机电系统运动的拟人控制:仿真与实现

V. Tyrva, A. Saushev, O. Shergina
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引用次数: 1

摘要

本文研究机电系统运动的拟人控制方法问题。作者对模拟技术上可行的控制和由它们发起的“人机”系统运动的相关性做出了结论,其中机电系统代表“机器”。已经证明,系统控制问题的数学公式是确定允许实现设定的控制目标的控制函数。根据工程心理学的思想,确定了两个相互作用的要素,即主体和客体,分别是“人-操作者”和“机器”。它们通过人机界面进行交互。拟人控制模型的建立原则决定了拟人控制在手动、自动或联合(自动)控制的机电系统中技术实现的可能性。本文确定了使用新型联合控制机构对系统对象的控制效果的技术实现细节,其控制元件确保了操作人员与系统机器之间的数据交互。对于工程心理学中使用的口头动作模式以及人-操作员和机器响应,作者开发了描述控制元素运动的系统对象联合控制的数学模型。研究表明,考虑到最优控制问题的数学模型中由于各种原因未考虑的因素,人工操作员保留了校正控制的能力。
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Anthropomorphic Control over Electromechanical System Motion: Simulation and Implementation
The paper considers the methodological issues of anthropomorphic control over electromechanical system motion. The authors make a conclusion on the relevance of simulating technically feasible controls and the ‘man-machine’ system motions initiated by them, where an electromechanical system stands for ‘machine’. It has been shown that the mathematical formulation of the system control problem is to determine the control functions allowing for the achievement of the control goals set. Following the engineering psychology ideas, two interacting elements have been identified, i.e. the subject and the object, which are, respectively, the ‘man-operator’ and ‘machine’. They interact via Man-Machine Interface. It has been established that the anthropomorphic control model building principle determines the possibility of its technical implementation in an electromechanical system with manual, automatic, or joint (automated) control. The paper identifies specifics of technical implementation of the control effects on the system object using the new-type joint control mechanisms, the control elements of which ensure the data interaction between the man-operator and the system’s machine. For a verbal action pattern and the man-operator and machine responses used in engineering psychology the authors have developed the mathematical models of joint control over the system object that describe the control element motions. It has been shown that the man-operator retains the ability to correct the control considering the factors that, for various reasons, have not been considered in the mathematical model of the optimal control problem.
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