Task scheduling is an effective approach to increase the value of a satellite mission, which leads to improved resource management and quality of service. This work improves the energy prediction model and a task scheduling formulation, expressed in integer programming to maximize the number of tasks performed in nanosatellite missions. A realistic battery model is introduced in the formulation to extend battery lifetime. This is achieved by a disjunctive program that makes battery charge and discharge more efficient. Furthermore, fuzzy constraints are designed to limit the current rates (for charge and discharge) and the depth of discharge for battery lifetime preservation. Each battery access is penalized in the objective function, thereby stimulating energy consumption to match energy input. For simulation purposes, the varying power input was based on two-line element data of the CubeSat FloripaSat-I, operating in an orbit with J2 perturbation and an attitude that keeps one face of the nanosatellite towards the Earth for the entire orbit, similar to a remote sensing mission. The effectiveness of the task-scheduling methodology was shown by means of simulated experiments of representative scenarios. With the improvements proposed here, a robust and realistic framework for optimal offline scheduling of nanosatellite missions is achieved.

任务调度是增加卫星任务价值的有效方法，从而改善了资源管理和服务质量。这项工作改进了能量预测模型和任务计划表述，以整数编程表示，以最大化纳米卫星任务中执行的任务数量。在配方中引入了逼真的电池模型，以延长电池寿命。这是通过使电池充电和放电效率更高的析取程序实现的。此外，设计模糊约束来限制电流速率（用于充电和放电）和放电深度，以保持电池寿命。在目标函数中，每次访问电池都会受到惩罚，从而刺激能量消耗以匹配能量输入。出于仿真目的，输入的变化功率基于CubeSat FloripaSat-I的两线元素数据，在具有J2扰动的轨道上运行，并且其姿态使纳米卫星的一个面在整个轨道上都朝向地球，类似于遥感任务。任务调度方法的有效性通过具有代表性的方案的模拟实验得到了证明。通过此处提出的改进，可以实现一个健壮且现实的框架，可对纳米卫星任务进行最佳的离线调度。任务调度方法的有效性通过具有代表性的方案的模拟实验得到了证明。通过此处提出的改进，可以实现一个健壮且现实的框架，可对纳米卫星任务进行最佳的离线调度。任务调度方法的有效性通过具有代表性的方案的模拟实验得到了证明。通过此处提出的改进，可以实现一个健壮且现实的框架，可对纳米卫星任务进行最佳的离线调度。