The consensus in piano tuning philosophy explains the stretched tuning scale by the inharmonicity of piano strings. Simulation is conducted on a 20 rpm three-phase permanent magnet synchronous motor servo drive-based piano tuning system to validate the proposed piano tuning method and to verify the proposed control techniques. Then, a fuzzy-adaptive proportional integral controller is specially-designed for the triple closed-loop position-regulation to adapt to the piano tuning applications. It terms of the control schemes, it deserves to be mentioned that main contributions include, firstly, the parameters of the proportional integral controllers in the double closed-loop speed-regulation structure is tuned relying on both stability and bandwidth analyses. And to ensure high position control performance, a fuzzy-adaptive triple closed-loop position-regulation-based control scheme is employed. To ensure that the surface-mounted permanent magnet synchronous motor can rotate stably over the low-speed range with strong anti-interference capacity, a double closed-loop speed-regulation-based control scheme is employed. Secondly, the piano tuning devices have two functions: low-speed rotation and position holding. To explain the techniques, firstly, the structure and principles of the automated piano tuning devices with a surface-mounted permanent magnet synchronous motor-based drive system integrated are introduced, illustrating that it is feasible to implement the proposed piano tuning strategy. The permanent magnet synchronous motor-based drives are able to improve the accuracy of the piano tuning process in comparison with the traditional direct-current motor-based and step motor-based servo drives. This paper presents an intelligent permanent magnet synchronous motor-based servo drive system used in automated piano tuning applications. The findings from this paper can be used to create a complete automatic tuner that could make the process of piano tuning quick and inexpensive. They are also tested against the existing method of using Railsback curves, and it is shown that comparison using Railsback curves is an unreliable method of assessing different tunings. The results found are explained using a beat-based analysis, and are consistent with some previous studies. This rule was rated best among four tuning rules that were compared in the test. This rule consists of matching the two tones in an octave interval so that the first partial frequency of the upper tone becomes exactly the same as the second partial frequency of the lower tone. In this paper we determine a simple and reliable rule for tuning the high tones of a piano with the help of a listening test. Attempts at automatic tuning are usually assessed by comparing the Railsback curve of the results with the curve of a professional tuner. This motivates the question of whether this process can be automated. Aural tuning is time consuming and requires the help of a professional. Piano tuning is known to be difficult because the stiffness of piano strings causes the tones produced to be inharmonic.
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