Transient Control of Fully Variable Valve Actuation for Diesel Engine Using Dynamic Programming Method

2019 ◽  
Author(s):  
Yong Lu ◽  
Jian Li ◽  
Dongyan Hou ◽  
Lixian Miao
Keyword(s):  
Dynamic Programming ◽  
Diesel Engine ◽  
Real Time ◽  
Pid Controller ◽  
Engine Performance ◽  
Control Parameters ◽  
Transient Conditions ◽  
The Real ◽  
Movement Parameters ◽  
Variable Valve

Abstract Fully variable valve technology of diesel engine can change the movement parameters of valve flexibly, and then the performance of engine can be improved. But the actual valve movement can’t track the optimal valve profile due to the nonlinear characteristics of hydraulic system in transient work conditions, which make the engine performance be deteriorated. To solve the problem, the paper introduced the idea of dynamic programming (DP) into the control of FVVA system. Firstly, the paper presented a new electro-hydraulic FVVA system. To verify the FVVA system, the GT-suite models of FVVA system and engine were built. Secondly, for the purpose of achieving optimal performance, based on the NSGA-II genetic algorithm, we got the database of the optimal valve profile movement parameters using modeFRONTIER platform. In database, there are multiple feasible solutions for one work condition. To achieve the optimal engine performance in every cycle, according to the real-time valve movement profile, the controller will choose different solutions with DP method in one cycle based on the database obtained before. The DP controller can make the engine performance to be optimal according to the real-time valve profile in transient conditions. In steady conditions, optimal valve profiles can be reached by a PID controller. Thirdly, the DP controller and PID controller were designed with Simulink separately. The DP controller will adjust valve control parameters in one cycle and the PID controller will adjust the parameters cycle by cycle. At last, the DP-PID controller was compared with the single PID controller which adjust control parameters once in one cycle. The simulation results show that the performance of engine with DP-PID controller is improved compared to the PID controller especially in transient conditions. The average brake power can be improved by 3.3% to 4.7% compared to single PID controller.

Research on the Multi-Parameters Matching Control of the Cooling System for the Diesel Engine on the Numerical Simulation Technology

2011 ◽  
Vol 383-390 ◽  
pp. 1423-1430
Author(s):  
Zuo Yu Sun ◽  
Xiang Rong Li ◽  
Liang Ping Guo ◽  
Xue Yan Zhang
Keyword(s):  
Diesel Engine ◽  
Fuel Economy ◽  
Internal Combustion Engines ◽  
Cooling System ◽  
Engine Performance ◽  
Control Parameters ◽  
Engine Efficiency ◽  
Future Emission ◽  
Engine System ◽  
Relationship Of

For the growing importance of future emission restrictions and the expanding requirement for a better fuel economy, the internal combustion engines are forced to be improved for the high strengthening direction. However, the heat loads of the engine is increasing according to the increasing of engine speed and power density, hence, the cooling system is faced to more challenge. For the cooling system is one of the key system which has more effect on the engine efficiency, fuel economy, and exhaust heats; optimize the matching control cooling system becomes one of the key technology to improve the engine performance. In this paper, several overall schemes of the cooling system are analyzed and discussed, and then one design scheme is determined to the optimal for the current diesel engine. A whole engine system is established by the software GT-Power, and the cooling system in the engine system is established by GT-Cool based on the above optimal scheme. During the simulation, the influence on the heat dissipating capability brought by the control parameters, injection advance angle, power, and torque are investigated. At last, the requirement of the heat released under full conditions is analyzed, and the relationship of the fuel consumption and the control parameters is investigated.

scholarly journals Optimization of Multi-Intelligent Robot Control System Based on Wireless Communication Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bin Li
Keyword(s):  
Control System ◽  
Remote Control ◽  
Motion Planning ◽  
Real Time ◽  
Wireless Network ◽  
Pid Controller ◽  
Network Control ◽  
Robot Arm ◽  
Network Control System ◽  
The Real

