Abstract
The paper presents designing and control of two-degree-of-freedom helicopter system, with two degrees of freedom. The helicopter is a combination of rotor motors which helps to lift the body of system. This is a nonlinear and unstable system in nature. The control techniques focused are adaptive neuro-fuzzy inference-PID and fuzzy-PID. Helicopter system has been analysed using MATLAB software and analysed in terms of transient response, root-mean-square error, steady-state error and total harmonic distortion analysis for performance assessment. The controllers have been designed with and without integral action.
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Singh, R., Bhushan, B. (2019). Adaptive Neuro-Fuzzy-PID and Fuzzy-PID-Based Controller Design for Helicopter System. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_25
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DOI: https://doi.org/10.1007/978-981-13-6772-4_25
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