Abstract

The paper considers modern information and measurement systems (IMS), which may include systems of various purposes, such as a unit of quartz pendulum accelerometers or a precision rotary test bench where angular rate meters of different accuracy class and operation principle and apparent acceleration meters are used as its inertial sensory elements. The developed method of estimation of IMS errors based on the frequency method allows one to obtain a comprehensive integral estimation of errors for virtually any IMS, thus enabling application of digital filtering algorithms for error compensation in the IMS control processor.

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