The robot is a very complex multi-input multioutput nonlinear system. It has time-varying, strong coupling, and nonlinear dynamic characteristics, and its control is very complicated. Due to the inaccuracy of measurement and modeling, coupled with changes in the load and the influence of external disturbances, it is actually impossible to obtain an accurate and complete dynamic model of the robot. We must face the existence of various uncertain factors of the robot. This paper analyzes the real-time communication protocol in the wireless network control system and confirms that the main way to improve the real-time performance of the wireless network control system is to implement the real-time media access control (MAC) protocol. This paper studies robots from the perspective of control and mainly discusses how to use artificial immune algorithms to design robust nonlinear proportion integral derivative (PID) controllers. A nonlinear PID controller is used to replace the classic PID controller. The nonlinear link can be adjusted with the change of the error, so as to achieve the purpose of improving the adaptability and robustness to obtain satisfactory tracking performance. We carried out selective compliance assembly robot arm (SCARA) robot remote control experiment, dual robot following experiment, SCARA and ABB robot collisionless motion planning experiment, and multirobot intelligent collaborative assembly experiment. The experimental results show that the C/S mode remote control system has good practicability and can complete remote tasks; the P2P communication system has good information transmission effects and can realize real-time information sharing between robots; the collision-free motion planning algorithm enables the dual robots to complete obstacle avoidance tasks well in complex operating environments; the functional modules of the system can closely cooperate to complete the tasks in coordination, and the multirobot system has a certain degree of intelligence.

Integrated Load-Split Scheme for Hybrid Ship Propulsion Considering Transient Propeller Load and Environmental Disturbance

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Nikolaos Planakis ◽  
George Papalambrou ◽  
Nikolaos Kyrtatos
Keyword(s):  
Diesel Engine ◽  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Engine Performance ◽  
Hybrid Plant ◽  
Environmental Disturbance ◽  
Time Operation ◽  
Marine Propulsion ◽  
Real Time Operation

Abstract This work addresses the design and experimental implementation in real-time of an integrated predictive load-split management system for the transient and fluctuating propeller load sharing. Control-oriented modeling of the power system was performed based on experimental data gathered from the hybrid plant and on first principles for the diesel engine behavior and battery charging. Propulsion plant and environmental disturbance models are developed to simulate realistic marine load application. A nonlinear model predictive control (NMPC) scheme is proposed for the optimal transient power-split problem of a hybrid diesel-electric marine propulsion plant. The NMPC scheme directly controls the torque output of the diesel engine and the electric motor/generator ensuring that certain constraints concerning the system overloading are met, avoiding fast accelerations and load fluctuations of the diesel engine that affect engine performance. To achieve offset-free model predictive control (MPC) control, an observer is developed to provide the propeller law parameter to the NMPC for load estimation. The control system was experimentally tested in real-time operation. Results showed that controller rejected load disturbances and maintained the desired rotational speed of the powertrain as well as the desirable state of charge (SOC) in battery within the power plant limits, achieving smooth power transitions and mitigation of power fluctuations of the diesel engine.

A Machine Learning Based Numerical Approach for Valve Seating Velocity Control in an Electromagnetic Camless System

2021 ◽  
Author(s):  
Srinibas Tripathy ◽  
Mithun Babu M. ◽  
Kanupriya M. ◽  
Mayank Mittal
Keyword(s):  
Machine Learning ◽  
Genetic Algorithm ◽  
Pid Controller ◽  
Engine Performance ◽  
Learning Tool ◽  
Variable Valve Actuation ◽  
Valve Operation ◽  
Variable Valve ◽  
Machine Learning Tool ◽  
Valve Actuation

Abstract Improving internal combustion engine performance is a significant concern over the past few decades for engine researchers and automobile manufacturers. One of the promising methods for improving the engine performance is variable valve actuation system with camless technology. In the camless system, the conventional spring-operated valve actuation mechanism is removed, and an actuator is used to independently control the valve events (lift, timing, and duration). Among different camless systems, electromagnetic variable valve actuation (EMVA) becomes more viable because of its faster valve operation. However, the major challenge is to control the valve seating velocity (velocity at which valve comes to rest during seating on the cylinder head) due to the absence of the cam mechanism. A sophisticated control system must be developed to achieve an acceptable valve seating velocity. In this study, a proportional-integral-derivative (PID) controller was used to control the EMVA system. A machine learning tool, i.e., genetic algorithm, and an iterative method, i.e., Ziegler-Nichols, were used to optimize the PID controller’s gain values. The valve lift profiles obtained using the Ziegler-Nichols method and the genetic algorithm were compared. It was found that the developed algorithm for the EMVA system can achieve faster rise time compared to the experimental results [25] utilized inverse square method. A parametric investigation was performed to verify the robustness of the PID controller with a change in temperature. It is concluded that the temperature rise may increase the resistance and inductance, but the controller with the updated gain values can control the EMVA system without affecting the performance parameter. The simulation was performed for both forward and backward strokes to investigate the valve seating velocity. It was found that the controller can achieve an acceptable valve seating velocity. Hence, the machine learning tool helps in optimizing the PID controller’s gain values to achieve faster valve operation with an acceptable valve seating velocity.

