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An improved teaching learning based optimization method to enrich the flight control of a helicopter system

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Abstract

A helicopter is a multivariable, nonlinear, higher order and strongly coupled system. The helicopter dynamics is subjected to unknown external disturbances and sensitive to parametric uncertainties. Such complications require a sophisticated control approach which may handle all these difficulties. The paper presents a trajectory control approach using an improved teaching learning based optimization (iTLBO) method, which optimizes the parameters of proportional integral derivative controller. This control approach is validated by minimizing the yaw and pitch errors of two degrees of freedom helicopter system. It is observed that the experimental results in a laboratory setup does not stand true when subjected to weather changes during the helicopter flight. To overcome this situation, a real time like conditions are created in the laboratory using the two external fans creating strong wind disturbance and the proposed controller is implemented to eliminate the resulting external disturbances created due to high speed wind of external fans. Initially, modelling of helicopter system is achieved using the Lagrangian approach. Then, the TLBO is tuned to improve the controller performance using MATLAB platform. The effectiveness and superiority of iTLBO is proved over other optimization techniques available in literature like GA, PSO and TLBO by using linear and nonlinear benchmark functions. The optimized parameters hence obtained are implemented on helicopter system under the presence of external air disturbance and disturbance less results are obtained. Results obtained are validated using time response analysis on the MATLAB/Simulation platform.

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  1. Electrical Engineering Department, Delhi Technological University, New Delhi, India

    Abhishek Chaudhary & Bharat Bhushan

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  1. Abhishek Chaudhary
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  2. Bharat Bhushan
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Correspondence to Abhishek Chaudhary.

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Chaudhary, A., Bhushan, B. An improved teaching learning based optimization method to enrich the flight control of a helicopter system. Sādhanā 48, 222 (2023). https://doi.org/10.1007/s12046-023-02271-4

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