DESAIN DAN ANALISIS KENDALI SISTEM SUSPENSI MENGGUNAKAN PID DAN LOGIKA FUZZY DENGAN SIMULINK MATLAB
Abstract
Sistem suspensi merupakan salah satu komponen mekanik yang penting dalam suatu mobil. Sistem tersebut sering kali menimbulkan suatu permasalahan yang sulit dihindari yaitu getaran yang berlebih. Tujuan penelitian yaitu mengetahui kinerja/peformansi sistem kontrol pada sistem suspensi mobil, kontrol yang ditetapkan mampu meredam getaran dan memberikan kenyamanan bagi penumpang. Metode yang digunakan dalam penelitian ini yaitu pemodelan dan simulasi sistem suspensi dan kendalinya menggunakan Simulink Matlab. Kendali yang ditetapkan pada penelitian ini menggunakan kendali PID dan FLC (Fuzzy Logic Controller). Pengujian pada kendali PID dilakukan berulang kali, sehingga dapat diketahui pengaruh pemberian penguatan terhadap hasil peformansi sistem. Hasil pemberian penguatan = 9558.3589, = 57244.9325, Â = 22.9008 menunjukkan peformansi sistem yang sesuai dengan design kriteria. Karakteristik peformansi sistem yang dihasilkan pada kendali PID yaitu settling time = 1.7 sekon, dengan overshoot = 2.09%, peak time = 1.02, rise time = 0.304 sekon. Pengujian pada FLC dilakukan dengan tiga variasi aturan fuzzy yaitu 7 aturan, 25 aturan, dan 49 aturan. Peformansi sistem yang optimal dan sesuai dengan design kriteria pada pemberian 49 aturan fuzzy, dengan karakteristik sistem yaitu settling time = 1.05 sekon, overshoot = 2.78%, peak time = 0.51, rise time = 0.4 sekon. Pengujian dari kedua kendali menunjukkan bahwa hasil peformansi sistem dengan kendali FLC lebih baik daripada kendali PID.
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The suspension system is one of the important mechanical components in a car. Mechanical systems that work often lead to a difficult problem has avoid excessive vibration. The aim of research on this suspension system is able to damped the vibration / oscillation interaction with the street car, so that the resulting of the system can be peformance improve safety and comfort. The method used in this research has to perform modeling and simulation using Simulink Matlab. Control set out in this study using PID controller and FLC (Fuzzy Logic Controller). Tests on PID controller is done any times in order, to determine the effect reinforcement of the peformance system results. Results Award reinforcement = 9558.3589, = 57244.9325, = 22.9008 shows that peformance system accordance with design criteria. Characteristics of the peformance system PID controller has generated on settling time = 1.7 second, with overshoot = 2.09%, peak time = 1.02, rise time = 0.304 second. Tests on FLC do with three variations of fuzzy rules are 7 rules, 25 rules and 49 rules. Peformance system optimal and in accordance with the design criteria has award on 49 fuzzy rules, with the characteristics of the system are second settling time = 1.05 second, overshoot = 2.78%, peak time = 0.51, rise time = 0.4 second. Testing of both controller shows that the results of the analysis peformance system of FLC method is better than PID controller method.
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