Research Article
Load Parameter Identification for Parallel Robot Manipulator Based on Extended Kalman Filter
Algorithm 1
Identification algorithm.
| Algorithm extended Kalman filter algorithm | (1) | Initialize the estimated value of the state variable and the error covariance matrix | (2) | Repeat | (3) | Calculate prior state estimates, | (4) | Calculate the Jacobian matrix, | (5) | Calculate the prior error covariance, | (6) | Calculate Kalman gain, | (7) | Update the posterior state estimate, | (8) | Update posterior error covariance, | (9) | Output the best estimate of this iteration | (10) | Until Simulation stopped | (11) | End |
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