Abstract:A new neural network nonlinear PID controller (NNXPID) to enhance the performance of the system was proposed. It is easily accomplished by transmitting the proportion, integral, differential coefficient of PID to the neural network to train. The NNXPID was applied in the engine speed controller. The results from the experiment showed that the NNXPID controller has very good dynamic and static properties. Under the control of NNXPID, the steady speed regulation is lower than 5%, the fluctation rate of speed is lower than 0.5%, the instantaneous speed regulation is lower than 10%, and the time required to steady speed is lower than 5s. |
Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.
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