In this paper, a direct formula is proposed for design of robust PID controller for sun tracker system using quadratic regulator approach with compensating pole (QRAWCP). The main advantage of the proposed approach is that, there is no need to use recently developed iterative soft computing techniques which are time consuming, computationally inefficient and also there is need to know boundary of search space. In order to show the superiority of the proposed approach, performance of the sun tracker system is compared with the recently applied tuning approaches for sun tracker systems such as particle swarm optimization, firefly algorithm and cuckoo search algorithm. The performance of the existing and proposed approaches are verified in time domain, frequency domain and also using integral performances indices. It is found that the performance is improved in transient, robustness, and uncertainty aspects in comparison to recently proposed soft computing approaches.
In this article, an adaptive control logic is proposed to serve as a supervisory control system sufficient to curb the adverse effects due to modelling uncertainties and external disturbances. The control logic belongs to the class of adaptive control methodologies. The attractive attribute of this technique is that only the superior features of each individual candidate controller are obtained by applying appropriate weight to these controllers. In order to prove its effectiveness and applicability, the benchmark problem for stabilization of cart-inverted pendulum system is carried out using this technique. The system performance is tried against that with each individual candidate controllers existing techniques. In addition, the simulation-based analysis is strengthened by analysing the performance of a real-time cart-inverted pendulum system setup, stabilized using the proposed control logic.
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