The determination of viscosity is very useful for food quality. Temperature is the most important factor influencing the viscosity and its testing accuracy. The viscosity tester has a low degree of automation, and there are many factors for human participation, which is another important factor in low test accuracy. factor. The low degree of automation also seriously affects the efficiency of viscosity testing.

The main control module of the viscosity tester consists of memory expansion, I/O expansion, watchdog circuits, and opto-electronic signal conditioning circuits. The I/O expansion includes a dot matrix LCD interface, a printer interface, a clock interface, and a serial communication interface extension. The MCUs of the main control module and the temperature detection and control module all use the MSC-51 series of 89C52 chips. It has 256 bytes of RAM, 8 Kbytes of EEP-ROM, and a T2 timer. It has T0 and The T1 timer has the same function and can be used as a baud rate generator and can generate an interrupt.

In order to achieve high-precision temperature control, based on analysis of a variety of control algorithms, we use a multi-mode hybrid control mode, through the expert controller to achieve a combination of various control modes to meet the control of the object Variety. The basic control elements mainly include fuzzy control and PID control, which are used as the decision-making link of the system. The online self-tuning of the parameters of PID control realized by a single neuron with good real-time performance was implemented. From the effect of actual operation, it has achieved a clear advantage over simple fuzzy control.

The viscosity tester controller can combine the control modes of the system according to the changes of the control environment and the control object, and thus form a multi-modal hybrid control algorithm. It combines the advantages of various algorithms and effectively improves the control performance.

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