​Amiodarone is a commonly used antiarrhythmic drug which may induce pulmonary toxicity. To achieve high quality medical treatment, it is necessary to supervise a well-​controlled medical protocol to avoid anomalies in such a drug and in any similar one. This work proposes the use of a fractional-order PIλ D δ controllers to maintain a consistent pharmacokinetics for drug administration. The additional fractional-order parameters, 0 < λ,δ ≤ 1, which provide additional features to such controller, are determined using the Particle Swarm Optimization (PSO) algorithm. This is accomplished by approximating s −λ or s δ by 1st- or 2nd -order rational transfer functions to minimize the ITAE, IAE, ISE, and ITSE error functions. The study includes a comparison between Oustaloup’s and El-Khazalis’ approximations to show the effectiveness and the cost of each controller design. All results are verified via numerical simulations​