of engine control systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling of two-stroke aviation piston engines for control applications

Jiang

Zhou

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Two-stroke Aviation Piston Engines are multivariable systems with severe non-linear dynamics, making their modeling challenging for control engineers. Although many studies have been conducted on simplified modeling of four-stroke gasoline engines and large-scale two-stroke diesel engines for automobiles and ships, only a few have focused on the general modeling of small two-stroke aviation engines. Thus, extensive research on a general modeling method for two-stroke aviation engines is required. A general non-linear Mean Value Engine Model (MVEM) of two-stroke aviation piston engines is developed. Various parts of the model are represented by appropriate empirical equations that require little engine data and easily fit different engines. The objective is to develop a general and accurate method for rapid engine modeling that captures the main dynamics and can create control systems for two-stroke aviation piston engines. The model is validated using HIRTH-3203 and NU-57 measurement data, and the results show that the issues of fitting simplicity and general applicability are well addressed. Finally, the air-fuel ratio control based on the model predictive control method is carried out on the HIRTH-3203 MVEM, which demonstrates the effectiveness of the proposed MVEM in the controller design and evaluation. The proposed model may support the application of new control technologies, such as adaptive control and intelligent control, in the two-stroke aviation piston engine systems.

show abstract

“…Diesel engine has become the main power source of modern marines because of its high thermal efficiency and excellent durability [1], [2], [3]. This type of engine usually operates at several specified speeds to ensure that the marine is sailing at an appropriate speed [2], [3], [4], which requires us to exert precise closed-loop control over the diesel engine speed. However, diesel engine is a kind of typical strong nonlinear system, including the nonlinear relationship between fuel injection delay and fuel rail pressure, the change of combustion characteristics caused by environmental changes, the aging of engine parts and other factors [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…The advantage of this design is to make the controller closer to the actual control process. Reference [4] introduces the sliding mode control (SMC) into the speed control of marine diesel engine, and built a discrete SMC controller based on DO. The chattering problem of SMC algorithm is effectively reduced by the design of reaching law.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control With Disturbance Observer for Marine Diesel Engine Speed Control

Shu

Liu³

et al. 2023

IEEE Access

View full text Add to dashboard Cite

The application of model predictive control (MPC) algorithm in the fixed phase control of marine diesel engine speed is studied under the premise of considering model mismatch and external disturbance. Firstly, the steady-state error problem of conventional MPC controller is solved by changing nonlinear model to incremental form. Furthermore, discrete disturbance observer (DO) is introduced in the feedback correction, which can filter out the high-frequency disturbance and reduce the requirement of algorithm on the accuracy of model. Then, considering that nonlinear MPC based on DO (DONMPC) requires a large amount of online computation, the algorithm is simplified by preliminarily converting the nonlinear model to linear model. Through analysis, the controller performance of the two models is similar. Furthermore, considering that the speed of marine diesel engine is usually set to a few fixed reference values, a linear multi-model predictive controller based on DO (DOLMMPC) with less online calculation is proposed. Finally, the designed controllers are verified by experiments. The software simulations of the designed controllers and the PID controller are carried out on the cylinder-by-cylinder mean value engine model (MVEM). It is proved that the algorithm simplification method retains the control performance of the DONMPC algorithm, and the control performance of the designed two controllers is better than the PID controller. Moreover, the DOLMMPC controller and PID controller are tested on the semi-physical simulation platform. The results demonstrate that the DOLMMPC controller can meet the computational power limit of the microprocessor in practical engineering.

show abstract

Disturbance Observer-Based Discrete Sliding-Mode Control for a Marine Diesel Engine with Variable Sampling Control Technique

Cited by 4 publications

References 39 publications

Model-Based Control with Active Disturbance Rejection Algorithm for a Diesel Engine

Model-Based Control with Active Disturbance Rejection Algorithm for a Diesel Engine

Modeling of two-stroke aviation piston engines for control applications

Model Predictive Control With Disturbance Observer for Marine Diesel Engine Speed Control

Contact Info

Product

Resources

About