Research on the Multi-Parameters Matching Control of the Cooling System for the Diesel Engine on the Numerical Simulation Technology

2012 ◽  
Vol 433-440 ◽  
pp. 2670-2679
Author(s):  
Zuo Yu Sun ◽  
Xiang Rong Li ◽  
Liang Ping Guo ◽  
Xue Yan Zhang
Keyword(s):  
Diesel Engine ◽  
Fuel Economy ◽  
Internal Combustion Engines ◽  
Cooling System ◽  
Engine Performance ◽  
Control Parameters ◽  
Engine Efficiency ◽  
Future Emission ◽  
Engine System ◽  
Relationship Of

For the growing importance of future emission restrictions and the expanding requirement for a better fuel economy, the internal combustion engines are forced to be improved for the high strengthening direction. However, the heat loads of the engine is increasing according to the increasing of engine speed and power density, hence, the cooling system is faced to more challenge. For the cooling system is one of the key system which has more effect on the engine efficiency, fuel economy, and exhaust heats; optimize the matching control cooling system becomes one of the key technology to improve the engine performance. In this paper, several overall schemes of the cooling system are analyzed and discussed, and then one design scheme is determined to the optimal for the current diesel engine. A whole engine system is established by the software GT-Power, and the cooling system in the engine system is established by GT-Cool based on the above optimal scheme. During the simulation, the influence on the heat dissipating capability brought by the control parameters, injection advance angle, power, and torque are investigated. At last, the requirement of the heat released under full conditions is analyzed, and the relationship of the fuel consumption and the control parameters is investigated.

scholarly journals A Formation Flight Method with an Improved Deep Neural Network for Multi-UAV System

2020 ◽  
Vol 38 (2) ◽  
pp. 295-302
Author(s):  
Wenguang Xie ◽  
Kang Wu ◽  
Fang Yan ◽  
Haobin Shi ◽  
Xiaocheng Zhang
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Pid Controller ◽  
Deep Neural Network ◽  
High Dimensional Data ◽  
Formation Flight ◽  
High Dimensional ◽  
Electronic Warfare ◽  
The Real ◽  
Multi Uav

It is crucial to develop an effective controller for the multi-UAV system to contribute to the frontier fields, such as the electronic warfare. To address the dilemma of the cooperative formation with the high dimensional data, a deep neural network(NN) controller is developed in this paper. Firstly, a deep NN model is used to tune parameters of PID controller online. Secondly, this paper introduces an improved deep NN model integrating the momentum to improve the performance of the classical NN model and satisfy the condition for the real time cooperative formation. Lastly, the cooperative formation task is achieved by extending the proposed cooperative controller with an improved NN to the complex multi-UAV system. The simulation result of multi-UAV formation demonstrates the effectiveness of the proposed method, which achieves a faster formation than competitors.

Real Time Linear Simulation and Control for the Small Aircraft Turbojet Engine

1997 ◽  
Author(s):  
C. D. Kong ◽  
S. K. Kim
Keyword(s):  
Real Time ◽  
Linear Model ◽  
Dynamic Simulation ◽  
Engine Performance ◽  
The Real ◽  
Turbojet Engine ◽  
Step Model ◽  
Lqr Controller ◽  
Time Linear ◽  
Small Aircraft

The performance of the aero gas turbine engine requires optimization because it is directly related to overall aircraft performance. In this study, a modified DYNGEN, a dynamic simulation program with component maps of the small aircraft turbojet engine, was used. Nonlinear dynamic simulation was performed to predict overall engine performance. Each response characteristic of various cases, such as the 6% rpm step model, the 5% rpm step model, the 3% rpm step model, and the real-time linear model of the interpolation scheme within the operating range were compared. Among them, the real time linear model was selected for the turbojet engine with nonlinear characteristics. Finally control schemes such as the PI (Proportional-Integral Controller) and the LQR (Linear Quadratic Regulator) were applied to optimize engine performance. As a result of comparison of the PI and the LQR controller, the overshoot of the turbine inlet temperature was effectively eliminated by the LQR controller with the proper control gain K.

Sign in / Sign up

Export Citation Format

Share Document