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The development of a tuning paradigm for flight simulator motion drive algorithms.

机译:飞行模拟器运动驱动算法的调整范例的开发。

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This study investigated the tuning of flight simulator motion drive algorithms. The purpose of the study was to develop a tuning paradigm for the subjective pilot-in-the-loop tuning procedure which is currently used to tune flight simulator motion drive algorithms.; A tuning paradigm was developed using knowledge obtained from a linearized analysis of the University of Toronto Classical Washout Algorithm (UTCWA) and a washout filter tuning expert. This tuning paradigm optimizes the motion based on pilot evaluation of a set of tuning maneuvers. The resulting paradigm was captured in an expert system called PROTEST. PROTEST is a hybrid procedure/declarative expert system. The declarative aspect of PROTEST is rule-based with both classical and fuzzy logic rules. Knowledge, available to the expert by observation of the simulator motion during tuning, was provided to PROTEST by an on-line analysis of the simulator motion and motion algorithm states.; Two sets of experiments were run to test the abilities of PROTEST and hence the underlying tuning paradigm. In the first set of experiments four general aviation pilots tuned a set of maneuvers. The maneuvers were tuned independently to eliminate tuning interactions between the maneuvers. At the end of the tuning process, the pilots compared the resulting motion to a case previously tuned by an expert. In the second experiment, two commercial airline pilots tuned four tuning maneuvers in sequence, with the results from one maneuver forming the initial tuning set for the next maneuver. At the end of the tuning process the resulting motion was also compared to the same case previously tuned by an expert. The tuning decisions that were made by PROTEST were closely examined.; In both sets of experiments PROTEST exhibited expert tuning behaviour. The motion obtained using PROTEST was generally rated better than the case previously tuned by an expert. The author (the expert who developed PROTEST) generally agreed with PROTEST's tuning decisions. It was also discovered that PROTEST has limitations in its knowledge. These limitations require that PROTEST occasionally be redirected by the program operator.
机译:这项研究调查了飞行模拟器运动驱动算法的调整。该研究的目的是为主观飞行员在环调整程序开发一种调整范例,该程序目前用于调整飞行模拟器的运动驱动算法。使用从多伦多大学经典冲洗算法(UTCWA)和冲洗滤波器调整专家的线性分析中获得的知识,开发了一种调整范例。该调整范例基于一组调整动作的飞行员评估来优化运动。由此产生的范例被捕获在称为PROTEST的专家系统中。 PROTEST是混合程序/声明专家系统。 PROTEST的声明性方面是基于规则的,具有经典规则和模糊逻辑规则。通过对模拟器运动和运动算法状态的在线分析,可以通过在调试过程中观察模拟器运动为专家提供知识。进行了两组实验以测试PROTEST的能力,从而测试潜在的调整范例。在第一组实验中,四名通用航空飞行员调整了一组演习。操纵独立进行调整,以消除操纵之间的调整交互。在调整过程结束时,飞行员将得到的运动与专家先前调整过的情况进行了比较。在第二个实验中,两名商业航空公司的飞行员依次调整了四个调整动作,一次调整的结果形成了下一个调整的初始调整集。在调整过程的最后,还将所产生的运动与专家先前调整过的相同情况进行了比较。 PROTEST做出的调整决定已得到仔细检查。在这两组实验中,PROTEST均表现出专业的调音性能。使用PROTEST获得的运动通常比专家先前调整过的情况更好。作者(开发PROTEST的专家)总体上同意PROTEST的调整决策。还发现PROTEST在知识上有局限性。这些限制要求程序操作员有时会重定向PROTEST。

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