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Final Comment by the Authors

机译:作者的最终评论

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The paper "Optimal Motion Cueing Algorithm Using Motion System Kinematics" by M. Aminzadeh, A. Mahmoodi, and M. Sabzehparvar formulates the geometric constraint terms in the cost function in terms of joint and actuator variables rather than operation or workspace variables. Indeed, the expression of motion platform constraints in actuator variables would be a better representative of motion system limits since all the motion system constraints are explicitly known vs. actuator variables which are, for the case of a 6D0F parallel motion platform, actuator lengths limits and actuator extension rate limits. From both physical and mathematical point of view this representation of actuator constraints is more useful and allows the solution of the optimal problem to yield a result with better assurance of satisfying motion system constraints when they are close to limits and a result with better usage of motion platform workspace to produce better motion sensation when motion constraints are far from the limits.
机译:M. Aminzadeh,A。Mahmoodi和M. Sabzehparvar撰写的论文“使用运动系统运动学的最佳运动提示算法”在关节和执行器变量而非操作或工作空间变量方面,在成本函数中制定了几何约束条件。实际上,执行器变量中的运动平台约束条件的表达将更好地表示运动系统极限,因为与6d0F平行运动平台的情况一样,所有运动系统约束条件与执行器变量相比都是已知的。执行器延伸率限制。从物理和数学的角度来看,执行器约束的这种表示更为有用,并且可以使最优问题的解决方案产生一个结果,从而可以更好地保证满足运动系统约束(当它们接近极限时),并且可以更好地利用运动。平台工作区可在运动约束远非极限时产生更好的运动感觉。

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