Abstract：The hydraulic turnover mechanism, using a dual cylinder hinge, is an advanced blade mould closing equipment of high technologies, mostly used for megawatt class wind blades above 40 meters, where more than three mechanisms are arranged along one blade mould at the same time. Obviously, there will be an unbalanced load on each mechanism due to the irregular shape of moulds and the inaccurate installing locations. The synchronous performance of multiple rotating arms, during a large-angle rotating process, directly influences the service life of blade moulds and the production quality of wind blades. For the turnover mechanism to enjoy high reliability, adaptability and control accuracy, a new control method using the distributed single neuron PID algorithm is proposed for a synchronous control of angular displacement of rotating arms. An improved LMS algorithm is used in the learning process, and the gain of the neuron output is adjusted automatically by the neuron based on the motion analysis results. Through rotating motion analysis with iterations, some basic parameters are determined, and a mechanical and hydraulic combined simulation model in AMESim is established, including a planar mechanical model. The LabVIEW subprogram of neuron PID could be run through dynamic shared memory simultaneously. Finally, the results of traditional PID and neuron PID are shown in the same plot. It is shown through simulation results as well as practical applications that this method enjoys a good control accuracy for nonlinear and time variant unbalanced systems.
2009, Vol. 27 
