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An algorithm of adaptive torque control in injector internal combustion engine

机译:喷射器内燃机中自适应扭矩控制算法

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摘要

Subject of Research. Internal combustion engine as a plant is a highly nonlinear complex system that works mostly in dynamic regimes in the presence of noise and disturbances. A number of engine characteristics and parameters is not known or known approximately due to the complex structure and multimode operating of the engine. In this regard the problem of torque control is not trivial and motivates the use of modern techniques of control theory that give the possibility to overcome the mentioned problems. As a consequence, a relatively simple algorithm of adaptive torque control of injector engine is proposed in the paper. Method. Proposed method is based on nonlinear dynamic model with parametric and functional uncertainties (static characteristics) which are suppressed by means of adaptive control algorithm with single adjustable parameter. The algorithm is presented by proportional control law with adjustable feedback gain and provides the exponential convergence of the control error to the neighborhood of zero equilibrium. It is shown that the radius of the neighborhood can be arbitrary reduced by the change of controller design parameters. Main Results. A dynamical nonlinear model of the engine has been designed for the purpose of control synthesis and simulation of the closed-loop system. The parameters and static functions of the model are identified with the use of data aquired during Federal Test Procedure (USA) of Chevrolet Tahoe vehicle with eight cylinders 5,7L engine. The algorithm of adaptive torque control is designed, and the properties of the closed-loop system are analyzed with the use of Lyapunov functions approach. The closed-loop system operating is verified by means of simulation in the MatLab/Simulink environment. Simulation results show that the controller provides the boundedness of all signals and convergence of the control error to the neighborhood of zero equilibrium despite significant variations of engine speed. The radius of the neighborhood is far less than required level of 20 N×m that affords ground for practical implementation of the algorithm. Practical Relevance. The proposed algorithm is recommended for application in the practical problem of torque control in injector and other types of ICE.
机译:研究主题。作为植物的内燃机是一种高度非线性复杂系统,主要在噪音和干扰存在下的动态制度。由于发动机的复杂结构和多模而不知道,许多发动机特性和参数尚不清楚或已知。在这方面,扭矩控制的问题并不琐碎,并激励使用现代的控制理论技术,使得能够克服提到的问题。结果,在纸上提出了一种采用喷射器发动机的相对简单的自适应扭矩控制算法。方法。所提出的方法基于具有参数和功能不确定性的非线性动态模型(静态特性),其通过具有单个可调参数的自适应控制算法抑制。该算法通过比例控制定律提出,具有可调节的反馈增益,并提供对零均衡邻域的控制误差的指数趋同。结果表明,通过控制器设计参数的变化,邻域的半径可以是任意的。主要结果。该发动机的动态非线性模型专为控制合成和闭环系统的仿真而设计。该模型的参数和静态功能是通过在雪佛兰脱蹄车辆的联邦测试程序(美国)期间使用的数据来识别,其中八个气缸5,7L发动机。设计自适应扭矩控制算法,并通过使用Lyapunov功能方法分析闭环系统的特性。通过Matlab / Simulink环境中的模拟验证闭环系统操作。尽管发动机速度显着变化,但是控制器的仿真结果表明,尽管发动机速度的显着变化,但是控制器的所有信号和控制误差的收敛到零平衡距离的界限。邻域的半径远小于所需的20n×m,为实际实现的算法提供了基础。实际相关性。建议在喷射器和其他类型的冰中扭矩控制的实际问题中应用该算法。

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